Data Engineer
Harnham · London, England ·
Overview
In this contract role, you will design and implement scalable data pipelines to consolidate customer data into a single, trusted view for a major hospitality operator. You’ll work with the Lead Data Engineer to enable marketing activation and insights through a CDP, including real-time capabilities. The role combines data engineering with cross-functional collaboration and DevOps-aligned automation to ensure data quality and reliability. This is a greenfield opportunity to shape the data foundation behind a leading customer data platform and drive data-driven engagement.
Responsibilities
- Design and build robust data pipelines to consolidate customer data into a single, trusted view
- Clean, transform, and enrich data for marketing activation and segmentation within the CDP
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Automate data ingestion, transformation, and testing processes aligned with DevOps best practices
- Implement data quality frameworks and validation tests to ensure accuracy and reliability
- Contribute to the evolution of the platform, including real-time and streaming capabilities
Key requirements
- Strong experience with SQL and Python
- Hands-on experience with dbt or similar transformation frameworks
- Familiarity with Git, CI/CD, and automated testing for data quality
- Excellent collaboration and communication skills with both technical and non-technical stakeholders
- A proactive, problem-solving mindset and passion for data-driven customer engagement
- collaboration
- communication
- proactivity
- SQL
- Python
- dbt or similar transformation frameworks
Market data from EasyWorkClub, not from the employer
Typical pay for Data scientist in London: £62,000 – £98,900, from 241 adverts
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