Data Platform Engineer

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 Apply now for a confidential conversation.