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
£ 50KJob 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