Salary: Hybrid working I Great benefits I Career growth
The company:
Our client is an established technology company with a strong pipeline of exciting projects, creating growing demand for experienced Data Engineers with strong Databricks capability.
They’re looking for an experienced
Data Engineers who want to put their Databricks expertise to work while gaining exposure to a broader modern data stack, including Microsoft Fabric and Azure.
This is a hands-on role where you’ll work on interesting, complex data projects, backed by experienced architects and consultants around you.
Why this role? If
Databricks is your sweet spot, this is an opportunity to put that experience to work across a variety of customer environments whilst working across Fabric, Azure and the wider modern data ecosystem.
You won’t be pigeonholed into one project or one customer. You’ll get exposure to different industries, technical challenges, and data environments, with the opportunity to take ownership of your work and have a genuine say in how solutions are designed and delivered.
What you'll be doing - Designing and building modern data platforms across Databricks, Microsoft Fabric and Azure
- Developing data pipelines, transformation and modelling solutions using Python, SQL and Spark/PySpark
- Working with lakehouse and medallion architectures across complex customer environments
- Taking ownership of technical workstreams and working directly with customers, architects and other engineers
- Contributing to engineering standards and best practice while supporting and mentoring others in the team
What we're looking for - 3+ years strong commercial Data Engineering experience with hands-on Databricks expertise
- Strong Python and SQL, with experience building ETL/ELT pipelines and data models
- Experience working with lakehouse architecture and modern cloud data platforms
- Good knowledge of Azure and/or Microsoft Fabric.
- Strong communication skills and the ability to work confidently with technical and non-technical stakeholders
- Experience with Spark/PySpark, dbt, Power BI, Snowflake, Purview, CI/CD, Terraform or Bicep would be useful.
Why you'll want this You’ll get variety, modern technology, and the opportunity to work on meaningful data projects without giving up the hands-on engineering you enjoy.
There’s also plenty of room to grow. Whether you want to deepen your Databricks expertise, broaden into Fabric, take on more solution design or move towards Principal/technical leadership over time, there’s scope to shape that progression.
You'll be joining a collaborative team with hybrid working, experienced people to learn from and the backing of an established business.
If you're a Data Engineer with strong Databricks experience and you're curious about what else is out there, I'd love to have a confidential conversation.
Please apply via the link with your updated CV, or reach out to Rachael Tobeck for a confidential chat.
#SCR-rachael-tobeck