Posted on: 08/04/2026
Description :
Your role will be varied and evolve as quickly as you can learn and develop.
Your initial duties will involve :
- Design, build, and test scalable data platform solutions in Azure, leveraging tools like ADF, Databricks, and Function Apps, using Python.
- Develop high-quality data products, ensuring efficiency, reliability, and performance across our data pipelines.
- Collaborate closely with product and marketing teams to deliver data-driven insights and solutions that provide high business value.
- Write clean, maintainable code following best practices and development frameworks, ensuring robust data engineering standards.
- Continuously improve and optimize data workflows, monitoring performance and implementing enhancements to drive innovation.
Requirements :
You will have experience with the following :
- Experience in designing, building, and testing solutions within a data lakehouse environment.
- Proficiency in Python and PySpark for data processing and analytics.
- Hands-on experience with Azure, preferably ADF, Databricks, and Function Apps.
- Familiarity with CI/CD pipelines using Azure DevOps or similar tools.
- Ability to work within established development frameworks and adhere to coding standards.
- Excellent communication skills, with an ability to articulate blockers and timelines to non-technical stakeholders.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1627032