ai engineer

data scientist

machine learning engineer

senior data scientist

senior data engineer

data engineer

Civil Works Alliance

<div><b>Help Shape the UK&rsquo;s Energy Future</b><p><b><br>
Data Engineer Opportunity with the Civil Works Alliance (CWA), Supporting Sizewell C</b></p>
<p>
As part of the CWA (Civil Works Alliance), you will support the building of Sizewell C. Sizewell C will be a 3.2-gigawatt power station generating low-carbon electricity for around 6 million homes and will play a key role in our energy future, supplying reliable, clean electricity for at least 60 years. This role will be within the CWA Wide Section.</p><b><br>
What will you do?</b><p><br>
The Data Engineer will play a key role in the design, development, and operation of CWA's enterprise data platform. Working within an Agile delivery environment, the successful candidate will be responsible for building and maintaining scalable, secure, and reliable data pipelines that ingest data from multiple source systems into our Azure Data Factory and onward into the CWA data platform hosted in Databricks.</p>
<p>
The role will work closely with the Data Analytics Team, Data Modellers, Business Stakeholders and source system owners to ensure data is delivered in a trusted, governed and consumable format that enables reporting, analytics, operational insights and future AI capabilities.</p>
<p>
The Data Engineer will contribute to the continuous improvement of CWA's data platform, ensuring solutions are robust, performant, cost-effective and aligned to enterprise architecture, security and governance standards.</p><br>
<p></p>
<p>
Principal Accountabilities, Activities and Decisions</p>
<p><b>
Deliver Data Integration and Data Engineering Services</b></p>
<ul>
<li>Design, develop and maintain robust data pipelines that support CWA's data platform.</li>
<li>Ensure data is reliably ingested from source systems into Azure Data Factory and Azure Databricks.</li>
<li>Deliver scalable, secure and reusable data engineering solutions that meet business requirements.</li>
</ul>
<p><b>Ensure Data Quality and Integrity</b></p>
<ul>
<li>Implement controls to improve data accuracy, completeness and consistency.</li>
<li>Monitor data pipelines and resolve data quality issues.</li>
<li>Support the development of trusted data products for reporting, analytics and AI use cases.</li>
</ul>
<p><b>Support Agile Delivery</b></p>
<ul>
<li>Contribute to Agile planning, sprint delivery and continuous improvement activities.</li>
<li>Provide accurate estimations and technical input to work packages.</li>
<li>Deliver assigned backlog items in line with agreed priorities and timelines.</li>
</ul>
<p><b>Collaborate with Business and Analytics Teams</b></p>
<ul>
<li>Work closely with Data Analysts and business stakeholders to understand requirements.</li>
<li>Support testing, validation and User Acceptance Testing (UAT).</li>
<li>Ensure delivered data products meet business needs and acceptance criteria.</li>
</ul>
<p><b>Maintain Data Platform Standards</b></p>
<ul>
