Data Engineer
Role details
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Job description
ROLE: Data EngineerHOURS: 40 hours per weekLOCATION: Hybrid working with occasional visits to one of our offices in Birmingham, Bristol, London or Manchester
At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We're looking for a forward-thinking Data Engineer to join our Group Operations Data Transformation Team, supporting and enhancing our Microsoft Fabric platform while driving data quality, governance and transformation across the business.
Role Responsibilities:* Design, develop and maintain robust ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory and Python* Manage the ingestion of raw data from multiple sources including CAFM, Finance Systems, Salesforce, IoT and HR systems into the Data Lakehouse* Implement automated SQL and Python processes to identify, monitor and resolve data quality issues at source* Maintain Data Governance standards including data dictionaries, lineage and schematics, ensuring data integrity and audit readiness* Collaborate with Analysts, BI Developers, Information Systems and architecture teams to deliver scalable, future-proofed data solutions and optimise system performance
Requirements
Required Qualifications: applicants must meet the below defined requirements for the role.* Expert-level SQL skills combined with strong Python experience, including data manipulation using Pandas and PySpark* Experience working with Microsoft Fabric and Azure Data Stack technologies including Azure Data Factory, Synapse and Data Lake* Proven experience delivering ETL/ELT projects, data modelling and implementing Data Governance controls* Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, with a minimum of 3 years' experience in a Data Engineering role* Strong communication, analytical and problem-solving skills with the ability to explain technical issues in a business-focused way
What's in it for you?* Opportunity to work on innovative data transformation projects using modern cloud and AI-driven technologies* Hybrid working environment with flexibility and career development opportunities* Supportive team culture within an industry-leading organisation focused on continuous improvement and innovation