Newly created opportunity for a Data Engineer (Data Extraction & Data Warehouse Management) responsible for the design, development, and maintenance of Group data extraction, transformation, and loading (ETL) processes and enterprise data warehouse. The role ensures the availability, integrity, and performance of core data assets that support business intelligence, reporting, and decision-making across the organisation. Remote working options with occasional group travel.
This role has been created to support key growth and productivity initiatives across Procurement, SIOP, and Finance by strengthening internal data warehouse and reporting capability. It will be key to enabling data-driven decisions, improving operational efficiency, and supporting growth, working closely with analytics and business systems teams to build scalable, secure, and robust data infrastructure.
Our client is a growing world-leading supplier of B2B and B2C products with c700 employees across multiple sites in the UK, Europe, the US and India. With leading brands, innovative products, and a global footprint, they are committed to delivering sustainable solutions that protect public health and work in harmony with nature.
Data Engineer - On-going responsibilities
* Design, build, and maintain ETL/data pipelines from multiple internal and external sources
* Develop and extend data models and schemas within the data warehouse
* Ensure data quality, accuracy, governance, and documentation
* Optimise data warehouse performance, scalability, and cost
* Troubleshoot data issues and implement automation where possible
* Collaborate with analysts, BI teams, and business stakeholders
The role will initially focus on projects driving cost savings and cash flow, including:
* Procurement savings initiatives (~€4m)
* Supporting inventory reduction through improved data visibility
* Enhancing cash control via better payment-term management and reporting
You will also provide technical support for a Celonis process mining project, helping establish data connections, define extraction points, and ensure reliable data for analysis.
Data Engineer - Essential experience
* Degree level qualification in IT, Computer Science, or equivalent experience
* 2+ years’ experience in data engineering, ETL, or data warehousing
* Strong SQL skills and experience with relational databases
* Experience with cloud data platforms (e.g. AWS Redshift, Azure)
* Hands-on experience with ETL tools (e.g. dbt, CData) and scripting (Python, Shell)
* Solid understanding of data modelling, governance, and performance optimisation
* Strong analytical, communication, and documentation skills
Desirable
* Experience with BI tools (e.g. Power BI, ThoughtSpot)
* Knowledge of data privacy regulations (e.g. GDPR)
* Additional language skills (Dutch, French, Spanish, Hindi)
This is a rare opportunity to play a pivotal role in the Data Team, driving high-impact improvements that directly support business growth.
Full job description available on request.
Our client is committed to creating a diverse and inclusive workplace. All applications will be considered.
If you would like to learn more, please apply or contact Tim Hill at Technical Placements for an initial chat about the role