At a Glance
- Tasks: Design and develop impactful Power BI reports and robust data infrastructure.
- Company: Join a large UK organisation with a growing data and analytics team.
- Benefits: Enjoy hybrid working, competitive salary, and strong career development opportunities.
- Other info: Collaborative culture with exposure to modern data projects.
- Why this job: Make a real impact by delivering end-to-end analytics solutions across multiple teams.
- Qualifications: Experience in Power BI, SQL, and data engineering is essential.
The predicted salary is between 40000 - 50000 £ per year.
A fantastic opportunity has opened for an experienced Data Analytics Engineer to join a growing data and analytics team within a large UK organisation. This role is ideal for a technically strong Data Analytics Engineer who enjoys both building impactful Power BI reporting solutions and developing the robust data infrastructure behind them.
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.
The Opportunity
As a Data Analytics Engineer, you will play a key role in developing business-critical reporting and analytics capabilities across multiple operational teams. You'll design scalable reporting solutions, improve data quality, and help stakeholders make informed, data-driven decisions.
Key Responsibilities
- 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
Skills & Experience Required
Essential Skills
- 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
What's On Offer?
- 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
Why Apply?
This is an excellent opportunity for a Data Analytics Engineer who wants to take ownership of impactful analytics projects while working across both reporting and data engineering disciplines.
If you're looking for your next Data Analytics Engineer opportunity, click apply now.
Data Analytics Engineer in Birmingham employer: Applause IT Recruitment Ltd
Join a dynamic and innovative team as a Data Analytics Engineer in a large UK organisation that values collaboration and employee growth. With a competitive salary and hybrid working options, you'll have the chance to work on cutting-edge data projects while enjoying a supportive work culture that fosters professional development and meaningful contributions to business success.
Contact Details:
Applause IT Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI reports and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics questions and scenarios. Practice explaining your past projects and how you've tackled challenges in data engineering and reporting.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Analytics Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Power BI, SQL, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for someone who can think critically and deliver effective solutions, so don’t hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Applause IT Recruitment Ltd
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and SQL. Brush up on your DAX measures and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical skills with real examples will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data analytics and how you overcame them. Think of scenarios where you improved data quality or optimised reporting performance, as this will highlight your analytical mindset and ability to deliver solutions.
✨Engage with Stakeholders
Since this role involves collaboration with various teams, be ready to talk about your experience working with stakeholders. Share examples of how you’ve tailored dashboards to meet business requirements and how you’ve supported users in interpreting data insights.
✨Understand the Business Context
Research the company and its operations before the interview. Understanding their industry and how data analytics can drive their success will help you tailor your responses and show that you’re genuinely interested in contributing to their goals.
