Data Platform Engineer - #2166845

Data Platform Engineer

Manchester || Hybrid

£55,000 - £65,000

Azure | Databricks | SQL

We are seeking a Data Platform Engineer to help build and evolve a modern cloud data platform, delivering reliable, scalable and high-quality data solutions across a growing organisation.

This role is ideal for an engineer who enjoys solving complex data challenges, building production-ready pipelines and working with modern Microsoft Azure technologies to turn raw data into trusted, business-ready information.

As a Data Platform Engineer, you will play a key role in designing, building and optimising data pipelines that underpin reporting, analytics and evidence-based decision-making.

Key responsibilities:

• Building and maintaining data pipelines using Azure Data Factory and Databricks.
• Working with SQL and PySpark to transform and model data.
• Improving pipeline performance, reliability and cost.
• Making sure data is accurate, reliable and fit for purpose.
• Using Git and CI/CD to manage and deploy changes.
• Working with BI, analytics and business teams to deliver useful datasets.
• Supporting data quality, documentation and governance.

About you:

• Hands-on experience building and maintaining production-grade ETL/ELT pipelines.
• Strong SQL skills and a good understanding of data modelling principles.
• Experience with Azure Data Factory, Databricks and PySpark.
• Familiarity with Azure cloud services and modern data platform architectures.
• Experience with Git, CI/CD and version control within an engineering environment.
• An understanding of data quality, testing, monitoring and production support.
• Comfortable collaborating with technical and non-technical stakeholders.
• A proactive, delivery-focused mindset with a strong emphasis on engineering quality and continuous improvement.

Why This Role?

• Work with modern cloud data technologies across a growing data platform.
• Build scalable, production-ready solutions that support real business decisions.
• Take ownership of data engineering challenges from development through to deployment.
• Collaborate with BI, analytics, governance and data product teams.
• Help improve engineering standards, data quality and platform reliability.
• Make a tangible impact by enabling better insights and more effective decision-making

If you're a Data Engineer who enjoys building reliable pipelines, working with Azure and Databricks, and creating data solutions that people can genuinely trust and use, we'd love to hear from you.

Apply now for a confidential conversation.