Data Engineer

Harnham; Birmingham; Hybrid; GBP 50,000 - 60,000; Full time

Benefits offered by this job

Hybrid working per week

Pension

Life assurance

Enhanced annual leave

Learning and development

Employee discounts

Job summary

Harnham is seeking a Data Engineer to join a purpose-driven UK organisation. You will design, develop and maintain scalable data solutions across the Azure data platform, delivering end-to-end pipelines from ingestion to reporting-ready datasets.

You'll work with Azure Data Factory, Azure Synapse, and Databricks, applying advanced SQL and Python to build robust data models, data governance, and security controls within an Agile delivery environment near Birmingham.

Qualifications

• Strong commercial experience building and managing ETL/ELT pipelines in production environments.

Responsibilities

• Designing and delivering end-to-end ETL/ELT pipelines from data ingestion through to reporting-ready datasets

Skills

ETL/ELT pipelines

Microsoft Fabric

Azure data technologies

SQL

Python

Git

CI/CD

Agile

Data governance

Databricks

PySpark

Delta Lake

dbt

regulated environments

Tools

Azure Data Factory

Azure SQL

Azure Data Lake Storage

Azure Synapse Analytics

Databricks

PySpark

Delta Lake

dbt

Git

CI/CD

Job description

This is an excellent opportunity for a Data Engineer to join a purpose-driven organisation where data plays a key role in improving services and supporting business decisions. You will have the chance to take ownership of end-to-end data engineering projects, work with modern Azure technologies, and contribute to the development of a growing data function.

The Company

Tech for good - They are a well-established UK organisation delivering essential services to communities nationwide. With a strong focus on innovation, operational excellence, and continuous improvement, they are investing in their data and analytics capabilities to drive better outcomes across the business.

Their collaborative culture encourages knowledge sharing, professional development, and the adoption of modern technologies. As part of their Data & Analytics team, you will have the opportunity to influence the direction of the data platform and make a tangible impact.

The Role

You will be responsible for designing, developing, and maintaining scalable data solutions across their Azure data platform.

Responsibilities include:

• Designing and delivering end-to-end ETL/ELT pipelines from data ingestion through to reporting-ready datasets
• Building and optimising data models, SQL transformations, and workflows to improve performance and reliability
• Managing data quality monitoring, alerting, and issue resolution processes
• Collaborating with stakeholders to translate business requirements into scalable technical solutions
• Enhancing and maintaining the Azure data platform across Azure Data Factory, Azure SQL, Azure Data Lake Storage, and Synapse Analytics
• Implementing security, governance, and compliance controls across data solutions
• Contributing to Agile delivery processes and working with internal and external stakeholders
• Producing clear technical documentation and supporting knowledge sharing across the team

Your Skills & Experience

• Strong commercial experience building and managing ETL/ELT pipelines in production environments
• Microsoft Fabric, including Lakehouses and Dataflows Gen2
• Hands-on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure SQL, Azure Data Lake Storage, and Azure Synapse Analytics
• Advanced SQL skills covering data modelling, transformation, and performance optimisation
• Experience using Python for scripting, automation, and data processing
• Understanding of Git, CI/CD practices, and Agile delivery methodologies
• Knowledge of data governance, data quality frameworks, and compliance standards
• Ability to manage technical delivery independently and communicate effectively with both technical and non-technical stakeholders
• Databricks, PySpark, Delta Lake, and workflow orchestration
• dbt for modular and tested data modelling
• Experience working within a regulated environment

What They Offer

• Salary of £50,000 - £60,000
• Hybrid working model with one day per week on-site near Birmingham
• Pension scheme and life assurance
• Enhanced annual leave entitlement plus additional wellbeing benefits
• Ongoing learning, training, and career development opportunities
• Family-friendly policies and wellbeing support
• Employee discounts and additional reward programmes
• Opportunities for progression within a growing data team