At a Glance
- Tasks: Lead the delivery of innovative data engineering solutions using Python and Databricks.
- Company: Join a dynamic consultancy making waves in the financial sector.
- Benefits: Competitive daily rate, flexible working, and opportunities for career growth.
- Other info: Collaborate with a talented team in a vibrant, inclusive environment.
- Why this job: Make a real impact on exciting projects while developing your technical leadership skills.
- Qualifications: Experience in data engineering, strong Python skills, and leadership experience required.
The predicted salary is between 70000 - 90000 £ per year.
Contract: 6 months - Potentially extension.
Location: London Hybrid (5 days in 10 in the office)
Rate: Highly competitive
Status: Inside IR35
Working pattern: Full time
We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives. This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities.
Essential Skills
- Proven experience in Data Engineering or Software Engineering.
- Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position.
- Strong hands-on expertise with Python.
- Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake.
- Strong experience with Apache Spark / PySpark.
- Proven track record building and optimising large-scale ETL/ELT pipelines.
- Strong understanding of modern data architecture and Lakehouse principles.
- Excellent SQL skills and experience working with distributed data systems.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong Agile delivery experience.
- Experience leading technical teams and delivering complex projects.
Expected split: ~30-50% hands-on coding + technical problem-solving
Key Responsibilities
- Lead end-to-end delivery of data engineering solutions.
- Design and build scalable data pipelines using Databricks and Azure.
- Develop and optimise solutions using Python and PySpark.
- Drive engineering best practices, code reviews, and technical standards.
- Work closely with architecture, business, and technology stakeholders.
- Mentor and support engineers within the team.
- Contribute to data platform and Lakehouse architecture decisions.
What We're Looking For
- Approximately 60% hands-on engineering and 40% technical leadership.
- Proven experience leading data engineering teams.
- Strong stakeholder management and communication skills.
- Experience delivering greenfield data platform initiatives.
This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth.
Why Join Us?
- Work on innovative projects that make a difference in the financial sector.
- Collaborate with a talented team in a vibrant environment.
- Enjoy a competitive daily rate and flexible working arrangements.
If you are ready to take your career to the next level and contribute to exciting projects, apply now!
Lead Data Engineering (Hands-on Python / Databricks) in London employer: Adecco
Join a forward-thinking company that values innovation and collaboration, where you can lead impactful data engineering projects in the heart of London. With a vibrant work culture that promotes inclusivity and professional growth, you'll have the opportunity to mentor talented engineers while enjoying competitive rates and flexible working arrangements. This role not only offers hands-on technical challenges but also the chance to shape the future of data solutions in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineering (Hands-on Python / Databricks) 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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Lead Data Engineering (Hands-on Python / Databricks) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
