At a Glance
- Tasks: Engineer data solutions using Microsoft Fabric and transform CRM data into actionable insights.
- Company: Join a global organisation leading a major data transformation across 15 countries.
- Benefits: Earn up to £65,000 with hybrid working and ongoing training in the Microsoft data ecosystem.
- Other info: Collaborative team environment with opportunities for continuous improvement and career growth.
- Why this job: Be part of a pivotal data transformation and influence how data drives business success.
- Qualifications: Strong SQL skills and hands-on experience with Microsoft Fabric and data pipelines.
The predicted salary is between 50000 - 50000 £ per year.
This is an exciting opportunity to join a well-established, international organisation operating across 15 countries and delivering over 1 million services each year. The business is well underway on a major data transformation, with Microsoft Fabric at the core of its data platform, with continued migration away from legacy systems.
With continued investment across Fabric, CRM (Dynamics 365), automation, this role offers a seat at the table to help shape how data is engineered, used, delivered across the organisation. You'll be joining at a pivotal stage-working in a Fabric-first environment, while still having meaningful input into how remaining legacy data is modernised, improved.
This role is ideal for a hands-on Data Engineer who values business context, wants to play a key role in turning CRM data into actionable insight.
- You will work with Microsoft Fabric (Lakehouses, Pipelines, Notebooks) in a live production environment
- Building, enhancing Data Factory pipelines as part of an ongoing migration into Fabric
- PySpark for data transformation, engineering within Fabric notebooks
- SQL queries, transformation logic within Fabric
- CRM data (Dynamics 365 / Dataverse), supporting integration, modelling, optimisation
- Business stakeholders to understand how CRM data is used, where gaps exist, how data solutions can improve outcomes
- Pipeline optimisation, data quality improvements, automation initiatives
Benefits
- Salary up to £65,000
- Hybrid working - just 1 day per week in the London office
- Hands-on exposure to Microsoft Fabric in a business actively investing in its data platform
- Opportunity to influence how CRM data supports the wider organisation
- Involvement in automation, continuous improvement initiatives
- Ongoing training, development in the Microsoft data ecosystem
- Supportive, collaborative data team with real influence
Key experience
- Strong SQL skills, including complex queries, transformations
- Hands-on experience with Microsoft Fabric
- Experience building, maintaining data pipelines (Data Factory / Fabric Pipelines)
- PySpark experience for data engineering, transformation
- Exposure to CRM data, understanding of how CRM supports business processes
- Ability to work with stakeholders to identify data gaps, translate requirements into practical solutions
- Comfortable working in environments that include both modern platforms, legacy systems
Interviews are already underway, so if interested, apply as soon as possible.
Senior Fabric Engineer in London employer: Tenth Revolution Group
Join a dynamic and innovative international organisation that prioritises employee growth and collaboration, offering a hybrid working model with just one day in the London office. As a Senior Fabric Engineer, you will be at the forefront of a major data transformation, gaining hands-on experience with Microsoft Fabric while contributing to meaningful projects that enhance CRM data utilisation across the business. With a strong focus on continuous improvement and automation, this role provides ample opportunities for professional development within a supportive team environment.
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We think you need these skills to ace Senior Fabric Engineer in London
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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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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.
