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Senior Data Engineer

Datatech

Birmingham

Hybrid

GBP 55,000 - 65,000

Full time

Today
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Job summary

A leading recruitment agency in the UK is seeking a Senior Data Engineer in Birmingham. This hybrid role involves designing innovative data solutions within the Azure ecosystem, collaborating with stakeholders, and mentoring junior team members. Key requirements include proficiency in Azure Data Factory, Azure SQL, and Power BI. This is an excellent opportunity for someone looking to make a significant impact in a data-driven environment.

Qualifications

  • Strong proficiency in Azure Data Factory and Azure SQL is essential.
  • Expertise in Power BI with a focus on user-friendly visualizations.
  • Deep understanding of data warehouse design principles.
  • Experience in managing and translating senior stakeholder needs.
  • Excellent attention to detail and analytical skills.

Responsibilities

  • Design and develop end-to-end Power BI dashboards and data solutions.
  • Collaborate with technical teams and business stakeholders to implement BI products.
  • Translate business requirements into technical solutions using Agile.
  • Build and maintain scalable data models and architecture.
  • Drive self-service analytics using the data warehouse.

Skills

Azure Data Factory
Azure SQL
Power BI
Data visualization
Data warehouse design
Agile methodologies
Analytical skills
Communication skills

Education

Degree in a relevant field

Tools

Azure DevOps
Job description
Overview

Senior Data Engineer — Birmingham — Hybrid (1 day per week in the office)

Salary: 55,000 - 65,000 (Dependent on Experience)

Job Ref: J12976

An innovative, growth-focused organisation that is actively expanding its data capabilities seeks a Senior Data Engineer to play a pivotal role in shaping and delivering strategic data solutions that power smarter decision-making across the business. This is more than just building dashboards; you will be architecting scalable, innovative data solutions within the Azure ecosystem, collaborating with senior stakeholders, and contributing to a data-driven culture.

Key Responsibilities
  • Design, develop, and deliver end-to-end Power BI dashboards and data solutions in the Azure Cloud
  • Work closely with both technical teams and business stakeholders to bring BI products to life
  • Translate business requirements into actionable and efficient technical solutions using Agile methodologies
  • Build and maintain robust, scalable data models and data architecture
  • Utilise the data warehouse to drive self-service analytics and business insight
  • Ensure compliance with data governance, security, and regulatory standards (e.g., GDPR)
  • Mentor junior team members and promote a culture of data excellence
  • Continuously identify opportunities for improving data quality, reliability, automation, and reusability
Experience & Skills Required
  • Proven proficiency in Azure Data Factory and Azure SQL (essential)
  • Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation
  • Solid understanding of data warehouse design including planning and development
  • Experience managing senior stakeholders and translating their needs into technical solutions
  • Strong analytical skills and attention to detail
  • Clear, effective written and verbal communication skills
  • Proven experience working in Agile environments as well as Azure DevOps
  • A degree in a relevant field or equivalent professional experience
Additional Information
  • Hybrid working: Only 1 day per week required in the Birmingham office
  • You must have the right to work in the UK - sponsorship is not available now or in the future
  • Ready to take the next step in your career? This is a great opportunity to lead end-to-end data development and collaborate across technical and non-technical teams while making a real, measurable impact.
  • Apply today to find out more.
  • Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
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