Data Engineer

At Mitie, our people are our greatest strength, and our purpose is driven by a belief that better places lead to thriving communities. We're looking for a Data Engineer to join our Group Operations Data Transformation Team, delivering scalable data solutions that support business performance and insight.

Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Python; Build and manage streaming data pipelines using Event Hubs and KQL for near real-time data ingestion; Transform and optimise data through bronze, silver, and gold layers within a modern Data Lakehouse architecture; Manage ingestion from diverse data sources including CAFM systems, finance, Salesforce, IoT, and HR systems; Work across Azure and Cloudera environments to deliver scalable data solutions; Ensure data integrity through embedded data quality checks across pipelines; Use Azure DevOps and CI/CD pipelines to manage deployment and lifecycle of data solutions; Maintain data governance standards, including data lineage, dictionaries, and documentation; Perform root cause analysis on data issues and collaborate with stakeholders to resolve upstream problems; Build large, complex datasets aligned to business requirements; Review and optimise SQL, Python, and KQL scripts for performance and scalability; Conduct performance analysis of pipelines and recommend improvements; Work closely with Analysts and BI Developers to deliver 'Gold Standard' datasets; Communicate technical concepts clearly to non-technical stakeholders

Requirements

Strong experience with Microsoft Fabric and the Azure Data Stack (ADF, Synapse, Data Lake); Advanced skills in Python, PySpark, and SQL; Experience building batch and streaming data pipelines; Experience with CI/CD, GitOps, and Azure DevOps; Proven experience (3+ years) in a Data Engineer role; Degree in Computer Science, Data Science, or related quantitative discipline; Strong analytical and problem-solving capability; Ability to interpret business requirements and translate them into technical solutions; Excellent communication skills with both technical and non-technical stakeholders; Self-motivated, organised, and able to work in a hybrid environment

Nice to have

Exposure to Kusto Query Language (KQL) and Event Hubs; Knowledge of big data platforms such as Cloudera/Hadoop

Benefits

Opportunity to work on enterprise-scale data transformation projects; Access to Mitie's Choices lifestyle benefits platform, including extra holidays, dental cover, and tech schemes; Virtual GP access for you and your household; Financial wellbeing support through Salary Finance; MiDeals discounts; Cycle-to-work scheme; Retail benefits; Life cover up to 4× salary; Enhanced pension contributions; Save-as-you-earn scheme; Opportunity to earn shares through the Mitie Matching Share Plan; Recognition through the Mitie Stars programme; Ongoing training, development, and career progression opportunities; Pension; Life Assurance; Private Healthcare; Employee Shares Schemes; Holiday