Data Engineer L2
Core
Building scalable data platforms, ensuring data reliability and governance, and enabling analytics consumption for enterprise reporting and decision-making.
Role type
Senior Data Engineer (Data Governance & Quality)
Builds
Scalable batch and real-time data pipelines, optimized data models, and governed data assets.
Domain
Enterprise Data Engineering / Data Management in Climate Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, relational databases, Snowflake, Oracle, Azure Data Services, Python, Java, ETL/ELT tools, data modeling, warehousing, data governance frameworks, data quality monitoring, metadata management, data catalog tools
Preferred skills
Kafka, Spark, real-time processing, data privacy and compliance frameworks, BI tools
Technologies
Snowflake, Oracle, Azure, ADF, Purview, Collibra, Alation, Power BI, Sigma
Responsibilities
Design and build scalable data pipelines (batch and real-time); Develop and optimize data models and transformation logic; Implement and enforce data governance standards including classification, lineage, and access controls; Define and monitor data quality rules, validations, and issue resolution processes; Enable business users with trusted and well-documented datasets; Identify and resolve data and pipeline issues proactively
Seniority
Senior, hands-on IC
