IT & Software

Data Engineer

Hays

London · Greater London · United Kingdom

Overview

You will design, build, and optimise the enterprise data platform to turn raw data into actionable insights for strategic decision-making. You’ll work with business stakeholders, technical teams, and partners to support data-driven decisions and transform the data estate. This role sits at the core of a data transformation and modernisation journey, influencing architecture and reporting capabilities. You’ll engage across cloud environments and BI solutions to scale data solutions that unlock business value. Join a collaborative, growth-focused team shaping the future of data at scale.

Pay / Benefits
  • competitive salary package
  • generous private healthcare
  • excellent pension
  • hybrid working model
  • opportunity to influence data function direction
  • exposure to modern cloud technologies and large-scale data projects
Responsibilities
  • Design and develop data pipelines, ETL processes, and data integrations
  • Build and maintain data warehouse solutions and data repositories
  • Develop robust data models, including fact and dimension tables
  • Manage data quality, governance, lineage, and security
  • Create and enhance reporting and BI solutions, including Power BI
  • Support cloud-based data environments on Azure and AWS
  • Collaborate with stakeholders to translate requirements into scalable technical solutions
  • Contribute to evolving data strategy and architecture
  • Support platform migrations and continuous improvement initiatives
Key requirements
  • 5+ years in data engineering or similar data-focused role
  • Strong SQL skills, including T-SQL
  • Proven ETL experience with SSIS
  • Scripting experience (Python or PowerShell)
  • Knowledge of data modelling, warehousing, and dimensional modelling
  • Experience with Azure and/or AWS
  • Knowledge of Agile SDLC
  • Experience designing scalable, secure, high-performing data solutions
  • Excellent communication with technical and non-technical stakeholders
  • Experience with Fabric, Databricks, Snowflake, DevOps, data migration, or financial services environments is advantageous
  • excellent communication
  • stakeholder engagement
  • collaboration
  • SQL / T-SQL
  • SSIS
  • Python or PowerShell

Reference: WJ-747_30150095

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