At a Glance
- Tasks: Design and optimise data pipelines using Azure Databricks and Power BI.
- Company: Join a leading financial services business with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a chance to influence technical decisions.
- Why this job: Make an impact by improving data solutions and mentoring colleagues.
- Qualifications: Experience with Azure Databricks, Power BI, and strong problem-solving skills.
The predicted salary is between 54000 - 66000 £ per year.
An opportunity has arisen for an experienced Staff BI & Data Engineer to join a financial services business, helping to develop and improve its data engineering and reporting capabilities. We're looking for someone with strong hands-on experience in Azure Databricks, Unity Catalog and Power BI who can take ownership of technical delivery while understanding the commercial and operational needs behind the data. You'll work across the full data lifecycle, from ingestion and transformation through to semantic modelling and reporting. The focus is on building dependable data solutions, improving existing processes and delivering insights that stakeholders can trust. This is a hands-on role with scope to influence technical decisions, introduce better ways of working and support the development of colleagues. You'll need to be comfortable investigating complex problems, challenging existing approaches and taking responsibility for delivering solutions.
What you'll be doing:
- Design, develop and optimise data pipelines using Azure Databricks, PySpark, SQL, ADF and ADLS Gen2.
- Build and maintain governed lakehouse solutions using Delta Lake, medallion architecture and Unity Catalog.
- Develop and enhance Power BI semantic models, DAX measures and row-level security.
- Work with business stakeholders to define meaningful KPIs across marketing, customer acquisition and contact-centre operations.
- Improve existing data processes, addressing performance, reliability, data quality and maintainability.
- Take ownership of technical challenges, evaluating options and recommending practical solutions.
- Promote good engineering practices through testing, documentation, version control and CI/CD.
- Share technical knowledge, mentor colleagues and contribute to engineering standards.
What we're looking for:
- Proven production experience with Azure Databricks, PySpark and Delta Lake, including hands-on Unity Catalog governance, access controls and permissions management.
- Strong Power BI development skills, including semantic modelling, DAX, RLS and performance tuning.
- Advanced SQL skills and experience working with Azure data services.
- Experience delivering reporting or analytics solutions within performance marketing and/or contact-centre environments.
- An understanding of commercial and operational KPIs such as conversion rates, acquisition costs, campaign performance, agent productivity and service levels.
- A track record of independently owning data engineering and BI solutions end to end, making technical decisions, resolving complex problems and driving improvements.
- Strong problem-solving skills and the confidence to make technical decisions independently.
- The ability to communicate effectively with both technical and non-technical stakeholders.
- Exposure to Microsoft Fabric would be advantageous.
For more information about this opportunity, please apply with your CV.
Staff BI Data Engineer | Databricks & Power BI in Reading employer: Datatech Analytics
Datatech Analytics is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that fosters collaboration and innovation. As a Trading Operations Graduate Analyst, you will benefit from comprehensive training and mentorship, ensuring your professional growth while working alongside industry experts in a fast-paced environment. With a commitment to employee well-being and a focus on meaningful contributions to global trading operations, Datatech Analytics provides a rewarding career path for ambitious graduates.
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We think you need these skills to ace Staff BI Data Engineer | Databricks & Power BI in Reading
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
