Senior Data Engineer (Microsoft Fabric)
Senior Data Engineer (Microsoft Fabric)
Location: Leeds, West Yorkshire (2 days onsite per week)
Exalto Consulting is supporting a major organisation undergoing significant data and digital transformation. We are looking for a Senior Data Engineer with strong experience in Microsoft Fabric to help shape and deliver reliable, scalable data products.
Do you enjoy building dependable data pipelines? Want to work with a modern Fabric platform and influence engineering standards? Looking for a role with real impact rather than endless firefighting?
You will design, build and maintain ETL and ELT pipelines, lakehouse structures and semantic models using Microsoft Fabric’s Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across hybrid on‑prem and cloud environments.
You’ll collaborate closely with data architects, analysts and domain teams, supporting decentralised data products and helping embed best practice across data quality, lineage, observability and compliance.
What you’ll be doing
What we’re looking for
Essential
Location: Leeds, West Yorkshire (2 days onsite per week)
Exalto Consulting is supporting a major organisation undergoing significant data and digital transformation. We are looking for a Senior Data Engineer with strong experience in Microsoft Fabric to help shape and deliver reliable, scalable data products.
Do you enjoy building dependable data pipelines? Want to work with a modern Fabric platform and influence engineering standards? Looking for a role with real impact rather than endless firefighting?
You will design, build and maintain ETL and ELT pipelines, lakehouse structures and semantic models using Microsoft Fabric’s Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across hybrid on‑prem and cloud environments.
You’ll collaborate closely with data architects, analysts and domain teams, supporting decentralised data products and helping embed best practice across data quality, lineage, observability and compliance.
What you’ll be doing
- Building end‑to‑end data pipelines and Fabric‑based lakehouse solutions.
- Creating semantic layers using star schema modelling and DAX.
- Embedding monitoring, lineage and data quality into pipelines.
- Integrating data from APIs, CRM/ERP systems and other third‑party sources.
- Ensuring secure, compliant data handling aligned with GDPR and ISO 27001.
- Supporting CI/CD deployment of version‑controlled artefacts.
What we’re looking for
Essential
- Strong experience designing and operating scalable ETL/ELT pipelines.
- Hands‑on Microsoft Fabric experience (Dataflows Gen2, Notebooks, semantic models).
- SQL and Python proficiency, with Spark/Spark SQL exposure.
- Practical understanding of data quality, observability and troubleshooting.
- Ability to explain technical concepts clearly and collaborate across teams.
- CI/CD experience.
- High‑volume or real‑time data environments.
- Data cataloguing tools (e.g. Purview).
- Data mesh, AI/ML, or sustainability‑focused data practices.
- A modern Microsoft Fabric environment with real organisational investment.
- The opportunity to shape data engineering standards and reusable components.
- Varied, meaningful work across analytics, AI and operational data needs.
- A collaborative culture that values continuous improvement and learning.
- Support for ongoing development, including DP‑700 certification.