Data Engineer

G's Group
Ely
6 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Join to apply for the Data Engineer role at G's Group

Are you passionate about building reliable, high-quality data solutions that power business decisions? Do you thrive on solving data challenges, optimising pipelines, and collaborating with stakeholders to deliver meaningful insights? If so, this role could be the perfect fit for you.

Overview

We’re looking for a Data Engineer to join our UK Data team and play a key role in shaping the future of our data services. You’ll work on a mix of strategic projects and BAU operations — from maintaining and optimising Azure Data Factory (ADF) and SQL Server Reporting Services (SSRS) solutions, to supporting our migration to AWS and delivering the UK Data Roadmap.

Responsibilities
  • Maintain and optimise ADF pipelines and SSRS reporting solutions.
  • Design, implement, and manage ETL processes to ensure accuracy, quality, and consistency.
  • Support the migration of data services to AWS, enabling scalable, cloud-first solutions.
  • Deliver the UK Data Roadmap, aligning our data infrastructure with business strategy.
  • Apply governance, security, and compliance best practices across the data landscape.
  • Monitor daily data loads, ETL workflows, and reporting jobs to keep things running smoothly.
  • Troubleshoot and resolve pipeline failures, reporting errors, and performance bottlenecks.
  • Validate and reconcile data, ensuring accuracy for business users.
  • Provide user support across SSRS, Power BI, and other BI tools.
  • Drive continuous improvement by identifying root causes of recurring issues.
Qualifications
  • Strong experience with AWS data services (Redshift, S3, Lambda) - nice to have.
  • Hands-on experience with Azure Data Factory (ADF), SSRS, and SQL Server databases.
  • Solid understanding of ETL design, data quality frameworks, and pipeline management.
  • Proficiency in SQL and star schema data modelling.
  • Familiarity with Power BI and data warehousing methodologies.
  • Excellent communication skills - able to explain technical concepts to non-technical audiences.
  • A collaborative, problem-solving mindset with the ability to work across teams and stakeholders.
Why join us?
  • 31 Days holiday per year including bank holidays.
  • 40 hours per week Monday to Friday
  • Great Place to Work accredited.
  • Salary sacrifice pension scheme available
  • Cinema and Sky Store discounts
  • Supermarket & other retailer discounts
  • Health Cash Plan
  • Holiday discounts
  • Life assurance & income protection
  • Employee referral scheme
  • Employee Assistant Programme
  • Cycle to Work
  • Eyecare contributions
  • Electric car salary sacrifice scheme.
  • Learning, development, and training opportunities including mentoring.
  • Regular social and charity events
  • Engagement in local community & early careers events
  • Onsite health checks, & annual flu jabs
  • Regular wellbeing sessions
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology

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