> Markdown version of [/jobs/ext/4054331-microsoft-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4054331-microsoft-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Microsoft Senior Data Engineer - **Company:** Accenture - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Migration, Data Warehousing, Python (Programming Language), Microsoft Data Access Components, Standard Sql, Azure Data Lake, SQL Databases, Data Processing, Azure Data Factory, Microsoft Fabric, Data Lakes, Pyspark, Cloud Migration, Data Pipelines, Databricks - **Published:** October 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=28f0dbc9ac0ebf25 ## About the Role * Experience of data engineering experience with strong Microsoft data technology expertise. * Strong hands-on experience with Azure Data Factory, Microsoft Fabric, Databricks and/or Synapse. * Strong SQL, Python and/or PySpark skills. * Experience with Azure Data Lake/OneLake, data modelling and ETL/ELT. * Understanding of data governance, security and enterprise data architecture. * Proven experience managing technical delivery and engineering teams. * Strong Agile, stakeholder-management and client-facing skills. * Relevant Microsoft Azure/Fabric certifications are desirable * Excellent communication and collaboration skills. ## Description * Design and develop scalable data solutions using Microsoft Azure and Microsoft Fabric. * Build data pipelines and ETL/ELT solutions using Azure Data Factory, Databricks and/or Synapse. * Develop data processing solutions using SQL, Python and PySpark. * Design and optimise data lakes, lakehouses, data warehouses and data integration solutions. * Apply data quality, governance, security and performance best practices. * Lead data migration, modernisation and cloud transformation initiatives. * Manage delivery including planning, estimation, scope, risks, dependencies, quality and timelines. * Lead and mentor Data Engineers and technical teams. * Collaborate with architects, clients and business stakeholders to translate requirements into technical solutions. * Drive Agile delivery, technical governance and production readiness