Data Engineer

Data Engineer 6-Month Contract Manchester - Initially 3-4 days per week in the office, reducing to 2 days per week over time. Up to £90 per hour - Inside IR35 (based on a 37.5-hour working week)

A global technology business is seeking an experienced Data Engineer to join a high-performing data team responsible for delivering a scalable, secure, and fully governed data platform. This is an exciting opportunity to work on large-scale systems and help modernise and optimise enterprise data solutions.

The Role

As a Data Engineer, you will play a key role in designing, building, and maintaining high-performance data pipelines and platforms.

You will contribute to replacing Legacy and ad-hoc solutions with modern, scalable architecture that enables high-quality data production and advanced analytics.

Senior-level engineers will also be expected to mentor others, provide architectural guidance, and promote engineering excellence across the team.

Key Responsibilities

Data Engineering & Platform Delivery

• Design, build, and maintain scalable, secure, and well-governed data pipelines
• Embed data governance, lineage, retention, monitoring, and alerting into pipelines
• Ensure high data quality across core datasets with end-to-end ownership
• Maintain data security, integrity, and compliance in line with best practices
• Contribute to architectural principles, non-functional requirements, and quality standards
• Write high-quality, well-tested code following CI/CD and Agile practices

Required Skills & Experience

• 5+ years' experience building big data pipelines in distributed environments
• Strong experience with Kafka, Hadoop, Spark and/or Python
• Strong experience with DBT and Snowflake
• Experience with Data Vault and dimensional data modelling
• Strong SQL skills and experience with enterprise data warehouse environments
• Experience embedding governance, monitoring, lineage, and security into data pipelines
• Experience working on large-scale, well-governed, compliant systems
• Solid understanding of CI/CD and Agile methodologies
• Strong knowledge of cloud platforms (AWS preferred; Azure experience beneficial)
• Understanding of cloud security best practices
• Exposure to observability tooling, MySQL, or SQL Server stack beneficial
• Good understanding of analytics and machine learning fundamentals
• Excellent written and verbal communication skills

• 5+ years' experience building big data pipelines in distributed environments
• Strong experience with Kafka, Hadoop, Spark and/or Python
• Strong experience with DBT and Snowflake
• Experience with Data Vault and dimensional data modelling
• Strong SQL skills and experience with enterprise data warehouse environments
• Experience embedding governance, monitoring, lineage, and security into data pipelines
• Experience working on large-scale, well-governed, compliant systems
• Solid understanding of CI/CD and Agile methodologies
• Strong knowledge of cloud platforms (AWS preferred; Azure experience beneficial)
• Understanding of cloud security best practices
• Exposure to observability tooling, MySQL, or SQL Server stack beneficial
• Good understanding of analytics and machine learning fundamentals
• Excellent written and verbal communication skills

6-Month Contract Manchester - Initially 3-4 days per week in the office, reducing to 2 days per week over time. Up to £90 per hour - Inside IR35 (based on a 37.5-hour working week)