At a Glance
- Tasks: Lead the transformation of complex data pipelines and establish engineering excellence.
- Company: Global tech organisation driving innovative cloud data solutions.
- Benefits: Competitive daily rate, flexible contract, and collaborative work environment.
- Other info: Opportunity for significant career growth within a dynamic, tech-driven culture.
- Why this job: Shape the future of data engineering with cutting-edge technologies and AI tools.
- Qualifications: Experience in senior Data Engineering roles and expertise in Python and PySpark.
The predicted salary is between 70000 - 90000 £ per year.
We're supporting a global, technology-led organisation undertaking a large-scale cloud data transformation programme. This isn't a traditional Data Engineering role. The organisation is modernising hundreds of complex data pipelines, establishing reusable engineering patterns and embedding engineering excellence across its Data function.
As a Staff-level engineer, you'll combine deep hands-on technical expertise with organisation-wide technical influence, helping shape how modern Data Engineering is delivered across multiple engineering teams. This is an opportunity to work on enterprise-scale data movement, cloud-native architectures and AI-assisted software engineering within a highly collaborative engineering culture.
You'll be responsible for:
- Defining technical standards and engineering patterns for a large-scale Data Modernisation programme
- Re-engineering complex legacy data pipelines into production-grade PySpark
- Building scalable, reusable data movement frameworks across multiple engineering teams
- Driving best practice around AWS Glue, Apache Spark and Apache Airflow
- Designing high-quality testing frameworks covering performance, data quality and reliability
- Leveraging Agentic AI development tools to improve engineering productivity while maintaining code quality
- Coaching and influencing experienced engineers through technical leadership rather than line management
- Working closely with enterprise architecture and platform teams to improve how data is governed, managed and consumed
We're looking for someone with experience in Staff, Principal or Lead Data Engineering roles:
- Python and expert-level PySpark
- AWS Glue
- Apache Spark
- Apache Airflow
- Cloud-native Data Engineering architectures
- Large-scale data pipeline modernisation
- Building reusable engineering patterns within enterprise environments
- Data testing, validation and observability
- AI-assisted software development using modern coding assistants
- Working within regulated or highly governed organisations
More important than any individual technology is your ability to combine hands-on engineering excellence with technical leadership, helping multiple engineering teams adopt consistent, scalable engineering practices.
Contract £(Apply online only) per day (inclusive) Initial 6-month contract with significant programme runway Inside IR35 London (3 days per week on-site)
Staff Data Engineer | London | Contract | Inside IR35 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 Staff Data Engineer | London | Contract | Inside IR35
✨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 Staff Data Engineer | London | Contract | Inside IR35
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.
