At a Glance
- Tasks: Design and build high-quality data pipelines for a major analytics transformation.
- Company: Established transport sector business with a focus on data innovation.
- Benefits: Competitive pay of £550/day, hybrid work model, and 12-month contract.
- Other info: Opportunity to work on cutting-edge projects with excellent career growth.
- Why this job: Shape the future of data engineering in a dynamic, growing team.
- Qualifications: 5+ years in data engineering, strong Databricks and Python skills required.
The predicted salary is between 60750 - 74250 £ per year.
A well-established transport/travel sector business is expanding its Data & Middleware function as part of a major analytics transformation, and is looking for a Senior Data Engineer to help build out its data platform and data products. You'll join a growing team modernising a legacy estate onto a modern Event Sourcing Architecture, producing high-quality data for analytics via a flexible, platform-engineering-led approach. This is a genuine build role - shaping the technical direction of the platform, not just maintaining what's there.
The role:
- Design, build and operate high-quality data pipelines end-to-end
- Lead on data modelling, working closely with business analysts and engineers to structure data for clarity, integrity and efficiency
- Be involved across the full project lifecycle - planning through to delivery and run
- Maintain a strong security and data-protection focus throughout
What you'll need:
- 5+ years' progressive data engineering experience
- Strong Databricks and Spark expertise - platform internals, performance, DAB, Delta Lake, declarative pipelines
- Advanced Python, with solid software/DevOps practice (version control, unit testing, pipelines-as-code, CI/CD)
- Excellent data modelling skills, comfortable with tradeoffs across technical and organisational lines (Conway's Law)
- Advanced SQL, with experience querying data lakes/lakehouses
- Experience ingesting data via APIs, database connections or other methods
- Strong Agile delivery experience in a self-organising team
- Clear, persuasive communication with both technical and non-technical stakeholders
Nice to have: platform engineering exposure, event sourcing/data modelling experience, ML/AI operationalisation on data platforms, PostgreSQL, dbt.
Details: Hybrid, 2-3 days/week in London. 12-month contract, £550/day outside IR35.
Senior Data Engineer in London employer: Oliver James Careers
Join a forward-thinking organisation in London that prioritises innovation and employee development. As a Service Design and Transition Lead, you'll benefit from a collaborative work culture that values your expertise while offering competitive rates and flexible onsite arrangements. With a focus on meaningful projects and opportunities for professional growth, this role is perfect for those looking to make a significant impact in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Oliver James Careers before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oliver James Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Oliver James Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Oliver James Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oliver James Careers
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Oliver James Careers.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Oliver James Careers.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Oliver James Careers.
