Sr. Data Engineer

We are seeking an experienced Senior Data Engineer to join our client's team responsible for building and maintaining data engineering solutions that enable efficient data distribution and accessibility across the organisation.

This role involves designing robust data models, developing data warehouses, and applying strong data engineering principles to create scalable and efficient systems. You’ll collaborate closely with cross-functional teams, communicate technical concepts clearly, and work with cutting-edge data technologies to advance both your technical and professional growth.

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• Design, build, and maintain data pipelines and solutions for large-scale data processing and distribution.
  
• Work with cloud database platforms (e.g. Azure SQL Database, Snowflake) or on-premise systems.
  
• Develop and maintain data models and data warehouse structures.
  
• Collaborate with stakeholders, including product owners, delivery managers, and solution architects.
  
• Optimise database performance and design efficient business intelligence solutions.
  
• Plan and execute data migration strategies from on-premise environments to cloud platforms.
  
• Ensure compliance with data governance, GDPR, and data security standards, including data masking and auditing access.
  
• Apply DataOps principles to automate deployments, testing, and pipeline optimisation.
  
• Produce clear technical documentation and design proposals.
  

Essential:

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• Strong experience with cloud and/or on-prem database platforms.
  
• Proficiency with Azure Data Factory (ADF) or similar tools.
  
• Expertise in data modelling and data warehouse design.
  
• Demonstrated ability to work with multiple stakeholders.
  
• Experience in performance tuning and relational database design.
  
• Familiarity with DataOps practices and automation.
  
• Understanding of data security, masking policies, and GDPR compliance.
  

Desirable:

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• Experience with Talend.
  
• Experience with SAP BusinessObjects Data Services (BODS).
  

Working Model: Hybrid – 2 days per week in the office