Job Description
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!