Data Engineer

Matchtech · Bristol, England ·

Last confirmed by our partners on 17 Oct 2026.

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Overview

In this permanent role you design and maintain scalable Azure data platforms and build robust data pipelines. You will enable data-driven solutions across the business, collaborating with analysts and developers to ensure data quality and security. You’ll work on modern cloud data platforms at scale, shaping how data supports decision-making. This opportunity combines hands-on engineering with governance and deployment automation to drive impactful data solutions.

Pay / Benefits

  • permanent role
  • professional development
  • Microsoft Azure training opportunities
  • modern cloud data platforms
  • collaborative working environment

Responsibilities

  • Design, develop and maintain scalable data pipelines and integration solutions using Azure
  • Build and optimise ETL and ELT processes with Azure Data Factory, Databricks and Synapse Analytics
  • Manage and enhance data lakes, data warehouses and storage solutions (Azure Data Lake Storage)
  • Develop and optimise SQL queries, data models and database objects for performance and scalability
  • Ensure data quality, security, governance and compliance with organisational standards
  • Implement CI/CD practices and support deployment automation through Azure DevOps or GitHub
  • Monitor, troubleshoot and resolve data platform and pipeline issues
  • Collaborate with stakeholders, analysts and developers while maintaining documentation and data dictionaries

Key requirements

  • Experience in Data Engineering, database development or data integration with hands-on knowledge of Microsoft Azure data services
  • Strong experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics and Azure Data Lake Storage
  • Advanced SQL development and performance tuning (Azure SQL Database and SQL Server)
  • Proficiency in Python, PySpark, Scala and Spark for data processing
  • Understanding of data warehousing, dimensional modelling and ETL/ELT frameworks
  • Knowledge of data quality, governance, metadata management and data security principles
  • Experience with CI/CD pipelines using Azure DevOps or GitHub
  • Bachelors degree in related field; Azure certifications advantageous
  • Collaboration
  • Communication
  • Problem-solving
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
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