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Data Engineer

G-NIUS
Reading
4 weeks ago
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Data Engineers – Permanent Opportunity

Based in Reading: 1-2 days per week

A major UK organization is expanding their Data Engineering team to drive forward their ambitious data platform transformation initiative.

Are you an experienced Data Engineer ready to tackle complex data challenges at scale? This established organization is building their next-generation Enterprise Data Platform and needs skilled professionals to accelerate their journey toward becoming a data-centric organisation.

About Our Client

Our client operates critical infrastructure serving millions of customers across the UK. They’re investing significantly in modernizing their data capabilities, creating a centralized data lakehouse architecture that will transform how they leverage information across the business. Join their Digital Data division during this exciting period of growth and innovation.

Your Role as Data Engineer

  • Design and implement robust data pipelines using Azure Data Factory to integrate operational systems with analytical platforms
  • Analyze business data requirements and create comprehensive documentation following established protocols
  • Transform legacy manual processes into automated, scalable data workflows
  • Partner with data architects and analytics teams to identify critical data needs for business insights
  • Resolve complex integration challenges involving diverse database systems and unstructured datasets
  • Support stakeholders across Data Science and Business Intelligence functions with reliable data delivery
  • Help establish and maintain enterprise-wide data governance standards

Core Technical Requirements of the Data Engineer

  • Azure Data Factory mastery– demonstrable expertise in pipeline development and management
  • Proficient SQL and/or Python capabilities– minimum 2-3 years hands-on experience
  • Comprehensive Data Engineering background– proven track record in enterprise data solutions
  • Experience withETL processes and data transformation, preferably usingDatabricks
  • Strong foundation inData Warehousing architectures and dimensional modeling
  • Familiarity with batch processing from relational database sources

Communication & Collaboration Skills of the Data Engineer

  • Outstanding stakeholder engagement abilities across technical and business audiences
  • Strong relationship-building skills with experience managing diverse internal customers
  • Demonstrated success working within cross-functional project teams

Additional Valuable Experience

  • Microsoft Azure Data Engineering certifications (MCSA or equivalent)
  • Azure Fundamentals knowledge and certification
  • Exposure to industry standards frameworks (ISO certifications, ITIL practices)
  • Previous experience in regulated industries or similar sectors

Compensation & Benefits Package

  • Attractive salary reaching £70,000 based on experience
  • Annual performance bonus opportunity (up to 10% of base salary)
  • Flexible hybrid model – 2 office days weekly (Thursday being core collaboration day) based in Reading
  • Holiday entitlement starting at 26 days, progressing to 30 days with tenure
  • Comprehensive pension arrangement and extensive benefits portfolio


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