<li>Apply data governance, security and architecture standards.</li>
<li>Support documentation, metadata management and lineage requirements.</li>
<li>Contribute to platform performance, reliability and operational support.</li>
</ul>
<p><b>Drive Continuous Improvement and Innovation</b></p>
<ul>
<li>Identify opportunities to automate and optimise data processes.</li>
<li>Promote best practice in data engineering, DevOps and platform operations.</li>
<li>Contribute to the development of the CWA Data &amp; AI capability.</li>
</ul><br>
<b>What are we looking for?</b><p><b><br>
Qualifications &amp; Experience</b></p>
<p><b>
</b></p><p>Essential</p>
<ul>
<li>A Degree in computer science, software engineering, information technology or data science</li>
</ul>
<p>Functional</p>
<p>
</p><ul><li>Technical Design &amp; Data Engineering</li>
<li>End-to-End Delivery &amp; Technical Ownership</li>
<li>Data Integration &amp; Pipeline Development</li>
<li>Data Quality, Monitoring &amp; Production Support</li>
<li>Stakeholder Engagement &amp; Collaboration</li>
<li>Independent Troubleshooting &amp; Problem Solving</li>
<li>Agile / Scrum Development</li>
<li>Azure DevOps, CI/CD &amp; Release Management</li>
<li>Technical Documentation</li>
</ul>
<p>Technical</p>
<p>
</p><ul><li>Azure Databricks, PySpark, Python &amp; SQL</li>
<li>Azure Data Factory</li>
<li>Azure Functions</li>
<li>Azure Data Lake / Lakehouse</li>
<li>REST APIs &amp; Third-Party System Integration</li>
<li>Azure SQL</li>
<li>Logic Apps</li>
<li>Azure DevOps, Git &amp; CI/CD</li>
<li>Docker / Containers</li>
<li>Data Quality, Monitoring &amp; Logging</li>
<li>Data Modelling fundamentals</li>
<li>Azure Security, IAM &amp; Service Principals</li>
<li>Performance &amp; Cost Optimisation</li>
</ul>
<p>Desirable</p>
<ul>
<li>Experience working on large-scale infrastructure, engineering or construction programmes.</li>
<li>Familiarity with AI/ML data preparation pipelines.</li></ul><br>
<p><b>
</b></p><br>
<b>What we will offer you?</b><p><br>
The CWA is a single delivery organisation made of up of the client (Sizewell C) and three parent companies - Balfour Beatty, Bouygues and Laing O'Rourke - which offer industry leading packages including market leading salaries, generous annual leave entitlements, pension scheme and other flexible benefits.</p><b><br>
About Us</b><p><br>
The CWA celebrates the creativity and innovation that comes from a diverse workforce, and we welcome applications from people of all backgrounds &mdash; especially those from under‑represented communities. Our project is built on five core values: Humility, Positivity, Respect, Solidarity, and Clarity.<br>
<br>
By joining us, you&rsquo;ll be encouraged to bring your whole self to work, speak up, and share your ideas. We encourage applications from all suitably qualified candidates, regardless of gender, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.<br>
<br>
We are committed to protecting your privacy. If you decide to apply, please avoid including sensitive personal data in your CV.</p><br>
Job Reference: CWA00365</div>

