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# Data Engineering Manager

- **Company:** RSK Group
- **Location:** London, UK
- **Salary:** £70,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Data Infrastructure, Data Integration, Data Systems, Data Warehousing, Python (Programming Language), Azure Data Factory, Sql Optimization, Snowflake, Information Technology, Data Analytics
- **Published:** September 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5885195781

## About the Role

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.

## Description

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.


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