Data Engineer

Data Engineer - Azure or AWS with Databricks - London (Hybrid) - £75,000 + benefits

We're partnering with a high-performing organisation that continues to invest heavily in its data capability. Over the last 24 months, the business has achieved 33% growth in its data team, reinforcing data as a core driver of its long-term strategy.

As part of this expansion, they're hiring a Data Engineer to help design, build and optimise modern cloud data platforms. This role is open to engineers with experience in Azure or AWS, provided they bring strong hands-on expertise with Databricks.

You'll join a collaborative, forward-thinking environment where data engineering best practice, scalability and platform reliability are front and centre.

What You'll Be Doing

• Designing and building end-to-end data pipelines using Databricks on Azure or AWS
• Developing modern lakehouse architectures using:
  • Databricks (Spark, SQL, Delta Lake)
  • Azure Data Lake Storage or Amazon S3
• Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling
• Implementing Bronze / Silver / Gold data layers
• Embedding data quality, validation and monitoring within pipelines
• Supporting analytics and BI teams with trusted, well-structured datasets
• Contributing to CI/CD pipelines and version-controlled deployments
• Working closely with stakeholders in a consultative, delivery-focused environment

What We're Looking For

• 5+ years' experience in Data Engineering roles
• Strong experience working with Azure or AWS cloud platforms
• Commercial, hands-on experience using Databricks in production
• Proven capability across:
  • PySpark / Python / SQL
  • Cloud data storage (ADLS or S3)
  • ETL / ELT pipeline development
• Solid understanding of data architecture, modelling, and governance
• Experience building scalable, reliable pipelines in enterprise environments

Nice to Have

• Background in high-growth or scaling data teams
• Experience in financial services or large, global data estates
• Azure, AWS, or Databricks certifications
• Exposure to platform governance, lineage, or standardisation initiatives

Why Apply?

• Join a company that has delivered 33% growth in its data team
• Work on modern Databricks-led platforms
• Opportunity to influence architecture and engineering standards
• Clear progression within a growing, well-funded data function
• Hybrid working and a strong, collaborative engineering culture

Interested?

Apply now or get in touch to learn more about the role!