Data Engineer

GTR Railway

<ul><li><div>Salary:</div>
<div>Competitive</div>
</li><li><div>Location:</div>
<div>Monument Place</div>
</li><li><div>Contract Type:</div>
<div>Permanent</div>
</li><li><div>Closing Date:</div>
<div>11 September 2026</div></li></ul>
<br><div></div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Data Engineer</b></h1>
<p><b>Location:</b> Hybrid, Monument Place
<br>
<b>Reporting to:</b> Platform Lead</p>
<p>Are you passionate about creating scalable data solutions that drive business insight, support operational decision making and enable the next generation of AI capabilities?</p>
<p>At GTR, we're looking for a talented <b>Data Engineer</b> to join our growing Data &amp; AI function and help shape the future of our enterprise DataHub platform.</p>
<b>What You'll Do</b>
<p>As a Data Engineer, you will design, build and maintain high-quality data models and pipelines within GTR's DataHub platform to enable trusted reporting, analytics and advanced machine learning use cases. You will work closely with analysts across the business to translate requirements into performant, well-governed data products that support both operational insight and future predictive work.</p>
<p>While the role is primarily technical, you will be expected to demonstrate sufficient business understanding to work effectively with subject matter experts, understand end-to-end use cases, and deliver data solutions that genuinely meet operational and decision-making needs.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Design, build and maintain curated data models within the DataHub platform, including Lakehouse, Warehouse and semantic models.</li>
<li>Develop, maintain and monitor ETL/ELT pipelines using Microsoft Fabric pipelines and associated tooling.</li>
<li>Work closely with analysts and subject matter experts to understand business requirements and translate them into robust data solutions.</li>
<li>Ensure data models are scalable, performant, well documented and aligned to agreed governance and architectural standards.</li>
<li>Contribute to data quality, continuous improvement initiatives and the development of data structures that support analytics, machine learning and AI workloads.</li><br>
</ul><p></p><p><b>What You'll Bring</b></p>
</div><div><ul><li>Experience delivering data engineering solutions within an enterprise or large-scale environment.</li>
<li>Strong understanding of data engineering principles, including data modelling, ETL/ELT development and pipeline orchestration.</li>
<li>Experience working with Microsoft Fabric, including Lakehouse, Warehouse, semantic models, notebooks and pipelines.</li>
<li>Strong SQL and data transformation skills.</li>
<li>Degree in Data Science, Computer Science, Statistics, Mathematics or a related discipline, or equivalent practical experience.</li>
</ul><h2 class="jobSectionHeader"><b>Desirable</b></h2>
<ul><li>Experience supporting reporting and analytics platforms such as Power BI.</li>
<li>Knowledge of Medallion Architecture (Bronze, Silver and Gold) and analytical data modelling patterns.</li>
<li>Understanding of how data platforms support advanced analytics, machine learning and AI use cases.</li>
<li>Experience working within formal governance, deployment and change management processes.</li>
<li>Strong stakeholder engagement skills with the ability to work effectively with both technical and non-technical audiences.</li><br>
</ul></div><p></p><div><br>
<h2 class="jobSectionHeader"><b>Why Join Us?</b></h2>
<p>This is an exciting opportunity to join GTR's growing Data &amp; AI function and help build the trusted data foundations that support reporting, analytics, machine learning and AI across the organisation.</p>
<p>You'll work with modern Microsoft technologies, collaborate with Data Architects, Data Scientists and AI Engineers, and play a key role in enabling data-driven decision making across one of the UK's largest train operating companies.</p>
<p>Our culture is built around being <b>Fair, Accountable, Collaborative, Transparent and Open-Minded</b>, while ensuring everyone feels <b>Valued, Respected and Safe</b>.</p>
<h2 class="jobSectionHeader"><b>Ready to Build the Future of Data at GTR?</b></h2>
<p>If you're passionate about data engineering, modern cloud technologies and delivering solutions that make a real impact, we'd love to hear from you. Join us and help power the data-driven future of GTR.</p><br>
</div><p></p><p><b>How to Apply</b></p>
<p>Please complete the application form and submit your CV.</p>
<p>We look forward to hearing from you and exploring whether GTR could be your next career step.</p>
<p><b>Please note that we reserve the right to close this vacancy earlier than the advertised closing date if we receive a high volume of suitable applications.</b></p></div></div></div><div></div><div><ul><br>
 </ul></div></div></div></div><div></div><div><div><div><h1 class="jobSectionHeader"><b>Benefits</b></h1>
</div></div><div><div><h3 class="jobSectionHeader"><b>Pension</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Staff Travel</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Childcare Vouchers</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Extra Holidays</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Discount Scheme</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Long Service Awards</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Employee Assistance Programme</b></h3>
</div><div><h3 class="jobSectionHeader"><b>The Transport Benevolent Fund</b></h3>
</div><div><h3 class="jobSectionHeader"><b>In-House Occupational Health Department</b></h3>
</div><div><h3 class="jobSectionHeader"><b>Cycle to Work Scheme</b></h3></div></div></div></div></div>

