Data Analytics Engineer

Applause IT
Birmingham, United Kingdom
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 50K

Job location

Birmingham, United Kingdom

Tech stack

Information Engineering
Data Governance
Data Integration
ETL
Microsoft SQL Server
Power BI
Scripting (Bash/Python/Go/Ruby)
Sql Optimization
Microsoft Fabric
Data Analytics

Job description

This is a hybrid role combining Power BI development, data engineering, SQL development, and stakeholder engagement, making it ideal for someone who enjoys delivering end-to-end analytics solutions., * Design, develop, and maintain Power BI reports, dashboards, and semantic models

  • Build engaging, intuitive dashboards tailored to business requirements
  • Develop DAX measures and optimise reporting performance
  • Create and maintain SQL-based data pipelines and reporting datasets
  • Transform and model complex data for scalable analytics solutions
  • Ensure data accuracy, consistency, governance, and reporting reliability
  • Maintain clear documentation around data lineage and reporting definitions
  • Collaborate with stakeholders across Finance, HR, Operations, and wider business teams
  • Support users with reporting insights and interpretation of data

Requirements

  • Proven experience as a Data Analytics Engineer, BI Engineer, Data Engineer, or Power BI Developer
  • Strong Power BI development experience
  • Advanced SQL / SQL Server skills
  • Strong understanding of data modelling and transformation
  • Experience building reporting datasets and scalable analytics solutions
  • Strong analytical and problem-solving skills
  • Ability to work independently and collaboratively in a fast-paced environment

Desirable Skills

  • Microsoft Fabric experience
  • Databricks or Snowflake exposure
  • ETL / data integration tool experience
  • API integration experience
  • Python scripting / automation knowledge
  • Experience working with complex or regulated datasets
  • Understanding of data governance frameworks

Benefits & conditions

  • Hybrid working
  • Competitive salary package
  • Opportunity to work on modern data and reporting projects
  • Exposure to enterprise-scale analytics environments
  • Collaborative team culture
  • Strong long-term career development opportunities

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