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!