Senior Data Engineer

Senior Data Engineer

Posted 5 days ago by Queen Square Recruitment

Negotiable
Inside
Hybrid
Coventry, England, United Kingdom

Summary: The Senior Data Engineer role in Coventry involves designing, building, and maintaining scalable data platforms on Microsoft Azure. The position requires collaboration with cross-functional teams to develop secure and efficient data pipelines, while also establishing engineering standards and mentoring junior team members. The successful candidate will contribute to cloud data architecture initiatives and ensure high data quality. This is a 6-month contract position classified as inside IR35.

Key Responsibilities:

  • Design, build, and maintain scalable data platforms on Microsoft Azure.
  • Develop secure, reliable, and efficient data pipelines using Azure Synapse Analytics, Azure Data Factory, PySpark, and Azure Data Lake Storage.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Establish engineering standards and ensure high data quality.
  • Mentor junior team members.
  • Contribute to modern cloud data architecture initiatives.

Key Skills:

  • Bachelor’s degree in a STEM discipline.
  • 10+ years of experience in Data Engineering or related roles.
  • Strong expertise in Azure Synapse Analytics, Azure Data Factory, PySpark, and Azure Data Lake Storage.
  • Knowledge of SQL performance tuning and query optimization.
  • Understanding of data modelling and data warehousing concepts.
  • Experience building and orchestrating large-scale ETL/ELT workloads.
  • Hands-on experience with Delta Lake and notebook-based development.
  • Proficiency in SQL and Python.
  • Experience implementing CI/CD pipelines and Git branching strategies in Azure DevOps.
  • Understanding of data lifecycle management and modern data architectures.
  • Experience working within Agile/Scrum delivery environments.

Salary (Rate): undetermined

City: Coventry

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

New Exciting opportunity for Job Title: Senior Data Engineer

Location: Coventry (Hybrid – 3 Days Onsite)

Contract Type: 6 Months Contract

IR35 Status: Inside IR35

Role Overview

We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable and high-performance data platforms on Microsoft Azure . This role will focus on developing secure, reliable, and efficient data pipelines using Azure Synapse Analytics, Azure Data Factory, PySpark, and Azure Data Lake Storage (ADLS Gen2) . The successful candidate will collaborate with cross functional teams to translate business requirements into robust technical solutions that enable advanced analytics, reporting, and data-driven decision-making. The position also involves establishing engineering standards, ensuring high data quality, and mentoring junior team members while contributing to modern cloud data architecture initiatives.

Essential Skills & Experience

  • Minimum Bachelor’s degree in a STEM discipline (e.g., Computer Science, Engineering, Mathematics)
  • 10+ years of experience in Data Engineering or related roles
  • Strong expertise in: Azure Synapse Analytics (SQL Pools, Serverless SQL, Spark Pools)
  • Azure Data Factory (pipelines, triggers, linked services, integration runtime)
  • PySpark and distributed data processing
  • Azure Data Lake Storage (hierarchical namespace, folder design, ACLs, RBAC)
  • Strong knowledge of SQL performance tuning and query optimization
  • Solid understanding of data modelling and data warehousing concepts (Kimball / Inmon)
  • Experience building and orchestrating large-scale ETL / ELT workloads
  • Hands-on experience with Delta Lake and notebook-based development
  • Proficiency in SQL and Python
  • Experience implementing CI/CD pipelines and Git branching strategies in Azure DevOps
  • Strong understanding of data lifecycle management and modern data architectures
  • Experience working within Agile / Scrum delivery environments