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Data Engineer - 12 month fixed term contract

Mitie -
Birmingham

Apply Now

Job details

Full-time | Fixed term contract
5 days ago

Benefits

Company pension

Qualifications

Azure
Computer Science
Big data
SQL
Analysis skills
Data pipeline
Root cause analysis
Business requirements
Communication skills
Python
Hadoop

Full job description

Join Mitie – the future of high performing places.

ROLE: Data Engineer
LOCATION: Birmingham (Hybrid – travel to Birmingham, Bristol, London, or Manchester as required)
CONTRACT: 12‑Month Fixed Term Contract (40 hours per week)

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.

Role Responsibilities

Platform & Pipeline Development

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.

Data Quality & Governance

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.

Collaboration & Optimisation

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.

Required Qualifications

Applicants must meet the below defined requirements for the role.

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.
Exposure to Kusto Query Language (KQL) and Event Hubs (desirable).
Experience with CI/CD, GitOps, and Azure DevOps.
Knowledge of big data platforms such as Cloudera/Hadoop (desirable).
Proven experience (3+ years) in a Data Engineer role.
Degree in Computer Science, Data Science, or related quantitative discipline.

Key Skills

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.

What's in it for you?

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, and retail benefits.
Life cover up to 4× salary, enhanced pension contributions, and 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.

There's a place for you at Mitie — join us today!

Apply Now

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Data Engineer - 12 month fixed term contract

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Join Mitie – the future of high performing places.

Role Responsibilities

Platform & Pipeline Development

Data Quality & Governance

Collaboration & Optimisation

Required Qualifications

Key Skills

What's in it for you?

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