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