

Maxwell Bondยฎ
Data Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Python) with a 6-month contract, paying outside IR35. It requires strong Python and SQL skills, experience with large datasets, and a focus on data quality. Work is hybrid, based in Manchester.
๐ - Country
United Kingdom
๐ฑ - Currency
ยฃ GBP
-
๐ฐ - Day rate
440
-
๐๏ธ - Date
April 11, 2026
๐ - Duration
More than 6 months
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๐๏ธ - Location
Hybrid
-
๐ - Contract
Outside IR35
-
๐ - Security
Unknown
-
๐ - Location detailed
Manchester Area, United Kingdom
-
๐ง - Skills detailed
#S3 (Amazon Simple Storage Service) #Data Quality #Athena #AI (Artificial Intelligence) #Data Engineering #REST (Representational State Transfer) #Spark (Apache Spark) #SQL (Structured Query Language) #Datasets #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Documentation #Python #Data Pipeline #AWS (Amazon Web Services)
Role description
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
โข Design and evolve data product schemas, translating requirements into well-structured datasets
โข Build and maintain data feeds using Python and SQL for transformation, validation, and delivery
โข Monitor and improve data quality through checks, diagnostics, and analysis of large datasets
โข Work with Product, Engineering, Apps, and ML teams to deliver new features and improvements
โข 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
โข Strong Python skills with experience writing production-quality data pipelines
โข Solid SQL skills with experience handling large datasets
โข Strong attention to detail with a focus on data quality and validation
โข Clear communicator who works well across teams
โข Comfortable using AI tools to improve productivity and learning
Nice to Have
โข Experience with AWS data tools such as S3, Spark, Athena, or workflow orchestration tools
โข 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.
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
โข Design and evolve data product schemas, translating requirements into well-structured datasets
โข Build and maintain data feeds using Python and SQL for transformation, validation, and delivery
โข Monitor and improve data quality through checks, diagnostics, and analysis of large datasets
โข Work with Product, Engineering, Apps, and ML teams to deliver new features and improvements
โข 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
โข Strong Python skills with experience writing production-quality data pipelines
โข Solid SQL skills with experience handling large datasets
โข Strong attention to detail with a focus on data quality and validation
โข Clear communicator who works well across teams
โข Comfortable using AI tools to improve productivity and learning
Nice to Have
โข Experience with AWS data tools such as S3, Spark, Athena, or workflow orchestration tools
โข 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.






