At a Glance
- Tasks: Design and optimise data pipelines using AWS, dbt, Python, and SQL.
- Company: Join a leading UK-based tech firm with a focus on data engineering.
- Benefits: Remote work, competitive pay, and long-term contract opportunities.
- Other info: Exciting chance for career growth in a dynamic, hands-on role.
- Why this job: Make a real impact in data engineering while working with cutting-edge technologies.
- Qualifications: Strong experience with AWS, dbt, Python, and SQL required.
The predicted salary is between 60750 - 74250 £ per year.
I'm looking for a Senior Data Engineer to join a long-term data engineering programme for a major UK client. This is a 12-month initial B2B contract with the intention to roll long-term, working fully remotely from the UK. They're looking to get someone onboard for the 14th September 2026.
Location: Remote United Kingdom
Contract: Outside IR35
Duration: 12 months initially – rolling / long-term
Start: 14th September 2026.
The core technology stack is:
- AWS – strong hands-on Data Engineering experience with AWS
- dbt – MUST HAVE – recent production experience is essential
- Python
- SQL
- ETL / ELT pipelines
- Data Modelling / Data Warehousing
The biggest focus for this search is dbt. I'm looking for engineers who are actively using dbt in production – building and maintaining models, transformations, testing and scalable dbt projects - rather than candidates who have simply had exposure to it.
Alongside this, you'll need a strong background building data solutions within AWS, with experience across relevant services such as S3, Glue, Lambda, Redshift, Athena, EMR or similar.
This is a genuinely hands-on Senior Data Engineer role. You'll be designing, building and optimising data pipelines, developing Python and SQL solutions, improving data quality and reliability, and taking ownership of engineering deliverables through to production.
Experience with Spark/PySpark, Airflow, Terraform, Snowflake, Redshift or Databricks would also be a bonus.
Please note: You must currently be based in the UK and have full right to work as a contractor in the UK.
If you're a Senior Data Engineer in Poland with strong AWS + dbt + Python + SQL experience and you're open to a long-term contract, also feel free to apply as we may have an opening for this location also - tbc.
Equally, if you know someone who fits the bill, feel free to send this their way!
Senior Data Engineer in Norwich employer: TechShack
TechShack is an excellent employer, offering a dynamic remote work environment that prioritises flexibility and work-life balance. With a strong focus on professional development, employees have access to unique opportunities for growth within government-facing projects, particularly in the Cabinet Office sector. The company fosters a collaborative culture, ensuring that team members feel valued and supported while contributing to meaningful projects that make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Norwich
✨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 TechShack 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 TechShack.
✨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 TechShack.
We think you need these skills to ace Senior Data Engineer in Norwich
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at TechShack, 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 TechShack, 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 TechShack’s attention and show the tangible impact of your work.
How to prepare for a job interview at TechShack
✨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 TechShack.
✨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 TechShack.
✨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 TechShack.
