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Version 1

Senior Data Engineer (Microsoft Fabric)

Version 1 is hiring a Senior Data Engineer (Microsoft Fabric) in Dublin, Ireland. Level rates it ; you can apply on Version 1.

Level's read on this job

  • On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
  • The posting allows some remote work.
  • Tools and skills the posting cites include Anthropic, Microsoft Fabric and PySpark.
  • Level lists 148 other open roles at Version 1.
  • The role was posted in the last few days.

AI in this role

Design and build end-to-end data pipelines and data models during a large-scale cloud analytics migration to Microsoft Fabric.

AnthropicMicrosoft FabricPySparkSQLOracleAWSSnowflake
data-engineeringetldata-migrationdata-modelingagile

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of what we do:

  • UK & Ireland's premier AWS, Microsoft & Oracle partner

  • 3300+ strong, €350/£300m revenue business

  • 10+ years as a Great Place to Work in Ireland & UK

  • Best Workplace for Women in the UK & Ireland by GPTW

  • Best Workplace for Wellbeing in the UK by GPTW

We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!.

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 organisation's 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.

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.

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 collectively benefit from a share of our company's 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 people’s individual circumstances and offer flexibility to help achieve a healthy work life balance

  • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and 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

  • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat

  • Reward schemes including Version 1’s 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.

Version 1 is an equal opportunities employer.

We are committed to building a diverse, inclusive and 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 ekta.bahl@version1.com at Version 1. We will consider all requests carefully, respectfully and confidentially.

Video links:

https://www.youtube.com/watch?v=F_d3ELTH5zo

#LI-EB1 #LI-Hybrid

How we rate this

Senior Data Engineer (Microsoft Fabric) at Version 1 rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData MigrationData ModelingAgileAnthropicMicrosoft FabricPySpark

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$148k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data migration was part of your work. What did you do?
  4. Tell me about a project where data modeling was part of your work. What did you do?
  5. Tell me about a project where agile was part of your work. What did you do?

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  • List these exact terms on your resume: Data Engineering, ETL, Data Migration, Data Modeling, and Agile. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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