At a Glance
- Tasks: Design and build data pipelines for a major migration project using cutting-edge Azure tools.
- Company: Fast-scaling European digital infrastructure provider with a dynamic work culture.
- Benefits: Competitive pay up to £500/day, hybrid work model, and contract flexibility.
- Other info: Opportunity to work in a collaborative environment with excellent career growth potential.
- Why this job: Join a transformative project and make a real impact on data systems across Europe.
- Qualifications: Experience in data engineering and migration, with strong problem-solving skills.
The predicted salary is between 60000 - 70000 £ per year.
Data Engineer - Data Migration Programme | London (Hybrid) | Contract - up to £500/d (outside IR35) Are you a Data Engineer with hands-on experience delivering enterprise data migration solutions?
Our client - a fast-scaling European digital infrastructure provider with 100+ sites across the continent - is looking for a Data Engineer to join a major transformation programme consolidating multiple operational systems into a single target platform.
You'll be at the centre of the migration workstream: building the pipelines, transformation logic, and validation frameworks that move data from legacy systems into the new target operating platform - working closely with the Data Workstream Lead, business SMEs, and application teams.
What you'll be doing: Designing and building ETL/ingestion pipelines using Microsoft Fabric (Data Factory, Pipelines, Lakehouse, Notebooks) or equivalent Azure tooling Implementing source-to-target mappings and transformation logic for the migration Owning data validation, reconciliation, and defect resolution through migration test cycles Building reusable migration frameworks - ingestion pipelines, validation routines, error-handling Supporting CI/CD, Git-based release processes via Azure Dev Ops What you'll bring: Extensive data engineering/integration/migration experience Hands-on...
Data Engineer employer: Oliver James
Join a leading UK life insurer that prioritises employee development and collaboration within a dynamic actuarial environment. As a Life Actuary, you'll not only enhance your technical skills in capital modelling and stress testing but also engage with senior stakeholders, contributing to impactful business decisions. With a strong focus on career growth and a supportive team culture, this role offers a unique opportunity to shape your future while making a meaningful contribution to the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Oliver James.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Oliver James.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oliver James, 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, 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’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oliver James
✨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.
✨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.
✨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.