Data Engineer – Manage Team - Job Advertisement

Summary: The role of Data Engineer – Senior Professional 1 focuses on designing and delivering modern data products while collaborating with domain teams and cross-functional stakeholders. Its primary objective is to manage the entire lifecycle of data products independently.

Responsibilities:

• Build Data Products: Collaborate with domain teams to create source-aligned data products for various analytical applications.

• Work According to Standards: Follow existing data contracts, modeling patterns, and CI/CD processes, while contributing to best practices.

• Enable Domain Teams: Facilitate ownership transfer, conduct pair programming, and ensure structured knowledge sharing.

• Professional Operations: Manage lifecycle processes such as data quality, governance, lineage, and cost control for owned products.

Key Requirements:

• 2–5 years of experience in Data Engineering.
• Experience delivering pipelines and data products on AWS, Snowflake, dbt, Azure, Witboost, and Dreamio.
• Strong proficiency in dbt and ELT/ETL practices.
• Experience with CI/CD and automated testing in data environments.
• Strong understanding of data governance and reusable patterns.

Nice to Have:

• Experience in Data Mesh environments.
• Knowledge of DataOps principles in production environments.
• Strong collaboration skills in distributed teams.

Other Details:

• Location: Nearshore within EU
• Interview Format: Remote
• Duration: As per assignment
• Language Requirement: Fluent in English