Azure Data Engineer

VIQU Ltd
Birmingham, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 48K

Job location

Birmingham, United Kingdom

Tech stack

Azure
Cloud Computing
Code Review
Databases
Continuous Integration
Information Engineering
Data Governance
Data Systems
SQL Databases
Azure
Delivery Pipeline
Data Management
Data Pipelines
Databricks

Job description

  • Build and support robust ELT data pipelines using Azure-based technologies and SQL
  • Develop structured data models aligned to modern data platform patterns
  • Ensure data solutions meet performance, security, quality, and reliability standards
  • Contribute to agile delivery, code reviews, and continuous improvement of engineering practices
  • Collaborate with stakeholders and technical teams to translate business needs into data solutions

Technologies:

  • Azure
  • CI/CD
  • Cloud
  • Databricks
  • Support
  • SQL
  • Security, We are looking for a Data Engineer to join our growing digital and data function supporting a modern, cloud-based data platform in a hybrid working environment, requiring 2 to 3 days per week onsite in London. This role focuses on building reliable, secure, and scalable data solutions that enable analytics, operational reporting, and data-driven decision making across our organisation. We offer a collaborative team atmosphere where your insights and contributions can lead to continuous improvement of data platforms and engineering standards.

Requirements

  • Hands-on experience with Azure Data Factory, Databricks, and SQL-based databases
  • Strong understanding of data engineering principles, including ELT and data modelling
  • Experience working with CI/CD pipelines, automation, and testing
  • Knowledge of data governance, access control, and platform standards
  • Excellent communication and collaboration skills
  • Familiarity with modern data architectures such as Medallion patterns and metadata tools

Apply for this position