Senior Data Engineer (Microsoft Fabric)

Overview

We are seeking an experienced Senior Data Engineer (Microsoft Fabric) to join our Data & Analytics team and support a large-scale data modernisation programme. This strategic initiative focuses on migrating the organisations analytics platform from Oracle to Microsoft Fabric enabling scalable cloud-native analytics and reporting capabilities.

The successful candidate will be a highly hands-on engineer with deep expertise in Microsoft Fabric PySpark and SQL capable of designing and delivering enterprise-grade data solutions. Working within an Agile delivery environment you will contribute across multiple workstreams helping accelerate the migration modernisation and governance of critical data assets.

Key Responsibilities

• Design develop and deploy end-to-end data pipelines in Microsoft Fabric.
• Leverage Change Data Capture (CDC) and Fabric Mirroring capabilities to enable real-time data replication and unified analytics.
• Support the migration of semantic models and analytical workloads from Oracle to Microsoft Fabric.
• Build optimise and maintain scalable data integration and transformation solutions using PySpark and SQL.
• Develop and enhance metadata-driven ingestion and orchestration frameworks.
• Design and implement robust data models for analytics and reporting solutions.
• Perform data mirroring activities and support replication of source systems into Microsoft Fabric.
• Execute integration testing and support data quality validation across multiple environments.
• Contribute to the implementation of Microsoft Purview including:
  • Data scanning
  • Data cataloguing
  • Data governance enablement
• Collaborate with architects analysts developers and business stakeholders across the data modernisation programme.
• Support continuous improvement of platform performance scalability and operational efficiency.
• Work within Agile delivery teams contributing to sprint planning estimation and delivery activities.

Qualifications :

Essential Skills

• 6 years of Data Engineering experience delivering enterprise-scale data solutions.
• Strong hands-on experience with Microsoft Fabric including Lakehouse Data Warehouse Data Factory Notebooks Semantic Models and Fabric administration concepts.
• Excellent coding skills in PySpark and SQL with the ability to develop complex data transformations and optimise performance. This is a core requirement for the role.
• Proven experience designing developing and deploying end-to-end data pipelines.
• Experience implementing CDC (Change Data Capture) solutions and real-time or near real-time data processing architectures.
• Experience with Microsoft Fabric Mirroring and data replication technologies.
• Strong understanding of data modelling principles for analytics and reporting.
• Experience working with modern cloud-based data platforms including data warehouse and lakehouse architectures.
• Experience building scalable ETL/ELT frameworks and orchestration solutions.
• Strong understanding of data quality testing and validation practices.
• Experience working effectively within Agile delivery teams.

Desirable Skills

• Experience developing metadata-driven ingestion and orchestration frameworks.
• Experience working on large-scale data platform migration and modernisation programmes.
• Experience with Microsoft Purview including data scanning cataloguing lineage and governance.
• Experience with Oracle databases and Oracle-to-Fabric migration initiatives.
• Experience delivering enterprise reporting and analytics solutions.
• Experience working with Azure Data Platform technologies.
• Microsoft Fabric Azure Data Engineer or related Microsoft certifications.

Key Success Factors

• Strong problem-solving and analytical skills.
• Ability to operate effectively in a fast-paced delivery environment.
• Excellent stakeholder engagement and communication skills.
• Ability to collaborate across multiple teams and workstreams.
• Ability to balance competing priorities while maintaining delivery quality.
• Focus on building scalable maintainable and well-governed data solutions.
• Passion for modern data engineering practices and continuous improvement.

Additional Information :

Why Version 1 

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability. 

• Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectivelybenefitfrom a share of our companys profits 

• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme 

• Flexible/remote working Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance 

• Financial Wellbeing initiativesincluding;Pension Private Healthcare Cover Life Assurance Financialadviceand an Employee Discount scheme 

• Employee Wellbeing schemes including Gym Discounts Bike to Work Fitness classes Mindfulness Workshops Employee Assistance Programme and much more. Generous holiday allowance enhanced maternity/paternity leave marriage/civil partnership leave and special leave policies 

• Educationalassistance incentivised certifications and accreditations including AWS Microsoft Oracle and Red Hat 

• Reward schemes including Version 1s Annual Excellence Awards & Star Awards 

• Environment Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity inclusion and belonging schemes. 

And many more exciting benefits drop us a note to find out more. 

Version1 is an equal opportunities employer. 

We are committed to building a diverseinclusiveand respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds identities and lived experiences and we value the different perspectives people bring including those shaped by disability and neurodiversity. 

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process please contact your recruiter at Version 1. We will consider all requests carefullyrespectfullyand confidentially. 

Video links: 

#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time