Data Engineer
Posted Today by Maxwell Bond
£55 Per hour
Outside
Hybrid
Manchester Area, United Kingdom
Summary: The Data Engineer role focuses on building and evolving behavioral data products using Python and SQL within a hybrid work model. The position involves transforming raw data into structured datasets and ensuring data quality for media and market research clients. The successful candidate will collaborate with various teams to deliver new features and maintain documentation. This role is outside IR35 and requires a strong attention to detail and communication skills.
Key Responsibilities:
- Design and evolve data product schemas, translating requirements into well-structured datasets
- Build and maintain data feeds using Python and SQL for transformation, validation, and delivery
- Monitor and improve data quality through checks, diagnostics, and analysis of large datasets
- Work with Product, Engineering, Apps, and ML teams to deliver new features and improvements
- Maintain clear, accurate documentation for data products and processes
Key Skills:
- Strong Python skills with experience writing production-quality data pipelines
- Solid SQL skills with experience handling large datasets
- Strong attention to detail with a focus on data quality and validation
- Clear communicator who works well across teams
- Comfortable using AI tools to improve productivity and learning
- Experience with AWS data tools such as S3, Spark, Athena, or workflow orchestration tools (nice to have)
- Exposure to AI-assisted workflows (nice to have)
Salary (Rate): £55.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Engineer (Python) 6 months initial 2 days a week onsite in Manchester Outside IR35 This organisation delivers data-driven insights to media and market research clients. Its platform provides actionable data solutions to global brands, helping them make informed, strategic decisions.
The Role You will join the Data Products team and take ownership of building and evolving behavioural data products. You will turn raw data signals into structured, high-quality datasets. You will use Python and SQL to define schemas, apply business logic, enforce quality checks, and deliver client-ready data feeds. The role follows a hybrid model with two days in the office each week and the rest remote.
About You You enjoy working close to data and solving how real-world behaviour translates into clean, reliable datasets.
Why Join You will join a team that values growth, collaboration, and continuous improvement, with support to develop your skills and progress your career.