Lead Data Engineer
A leading role in the development of robust data platforms, ensuring seamless integration of business data.
The ideal candidate will design and oversee a unified data architecture, collaborate with stakeholders to align technical solutions with business goals, and ensure compliance with relevant regulations.
* Develop and maintain efficient data pipelines and infrastructure-as-code
* Collaborate with cross-functional teams to drive strategic initiatives
* Implement data governance frameworks to ensure high-quality data
Key Responsibilities:
The successful candidate will have 7+ years of experience as a Lead Data Engineer or in a similar lead/senior data engineering role, with strong expertise in Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Data Factory, and Cosmos DB.
Requirements:
* 7+ years of experience as a Lead Data Engineer or in a similar lead/senior data engineering role
* Strong expertise in Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Data Factory, and Cosmos DB
* Proficiency in SQL and familiarity with data transformation frameworks (PySpark, T-SQL)
* Solid understanding of data governance, data quality, and compliance (GDPR, ISO, etc.)
This is a fantastic opportunity for a skilled Lead Data Engineer to make a tangible impact on the company's data strategy and enable advanced analytics, AI, and business intelligence initiatives.