At a Glance
- Tasks: Lead and deliver strategic data engineering programmes using Python and Databricks.
- Company: Major global banking organisation expanding its data engineering capabilities.
- Benefits: Competitive daily rate, hybrid work model, and potential contract extensions.
- Other info: Hands-on leadership role with opportunities for career growth and influence.
- Why this job: Make a real impact in a high-visibility role with senior stakeholder exposure.
- Qualifications: 10+ years in data/software engineering with strong Python and Databricks skills.
A major global banking organisation is expanding its data engineering capability and requires a senior Technical Delivery Lead to drive the successful delivery of strategic data platform initiatives. This position is ideal for someone who enjoys leading from the front—combining technical leadership, operational delivery and hands-on engineering expertise within complex enterprise environments.
You will own the delivery of critical data engineering programmes while actively contributing to design, development and technical decision-making across the platform.
The Role
This is a high-impact leadership position where you will be responsible for both strategic delivery and deep technical execution. Responsibilities include:
- Owning end-to-end delivery of enterprise data engineering programmes
- Driving successful execution across timelines, quality and business objectives
- Designing and building scalable data solutions using Python, Spark and Databricks
- Providing architecture leadership across Lakehouse and data platform initiatives
- Managing technical risks, dependencies and delivery challenges
- Working directly with business stakeholders, architects and leadership teams
- Mentoring engineers and driving a culture of engineering excellence
- Establishing best practice across CI/CD, governance, monitoring and platform reliability
- Remaining hands-on with development and technical problem solving (30–50% of your time)
What We're Looking For
- 10+ years within data or software engineering
- Experience leading complex data engineering programmes
- Strong hands-on Python background
- Advanced Databricks expertise
- Spark / PySpark experience
- Strong data architecture and Lakehouse design knowledge
- Cloud platform experience (AWS, Azure or GCP)
- Agile delivery experience
- Proven leadership and stakeholder management capability
- Ability to balance engineering depth with delivery ownership
Why This Role
- Highly visible programme with senior stakeholder exposure
- Opportunity to influence technical direction and architecture
- Genuine hands-on leadership role
- Strategic data transformation programme
- Strong likelihood of extension beyond the initial contract term
To apply – click the link or email for a faster response.
Data Manager in Slough 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.
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We think this is how you could land Data Manager in Slough
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We think you need these skills to ace Data Manager in Slough
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.
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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.
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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.
