
Data Engineer
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12 month fixed term contract opportunity
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Azure/Databricks focus
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Hybrid working for flexibility
About this role:
Join this growing Data Services team as a Senior Data Engineer, leading data migration projects and delivering high-quality data products on a modernised cloud-based data analytics platform. You'll play a pivotal role in designing and expanding data architecture, using cutting-edge technologies like Azure and Databricks.
Responsibilities:
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Lead data migration projects and drive strategic development of the data foundation
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Validate, standardise, and analyze data to ensure accuracy and quality
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Expand data platform capabilities by integrating new data sources
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Design and develop scalable data engineering assets and feature engineering frameworks
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Code, test, and document data models and ETL tools for robust data assets
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Implement process improvements, automation, and infrastructure optimizations
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Build data pipelines for faster, data-informed decision-making
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Develop ETL solutions using Python, Databricks, Spark, and Azure
Requirements:
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Proven experience in data engineering, solution design, and delivery
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Proficiency in cloud data analytics technologies: Databricks, Azure ADF
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Strong skills in MS Stack (SQL Server, SSIS, SSRS, SSAS, Power BI, SQL)
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Familiarity with MongoDB, graph databases, and programming languages (R, Python, Spark ETL SQL VStudio)
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Leadership experience managing data expert teams
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Agile mindset and ability to work independently
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Strong understanding of the data management lifecycle and data quality management
Benefits:
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Competitive salary
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Hybrid working options for flexibility
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Generous leave allowances and parental leave
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Equal Opportunities Employer
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Award-winning employer - ask for more information about their Employer Value Proposition
Does this sound like you?
Apply today!
