At a Glance
- Tasks: Design and develop data pipelines for a groundbreaking energy project.
- Company: Join the Civil Works Alliance, shaping the UK's energy future.
- Benefits: Competitive salary, generous leave, pension scheme, and flexible benefits.
- Other info: Diverse and inclusive workplace with strong values and career growth opportunities.
- Why this job: Make a real impact on clean energy while advancing your tech skills.
- Qualifications: Degree in computer science or related field; experience with data engineering.
The predicted salary is between 63000 - 77000 £ per year.
Help Shape the UK’s Energy Future. Data Engineer Opportunity with the Civil Works Alliance (CWA), Supporting Sizewell C.
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.
What will you do?
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. 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. 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.
Principal Accountabilities, Activities and Decisions
- Deliver Data Integration and Data Engineering Services
- Design, develop and maintain robust data pipelines that support CWA's data platform.
- Ensure data is reliably ingested from source systems into Azure Data Factory and Azure Databricks.
- Deliver scalable, secure and reusable data engineering solutions that meet business requirements.
- Ensure Data Quality and Integrity
- Implement controls to improve data accuracy, completeness and consistency.
- Monitor data pipelines and resolve data quality issues.
- Support the development of trusted data products for reporting, analytics and AI use cases.
- Support Agile Delivery
- Contribute to Agile planning, sprint delivery and continuous improvement activities.
- Provide accurate estimations and technical input to work packages.
- Deliver assigned backlog items in line with agreed priorities and timelines.
- Collaborate with Business and Analytics Teams
- Work closely with Data Analysts and business stakeholders to understand requirements.
- Support testing, validation and User Acceptance Testing (UAT).
- Ensure delivered data products meet business needs and acceptance criteria.
- Maintain Data Platform Standards
- Apply data governance, security and architecture standards.
- Support documentation, metadata management and lineage requirements.
- Contribute to platform performance, reliability and operational support.
- Drive Continuous Improvement and Innovation
- Identify opportunities to automate and optimise data processes.
- Promote best practice in data engineering, DevOps and platform operations.
- Contribute to the development of the CWA Data & AI capability.
What are we looking for?
Qualifications & Experience
Essential
- A Degree in computer science, software engineering, information technology or data science.
Functional
- Technical Design & Data Engineering
- End-to-End Delivery & Technical Ownership
- Data Integration & Pipeline Development
- Data Quality, Monitoring & Production Support
- Stakeholder Engagement & Collaboration
- Independent Troubleshooting & Problem Solving
- Agile / Scrum Development
- Azure DevOps, CI/CD & Release Management
- Technical Documentation
Technical
- Azure Databricks, PySpark, Python & SQL
- Azure Data Factory
- Azure Functions
- Azure Data Lake / Lakehouse
- REST APIs & Third-Party System Integration
- Azure SQL
- Logic Apps
- Azure DevOps, Git & CI/CD
- Docker / Containers
- Data Quality, Monitoring & Logging
- Data Modelling fundamentals
- Azure Security, IAM & Service Principals
- Performance & Cost Optimisation
Desirable
- Experience working on large-scale infrastructure, engineering or construction programmes.
- Familiarity with AI/ML data preparation pipelines.
What we will offer you?
The CWA is a single delivery organisation made 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.
About Us
The CWA celebrates the creativity and innovation that comes from a diverse workforce, and we welcome applications from people of all backgrounds — especially those from under-represented communities. Our project is built on five core values: Humility, Positivity, Respect, Solidarity, and Clarity. By joining us, you’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.
We are committed to protecting your privacy. If you decide to apply, please avoid including sensitive personal data in your CV.
Data Engineer employer: CWA
As an Environment & Sustainability Manager with the Civil Works Alliance, you will be part of a pioneering project that shapes the UK's energy future through the construction of Sizewell C, a low-carbon power station. The CWA fosters a collaborative and inclusive work culture, offering competitive salaries, generous leave, and opportunities for professional growth while championing diversity and innovation. Join us to make a meaningful impact in sustainability and enjoy a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CWA!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at CWA.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CWA.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CWA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CWA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CWA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CWA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