Octopus Energy

<div><div>Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need many more people to help us make our vision a reality.</div>
<div></div>
<div>Octopus Energy Generation (OEGEN) is a leader in sourcing, investing in, and managing a wide range of utility-scale renewable energy assets. As we continue to expand our investment base, we are dedicated to building a diverse team that reflects the communities we serve. Currently, we manage a global portfolio of over &pound;8 billion in renewable energy assets.</div>
<div></div>
<div>We are committed to delivering best-in-class responsible investment activity, offering like-minded investors the means and products to invest their capital sustainably. It is our ambition to change the entire energy lifecycle and make every green electron matter, delivering the best outcomes for customers, investors, the environment and society, accelerating the transition to net zero.</div>
<div>
<div><p><b>OEGEN </b><b>Data, Tech &amp; Transformation </b><b>Team</b></p>
</div>
<div><p>We are embarking on a comprehensive transformation program designed to drive significant advancements in our business operations and technology landscape. Our primary goal is to transition from our current reliance on legacy systems and specialized off-the-shelf tools to a more integrated, AI-driven, and data-centric operational model.</p>
</div>
<div><p>Leveraging insights and guidance from our other technically mature entities like Kraken and OE, we plan to adopt cutting-edge tools and capabilities, particularly in AI and Python-driven solutions.</p>
</div>
<div><p>By investing in a diverse range of skills, we aim to create a hybrid team capable of operating in both our legacy and future environments, ultimately transforming OEGEN into an efficient, data-driven organization.</p>
<p><b>
About the role</b></p>
<div>
<p>We&rsquo;re looking for a Data Engineer who can own the journey of data from source systems to decision-ready outputs. You&rsquo;ll build and maintain pipelines, model data, stand up dashboards, and integrate systems via APIs. In a team this size, you&rsquo;ll also get involved in application development - building internal tools with Streamlit, FastAPI, or HTMX that put data directly in the hands of our investment and asset management teams.</p>
</div>
<div><p>In your first 3 months you&rsquo;ll have taken ownership of at least one critical pipeline from an external system into Databricks, and built or materially improved a reporting layer used by Fund Management or Asset Management.</p>
</div>
</div></div><h3 class="jobSectionHeader"><b>What you'll do</b></h3><div>
<div><div><ul><li>Design, build, and maintain scalable data pipelines in Databricks, ensuring data is reliable, timely, and well-documented.</li>
<li>Own and evolve our Databricks models - define schemas, enforce testing, and keep the warehouse clean.</li>
<li>Automate manual data processes using Python, replacing spreadsheets and ad-hoc workflows with robust, repeatable jobs.</li>
<li>Build performance dashboards and reports in Streamlit and HTMX (FastAPI) that Finance, Asset Management, and Fund Management actually use.</li>
<li>Integrate internal and third-party systems via REST APIs, improving data accessibility across the business.</li>
<li>Champion data quality - implement validation, monitoring, and governance practices that give stakeholders confidence in the numbers.</li>
<li>Collaborate directly with non-technical teams to understand their problems and translate them into data solutions.</li>
</ul></div></div></div><h3 class="jobSectionHeader"><b>What you'll need</b></h3><div>
<div><ul><li>Strong SQL and Python skills, used daily for pipeline development, data modelling, and automation.</li>
<li>Experience with modern data stack tooling: a cloud data platform (Databricks preferred), and version control (Git/GitHub).</li>
<li>A solid understanding of data modelling, warehousing patterns, and ETL/ELT design.</li>
<li>To be comfortable working with Postgres or similar relational databases.</li>
<li>Clear communication - you can explain a data model to a fund manager and discuss trade-offs with an engineer.</li>
<li>A bias toward shipping: you&rsquo;d rather get something working and iterate than spend weeks in design.</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Bonus points for</b></h3><div>
<div><ul><li>Full-stack development experience - particularly with Streamlit, FastAPI, or HTMX.</li>
<li>Experience building and managing REST APIs, including authentication, rate limiting, and documentation.</li>
<li>Familiarity with renewable energy, infrastructure investment, or financial services data.</li>
<li>Experience evaluating and adopting AI/ML tooling to augment engineering workflows.</li>
</ul></div></div><h3 class="jobSectionHeader"><b>\uD83D\uDC9A Why else you'll love it here</b></h3><ul>
<li>\uD83D\uDCB0 Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!</li>
<li>\uD83C\uDF89 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We&rsquo;ve also been placed in the top 10 companies for senior leadership</li>
</ul><div>Our process usually takes up to 4 weeks, but we&rsquo;ll always do our best to flex around what works for you. Along the way, you&rsquo;ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at hiring@octoenergy.com and we&rsquo;d love to help!</div>
<div></div>
<div>If this sounds like you then we'd love to hear from you.</div>
<div></div>
<div><i>Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!</i></div>
<div></div>
<div><i>Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.</i></div>
<p>
Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses. We&rsquo;re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team. If you&rsquo;d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com. We&rsquo;re happy to help!</p></div>

