As part of the RSK Groups continued growth, we are recruiting for a Data Engineering Manager to lead the development of our data platform and engineering capability.
This is a full time, hybrid role(minimum 3 days per week in the office) based at our office in London – Chancery Exchange.
The successful candidate will be responsible for building and managing a high-performing team, overseeing our Snowflake and dbt platforms, and delivering the scalable, reliable data solutions that support reporting, analytics and business decision-making across the Group. This is an exciting opportunity to make a significant impact in a growing and evolving data function.
Key Responsibilities:
- Lead the group’s data engineering and analytics engineering capability – the pipelines, the Snowflake and DBT platform, and the models and datasets that group reporting is built on.
- Build and grow a permanent in-house team: recruit, develop, line-manage and retain engineers, and create the conditions in which good engineers want to stay.
- Plan and complete the transfer of knowledge from delivery partners and contractors into the permanent team, so that core platform knowledge is owned rather than rented.
- Own delivery: prioritise ruthlessly, plan realistically, commit publicly and report progress honestly – keeping a small team focused on a few funded priorities rather than spread thinly across many.
- Hold the balance between new build and keeping the lights on: standardise pipelines, automate checks, retire low-value assets, and require every new asset to declare its expected running cost before it is built.
- Make data onboarding for newly acquired businesses a repeatable product with a target time from completion to data-live, and be accountable for hitting it.
- Own the technical roadmap for the platform with the Group Head of Data and Analytics – ingestion, warehouse, transformation, orchestration and BI infrastructure.
Person Specification:
- A relevant degree (e.g. computer science, engineering, mathematics) or equivalent practical experience.
- Proven experience leading and line-managing a data engineering or analytics engineering team, with a hands-on engineering background behind it.
- Technical credibility across the modern data stack – Snowflake, DBT, Fivetran, Azure Data Factory, Python, advanced SQL – enough to make architectural calls and to review work properly.
- A track record of delivering a data platform in a complex, multi-source environment rather than a single tidy estate; experience integrating data from acquisitions is highly desirable.
- Strong delivery management: prioritisation, planning, roadmaps and dependable commitments under real constraints.
- Experience bringing outsourced or partner-delivered work in-house, including structured knowledge transfer, is highly desirable.
Salary and Benefits:
- Contributory pension scheme
- Life assurance
Full job description attached under ‘Documents’
RSK Group is proud to be an Equal Opportunities Employer
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