Data Engineer
Posted 1 day ago by Maxwell Bond
£400 Per day
Outside
Onsite
Manchester, Greater Manchester
Summary: The role of Data Products Engineer involves supporting the development and evolution of behavioral data products within a data and analytics company. The position requires transforming raw signals into high-quality datasets using SQL, Python, and internal tools. The engineer will collaborate with various teams to ensure data quality and maintain documentation. This is a contract position based in Manchester for a duration of 6 months, classified as outside IR35.
Key Responsibilities:
- Design and evolve data product schemas and fields
- Turn product requirements into structured datasets
- Build and maintain data feeds using internal tools, SQL, and Python
- Monitor and improve data quality using checks and diagnostics
- Investigate issues across large datasets
- Work with Product, Data Engineering, Apps, and ML teams
- Maintain clear and up to date documentation
- Follow internal policies on security, quality, and health and safety
Key Skills:
- Strong SQL skills with large datasets
- Experience with Python or another data focused language
- High attention to detail
- Strong focus on data quality and validation
- Clear communication skills
- Willingness to use AI to improve output and speed
- Experience with behavioral or event level data (nice to have)
- Understanding of privacy and data governance (nice to have)
- Exposure to AWS tools such as S3, EMR or Spark, Athena, Airflow or Azkaban (nice to have)
Salary (Rate): £400/day
City: Manchester
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
My client are a data and analytics company who have delivered data driven insights to large global brands for over a decade.
They need a contract Data Products Engineer to support the development and evolution of behavioural data products.
6 months
Outside IR35
£400 per day
2 days a week in Manchester
The role
You work within the Data Products team. You turn raw signals from capture technologies into well defined, high quality datasets.
You use SQL, Python, and internal tooling, including AI assisted tools. You define schemas, apply business logic, enforce quality checks, and deliver client ready data feeds.
Key responsibilities
- Design and evolve data product schemas and fields
- Turn product requirements into structured datasets
- Build and maintain data feeds using internal tools, SQL, and Python
- Monitor and improve data quality using checks and diagnostics
- Investigate issues across large datasets
- Work with Product, Data Engineering, Apps, and ML teams
- Maintain clear and up to date documentation
- Follow internal policies on security, quality, and health and safety
About you
You enjoy working closely with data. You focus on representing real world digital behaviour in a clean and reliable way.
You need
- Strong SQL skills with large datasets
- Experience with Python or another data focused language
- High attention to detail
- Strong focus on data quality and validation
- Clear communication skills
- Willingness to use AI to improve output and speed
Nice to have
- Experience with behavioural or event level data
- Understanding of privacy and data governance
- Exposure to AWS tools such as S3, EMR or Spark, Athena, Airflow or Azkaban