SmartestEnergy

<div><p>The purpose of this role is to support the development and maintenance of enterprise data solutions including the <b>Data Lakehouse</b>, <b>Data Warehouse</b>, and <b>Medallion Architecture</b>. This role will work alongside senior engineers and architects to build, test, and deploy scalable data pipelines, with a focus on tasks such as ingestion, data validation, and structured transformations.</p><p>
The role is a hands-on opportunity for someone early in their data engineering career to gain deep experience with Microsoft&rsquo;s Azure Data Platform and <b>Microsoft Fabric</b>, working on real-world solutions under guidance and mentorship.</p><p><b>
How will I spend my time in this role?</b></p><p>
 &middot; <b>Data Integration Support</b><br>
Assist with building and maintaining data ingestion pipelines from various sources using tools like Microsoft Fabric, Azure Data Factory and Synapse pipelines.</p><ul><li><b>ETL Development</b></li></ul>
Develop and maintain reusable ETL processes, supporting the all layers of the Medallion Architecture, with a focus on reliability, reusability, and simplicity.<ul><li><b>Notebook Automation Support</b></li></ul>
Help implement and schedule <b>metadata-driven notebooks</b> in Fabric working with Spark under the supervision of senior engineers.<ul><li><b>Data Quality and Testing</b></li></ul>
Assist in implementing and monitoring data quality checks, validation rules, and basic lineage tracking.<ul><li><b>Documentation and Data Catalogue Support</b></li></ul>
Document data flows, transformations, and support updates to data cataloguing tools or metadata repositories.<ul><li><b>BI &amp; Reporting Integration</b></li></ul>
Assist with connecting data models to <b>Power BI</b>, and help develop certified datasets and semantic layers for self-service users.<ul><li><b>Environment &amp; DevOps Support</b></li></ul>
Learn and contribute to CI/CD processes using Azure DevOps and Git. Support code reviews and testing cycles.<ul><li><b>Learning and Development</b></li></ul>
Be an active participant in code reviews, design sessions, and platform learning. Take ownership of tasks and work through feedback constructively.<ul><li><b>Testing and Data Quality Assurance</b> Develop and maintain unit tests to validate pipeline logic and data transformations. Collaborate with engineering peers to continuously refine test coverage and uphold data integrity standards.</li></ul><p><b><br>
What skills/experience do I need to be successful?</b></p><p>
 &middot; Successful delivery of sprints to the satisfaction of stakeholders.</p><ul><li>Data Pipeline Reliability-Pipelines run with minimal failures and auto-recovery</li><li>Data Latency - Freshness meets defined SLAs for Bronze, Silver, Gold layers</li><li>Valuable insight into the business is delivered through the implementation of new solutions.</li><li>Innovation -Regular adoption of new Fabric AI and automation features</li><li>Implement Robust solutions with minimal time spent fixing bugs.</li></ul><p><b>
What sets us apart?</b></p><ul><li><p><b><br>
Global Impact:</b> With offices in the UK, US, and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.</p></li><li><p><b>
Flexible Working:</b> Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize work-life balance, recognizing that your well-being matters. Find out more here.</p></li><li><p><b>
Commitment to Diversity and Inclusion:</b> We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.</p></li></ul><p></p><p><b>
What does hybrid working mean to us?</b></p><p>
Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.</p><p><b>
What happens next?</b></p><p>
Once we receive your application, it will be reviewed by a human &ndash; no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.</p><p>
Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now.</p><p><i>
We're committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs. At the bottom of each of our adverts you can find one of our recruitment teams' contact details. Please reach out so we can discuss with you further.</i></p><p>
Check out all our current open positions</p><p>
Our privacy policy is here</p></div><p></p>

NTT DATA

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
<br><br>
Your day at NTT DATA
<br><br>
We are seeking a highly skilled Databricks Data Engineer to join our Data AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
<br><br>
As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
<br>.
<br><br>
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
<br><br>
Primary Responsibilities
<br><ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Databricks Lakehouse Architectures</li>
<li>Data Modelling Optimisation (Delta Lake, Medallion architecture)</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
<br><ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers, and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
<b>To thrive in this role, you need to have:</b><br>
Key Competencies
<br><ul>
<li>Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
<br><ul>
<li>Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Familiarity with Databricks Workflows and other orchestration tools.</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with medallion architectures, data lakehouse principles and distributed data processing.</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
<br><ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Databricks.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Databricks certifications (Data Engineer Professional) highly desirable.</li>
</ul>
Measures of Success
<br><ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Databricks-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
<br><br>
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
<br><br>
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
<br><br>
application services. Our consulting and industry solutions help organizations and society move
<br><br>
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
<br><br>
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
<br><br>
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
<br><br>
Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
<br><br>
Third parties fraudulently posing as NTT DATA recruiters
<br><br>
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Databricks Data Engineer

