At a Glance
- Tasks: Build and maintain data pipelines for a major UK organisation using Snowflake.
- Company: Join hedgehog lab, a leading digital product and engineering consultancy.
- Benefits: Contract role with hybrid work, competitive pay, and potential for extension.
- Other info: Work with AI-assisted tools and enjoy excellent career growth opportunities.
- Why this job: Make an impact in a high-scale environment while using cutting-edge tech.
- Qualifications: Strong Python and SQL skills, plus experience with dbt and Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
We need Data Engineers to build the pipelines that move a large regulated UK organisation's data onto Snowflake. It's a high-scale environment, and this is where most of the delivery happens, so we're hiring more than one.
What you'll do:
- Build and maintain data pipelines feeding Snowflake.
- Model and transform data with dbt.
- Work with streaming data through Kafka.
- Write clean, tested Python and SQL that other people can rely on.
What we're looking for:
- Strong Python and SQL.
- Hands‑on dbt experience.
- Real pipeline development experience with Snowflake.
- Exposure to Kafka or event streaming.
- Comfortable using AI‑assisted development tools like GitHub Copilot as part of your everyday workflow.
Bonus points for: AWS and any experience in regulated environments.
About hedgehog lab:
We're hedgehog lab, a digital product and engineering consultancy. For nearly 20 years we've embedded engineers inside the teams of well‑known organisations in regulated, high‑trust sectors, from financial services to the public sector. We're a certified B Corp. We're also serious about AI‑assisted engineering. We've built our own agentic tooling and cut time‑to‑merge by around 60% on recent work, and our people get to use that on real projects.
The details:
- Contract, outside IR35.
- 3 to 6 months, with strong potential to extend.
- Hybrid. You'll work from the client's London, Bristol or Edinburgh office a couple of times a week.
Data Engineer (Contract) Engineering · Edinburgh, Manchester, Bristol in London employer: hedgehog lab
As an AI Transformation Architect, you'll join a forward-thinking company that prioritises innovation and employee autonomy. With a flexible hybrid working environment across major UK cities, you will have the opportunity to shape the future of AI development while enjoying generous benefits like 28 days of annual leave, wellbeing support, and dedicated Impact Days for personal growth. This is a place where your contributions are valued, and you can truly make a difference in both client projects and internal practices.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Contract) Engineering · Edinburgh, Manchester, Bristol 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 hedgehog lab 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 hedgehog lab.
✨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 hedgehog lab.
We think you need these skills to ace Data Engineer (Contract) Engineering · Edinburgh, Manchester, Bristol in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at hedgehog lab, 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 hedgehog lab, 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 hedgehog lab’s attention and show the tangible impact of your work.
How to prepare for a job interview at hedgehog lab
✨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 hedgehog lab.
✨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 hedgehog lab.
✨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 hedgehog lab.
