At a Glance
- Tasks: Design and maintain ETL/ELT pipelines using Microsoft Fabric and Python.
- Company: Join Mitie, a leader in creating thriving communities.
- Benefits: Enjoy hybrid working, career development, and a supportive team culture.
- Other info: Flexible environment with opportunities for continuous improvement.
- Why this job: Work on innovative data projects that drive real change.
- Qualifications: Expert SQL and Python skills with experience in data governance.
The predicted salary is between 50000 - 65000 £ per year.
Better places, thriving communities
ROLE: Data Engineer
HOURS: 40 hours per week
LOCATION: 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.
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
Required Qualifications
- 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
Benefits
- 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
Data Engineer employer: Mitie Group plc.
At Mitie, we pride ourselves on fostering a supportive and innovative work environment where our employees can truly thrive. As a Data Engineer, you'll have the opportunity to work on cutting-edge data transformation projects while enjoying a hybrid working model that promotes flexibility and work-life balance. With a strong emphasis on career development and a collaborative team culture, Mitie is committed to helping you grow your skills and advance your career in a meaningful way.
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We think this is how you could land Data Engineer
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Mitie Group plc.
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
