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Tech Stack
Tools & technologiesAirflowAzureCloudETLPySparkPythonSQLSSISVault
About the role
Key responsibilities & impact- Design, develop, and maintain data pipelines to ensure efficient and reliable data processing
- Implement and optimize data models, data storage, and data integration solutions
- Perform data profiling, data cleansing, and data transformation activities
- Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner
Requirements
What you’ll need- Proficiency in programming languages with a focus on data analytics (ideally Python & PySpark)
- Minimum 3 years of professional development experience in SQL, ETL & DW
- Expertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0)
- Practical knowledge with a Cloud Platform (e.g. Azure, Databricks)
- Solid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI)
- Experience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster)
- Familiar with Git or other version control tools
- A degree in Computer Science or related field
Benefits
Comp & perks- Competitive compensation aligned with your experience and skills
- Annual bonus scheme linked to company performance
- Private medical, dental, and life insurance coverage
- Ongoing professional development through training and certifications
- Structured mentoring to support your growth and advancement