Negotiable
Undetermined
Hybrid
London, UK
Summary: The Distribution Data and Analytics Engineering Lead will oversee the Distribution Data Analytics platform, providing insights to enhance Sales and Marketing efforts. This role involves managing a high-performing engineering team, modernizing data platforms, and collaborating with senior stakeholders to deliver technical solutions. The position is based in London and requires a hybrid work setup with four days in the office. The contract duration is six months.
Key Responsibilities:
- Lead the Distribution Data Analytics platform, delivering actionable insights across Sales and Marketing.
- Shape and execute a prioritised delivery roadmap, balancing business needs and technical trade-offs.
- Manage and mentor a high-performing engineering team, ensuring technical excellence and delivery quality.
- Oversee vendor and partner relationships, maintaining SLAs, risk management, and delivery standards.
- Modernise data platforms for reliability, scalability, and AI readiness, supporting advanced analytics initiatives.
- Collaborate with senior stakeholders to translate business requirements into robust technical solutions.
Key Skills:
- 10+ years' experience in data engineering, analytics platforms, or software development.
- Proven leadership overseeing data engineering or analytics teams, fostering high performance.
- Experience with data analytics platforms and enterprise-scale delivery.
- Exposure to Salesforce, Snowflake, and AWS systems; technical fluency in Python or PySpark.
- Background in data engineering within Asset Management or Financial Services.
- Strong stakeholder management, able to translate business needs into technical solutions.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Distribution Data and Analytics Engineering Lead
Location: London
Contract: 6 months
Work Setup: Hybrid - 4 days in the office
Who We Are
Columbia threadneedle is a UK-based investment management firm providing equities, Fixed Income, and multi-asset solutions. It focuses on delivering long-term, risk-adjusted returns through disciplined investment and strong market research.
What you'll do
- Lead the Distribution Data Analytics platform, delivering actionable insights across Sales and Marketing.
- Shape and execute a prioritised delivery roadmap, balancing business needs and technical trade-offs.
- Manage and mentor a high-performing engineering team, ensuring technical excellence and delivery quality.
- Oversee vendor and partner relationships, maintaining SLAs, risk management, and delivery standards.
- Modernise data platforms for reliability, scalability, and AI readiness, supporting advanced analytics initiatives.
- Collaborate with senior stakeholders to translate business requirements into robust technical solutions.
What you bring
- 10+ years' experience in data engineering, analytics platforms, or software development.
- Proven leadership overseeing data engineering or analytics teams, fostering high performance.
- Experience with data analytics platforms and enterprise-scale delivery.
- Exposure to Salesforce, Snowflake, and AWS systems; technical fluency in Python or PySpark.
- Background in data engineering within Asset Management or Financial Services.
- Strong stakeholder management, able to translate business needs into technical solutions.
What's Next
If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more.
We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you.
This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.