At a Glance
- Tasks: Build and optimise large-scale data pipelines using cutting-edge technologies.
- Company: Major UK organisation investing in Data and AI.
- Benefits: Competitive salary, hybrid work model, and opportunity to tackle complex challenges.
- Other info: Hands-on role with excellent career growth in a modern enterprise environment.
- Why this job: Join a dynamic team and make a real impact on data engineering projects.
- Qualifications: Strong experience in Spark, PySpark, Python, and cloud data engineering.
The predicted salary is between 45000 - 55000 £ per year.
Requirements
- Strong Spark and Py Spark engineering experience
- Experience developing and modernising large-scale data pipelines
- Strong Python skills and software engineering fundamentals
- Experience with performance, scalability, and workload optimisation
- Cloud data engineering experience, ideally on AWS
- Experience with CI/CD and modern engineering practices
- Experience working in complex, enterprise-scale data environments
- Senior or Lead-level data engineering experience
- Ability to use AI tools to accelerate development while maintaining strong engineering judgement
Responsibilities
- Build, modernise, and optimise data workloads in a large-scale, complex environment
- Work hands-on across engineering rather than overseeing from a distance
- Develop and modernise large-scale data pipelines
- Apply performance and scalability improvements to data workloads
- Use AI to support the development lifecycle while reviewing and correcting AI-generated code where needed
- Deliver robust engineering solutions that scale properly
Technologies
- AI
- AWS
- CI/CD
- Cloud
- Support
- Python
- Py Spark
- Spark
More
We are a major UK organisation making significant investment across our Data and AI estate.
This is a Senior or Lead Data Engineer contract role based in London on a hybrid arrangement with three days onsite.
The initial contract duration is six months, and the role is inside IR35.
We are looking for a hands-on engineer who enjoys tackling genuinely large-scale data challenges and working in a modern, complex enterprise environment.
- last updated 33 week of 2026
- #J-18808-Ljbffr
Senior/Lead Data Engineer employer: WeDoTech
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Bristol. As a D365 F&O Solution Architect, you'll have the opportunity to lead impactful projects across Europe, with a strong focus on employee growth and development. Enjoy a competitive salary, flexible hybrid working arrangements, and the chance to shape the future of finance solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Lead 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 WeDoTech 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 WeDoTech.
✨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 WeDoTech.
We think you need these skills to ace Senior/Lead Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at WeDoTech, 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 WeDoTech, 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 WeDoTech’s attention and show the tangible impact of your work.
How to prepare for a job interview at WeDoTech
✨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 WeDoTech.
✨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 WeDoTech.
✨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 WeDoTech.
