About the position
6 month contract role Drive enterprise-scale datatransformation and shape the future of analytics. Is this you? What you'll be doing (and why you'll enjoy it) Where you'll be doing it What you'll need What you'll get How to apply
You're a strategic thinker with a passion for turning complex data into actionable insights. You thrive on solving technical challenges, champion data quality, and enjoy leading projects that span cloud, on-premises, and hybrid environments. Collaboration comes naturally to you, and you're equally comfortable mentoring colleagues as you are developing innovative solutions.
In this role, you'll lead the design, development, and optimisation of robust Azure-based data solutions. You'll create and extend data models, apply business and technical rules within ETL pipelines, and ensure seamless data integration across multiple platforms. Your work will involve building pipelines in Azure Data Factory and Databricks, enhancing data quality through validation and enrichment, and troubleshooting complex issues. You'll collaborate closely with analytics teams and stakeholders to deliver high-impact solutions that drive business decisions.
You'll join a forward-thinking leader in digital transformation, renowned for delivering cutting-edge technology solutions to enterprise clients. The organisation is committed to innovation, operational excellence, and fostering a collaborative, knowledge-sharing culture. They have a strong track record in driving impactful projects and supporting professional growth for their teams.
A degree-level qualification and at least 10 years' experience in large-scale enterprise data integration. You'll have deep expertise in Azure Data Factory, Databricks, Synapse, and Pentaho, along with strong skills in SQL, Python, and PySpark. Experience with Git, Azure DevOps, CI/CD pipelines, and a solid understanding of data modelling, warehousing, and governance are essential.
A competitive salary package plus the chance to work on high-profile, complex projects in a supportive, innovative environment that values your expertise and offers room for professional advancement.
For a confidential discussion please contact Judy Engelbrecht on [Phone Number Removed]; or send your CV to [Email Address Removed]. We appreciate that your CV might not be fully up to date. No problem, just send us what you have. We do respond to everyone! Just give us a few days to work through your application.
Desired Skills:
- 10 years data engineering
- Azure Data Factory
- Databricks
- Synapse
- Pentaho
- SQL
- Python
- PySpark
- Git
- Azure DevOps
- CI/CD Pipelines
Desired Work Experience:
- 5 to 10 years
Desired Qualification Level:
- Degree