At a Glance
- Tasks: Join a leading AI lab to build and manage data pipelines.
- Company: Mercor, a forward-thinking tech company with global reach.
- Benefits: Competitive pay, flexible hours, and the chance to work on cutting-edge projects.
- Other info: Intensive project from 14 September to 10 October 2026, UK-based only.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: Experience in SQL, Python, and data engineering tools like Spark and Kafka.
The predicted salary is between 63000 - 77000 £ per year.
Mercor is recruiting UK-Based Data Engineering experts for a short, intensive project with a globally leading AI lab.
What the work involves: You will produce the kind of professional documents and deliverables you create day to day in your own field, working alongside experts from the other two domains. Those outputs are then logged and used to build the tasks and rubrics that train and evaluate frontier AI models, so your professional judgement is the core of what makes the work valuable.
Who we are looking for:
- Data Engineers - hands-on data engineers who build and own pipelines in production.
- Titles such as Data Engineer, Senior or Staff Data Engineer, Analytics Engineer, Data Platform Engineer and Data Architect.
- Core stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure.
- Some roles focus on hands-on delivery, others on documenting and structuring that work.
Commitment: 40 hours per week, running from 14 September to 10 October 2026. The project team collaborates on a UK business-hours rhythm. You should not be committed to other projects requiring significant hours during this period. Smaller side projects can be discussed.
The vetting process involves:
- Resume and work history screen
- A short assessment evaluating domain expertise
Please note: Candidates must be based in the United Kingdom and have the right to work in the United Kingdom. This is an essential requirement for the role.
Data Engineering Expert - UK Based employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Expert - UK Based
✨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 Mercor 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 Mercor.
✨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 Mercor.
We think you need these skills to ace Data Engineering Expert - UK Based
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Mercor, 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 Mercor, 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 Mercor’s attention and show the tangible impact of your work.
How to prepare for a job interview at Mercor
✨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 Mercor.
✨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 Mercor.
✨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 Mercor.
