At a Glance
- Tasks: Lead data engineering projects while getting hands-on with Python and Databricks.
- Company: Join a leading banking client in London with a focus on innovation.
- Benefits: Hybrid work model, competitive contract rate, and potential for extensions.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Shape enterprise data initiatives and make a real impact in the banking sector.
- Qualifications: Strong Python skills and experience in data engineering leadership.
The predicted salary is between 70000 - 90000 £ per year.
Harrington Starr is seeking a Data Engineering Lead / Technical Delivery Lead for a London-based banking client.
The role combines hands-on Python engineering with leadership and delivery ownership, guiding enterprise data initiatives and ensuring strong technical direction.
The position involves 30–50% hands-on development, leading architecture, delivery, and best practices within the team.
It is a 6-month contract with extensions, offering a hybrid work model (London, 3 days on-site).
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Data Engineering Lead — Hands-On Python & Databricks employer: Harrington Starr
Join a leading high-volume futures trading organisation in London, where you will play a pivotal role in ensuring the stability of critical trading and clearing platforms. With a strong focus on employee growth and a collaborative work culture, this company offers competitive daily rates and long-term contract opportunities, making it an excellent employer for those seeking meaningful and rewarding careers in the capital markets sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead — Hands-On Python & Databricks
✨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 Harrington Starr 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 Harrington Starr.
✨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 Harrington Starr.
We think you need these skills to ace Data Engineering Lead — Hands-On Python & Databricks
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harrington Starr, 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 Harrington Starr, 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 Harrington Starr’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harrington Starr
✨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 Harrington Starr.
✨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 Harrington Starr.
✨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 Harrington Starr.