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
<br><br>
Your day at NTT DATA
<br><br>
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
<br><br>
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
<br><br>
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
<br><br>
Primary Responsibilities
<br><ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
<br><ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
<b>To thrive in this role, you need to have:</b><br>
Key Competencies
<br><ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
<br><ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
<br><ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
<br><ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
<br><br>
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
<br><br>
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
<br><br>
application services. Our consulting and industry solutions help organizations and society move
<br><br>
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
<br><br>
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
<br><br>
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
<br><br>
Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
<br><br>
Third parties fraudulently posing as NTT DATA recruiters
<br><br>
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

Arcadis

<p></p><div><p>Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.</p>
<p>
We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.</p>
<p><b>
Role description:</b></p>
<div>
Arcadis is seeking a <b>Senior Data Engineer </b>to design, develop, and optimise enterprise-scale data solutions that support major projects, programmes, and business functions.
</div><div>As a technical specialist within multidisciplinary teams, you will lead the delivery of robust, scalable, and secure data platforms, pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions.
</div><div>The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security.
</div>
<p><b>Role accountabilities:</b></p>
<ul>
<li>Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources.</li>
<li>Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions.</li>
<li>Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making.</li>
<li>Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets.</li>
<li>Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements.</li>
<li>Drive continuous improvement through automation, process optimisation, and adoption of industry best practices.</li>
<li>Ensure compliance with Arcadis standards relating to information management, data governance, cyber security, and data privacy.</li>
<li>Troubleshoot and resolve complex data-related issues, providing technical expertise and guidance to project teams.</li>
<li>Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures.</li>
<li>Support the development of junior team members through mentoring, knowledge sharing, and technical leadership.</li>
<li>Contribute to the development of organisational data engineering standards, frameworks, and reusable solutions.</li>
<li><div>Support solution architecture, platform design, and strategic data initiatives across programmes and business functions.
</div></li></ul><p><b>Qualifications &amp; Experience:</b></p>
<div>
<b>Essential Experience</b>
</div><ul><li>Demonstrable experience delivering data engineering solutions within complex project, programme, or enterprise environments.</li>
<li>Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms.</li>
<li>Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.</li>
<li>Strong understanding of data modelling, database design, metadata management, and data architecture principles.</li>
<li>Experience implementing data quality, governance, and assurance practices.</li>
<li>Experience supporting reporting, analytics, and business intelligence solutions.</li>
<li>Understanding of information security, cyber security, and data protection requirements within enterprise environments.</li>
<li>Experience working directly with stakeholders to gather requirements and translate them into technical solutions.</li>
<li>Ability to manage competing priorities and deliver high-quality outputs within project timescales.</li>
</ul><div><b>Desirable Experience</b>
</div><ul><li><div>Experience within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments.
</div></li><li>Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices.</li>
<li><div>Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies.
</div></li><li><div>Information Management in a complex construction or infrastructure project/programme
</div></li><li>Experience developing enterprise data products and supporting AI or advanced analytics initiatives.</li>
</ul><div><b>Education / Background</b>
</div><div>One or more of the following:
</div><ul><li>Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline.</li>
<li>Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management, or equivalent.</li>
<li>Equivalent demonstrable experience delivering complex data engineering solutions.</li>
</ul><div><b>Key Competencies</b>
</div><ul><li>Strong analytical and problem-solving capability.</li>
<li>Technical leadership and mentoring skills.</li>
<li>Excellent stakeholder engagement and communication skills.</li>
<li>Ability to influence data management best practice across teams.</li>
<li>Continuous improvement mindset with a focus on automation and innovation.</li>
<li>Commitment to quality, sustainability, and secure data practices.</li>
</ul>
<p>Why Arcadis?</p>
<p>
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.</p>
<p>
You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.</p>
<p>
Together, we can create a lasting legacy.</p>
<p>
Join Arcadis. Create a Legacy.</p>
<p>
Our Commitment to Equality, Diversity, Inclusion &amp; Belonging</p>
<p>
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&amp;I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.</p></div><p></p>

Senior Data Engineer

Explore 578+ Data engineer in London this September. Find roles across top companies and apply now to boost your career.

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