Data Engineer
Posted 1 week ago by Maxwell Bond
£450 Per day
Outside
Hybrid
Manchester, Greater Manchester
Summary: The Data Engineer role involves building and evolving behavioral data products within a data-driven organization that serves media and market research clients. The position requires transforming raw data into structured datasets using Python and SQL, while ensuring data quality and documentation. The role follows a hybrid working model, requiring two days a week onsite in Manchester. This position is classified as outside IR35.
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
Salary (Rate): £450/day
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.
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
About You
You enjoy working close to data and solving how real-world behaviour translates into clean, reliable datasets.
Required 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
Nice to Have
- Experience with AWS data tools such as S3, Spark, Athena, or workflow orchestration tools
- Exposure to AI-assisted workflows
Why Join
You will join a team that values growth, collaboration, and continuous improvement, with support to develop your skills and progress your career.