Data Engineer

Data Engineer

Posted 1 week ago by Digital Skills Ltd

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£90 Per hour
Inside
Hybrid
Manchester/Remote, UK
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Agile Methodology Amazon Web Services (AWS) Apache Hadoop Apache Kafka Apache Spark Big Data Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Governance Data Quality Data Security Data Vault Modeling Data Warehousing Embedding File Servers Machine Learning Microsoft Azure Microsoft SQL Servers MySQL SQL (Programming Language)

Summary: The Data Engineer role is a 6-month contract position based in Manchester, requiring an experienced professional to join a high-performing data team. The position involves designing, building, and maintaining scalable data pipelines and platforms while ensuring data governance and quality. Senior-level engineers will also mentor team members and provide architectural guidance. The role offers a hybrid working arrangement, initially requiring 3-4 days in the office, reducing to 2-3 days over time.

Key Responsibilities:

  • 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

Key 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

Salary (Rate): £90 per hour

City: Manchester

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Data Engineer
6-Month Contract
Manchester - Initially 3-4 days per week in the office, reducing to 2-3 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
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