Senior Data Engineer (Tech/FMCG)

About the role

A recruiter is representing its client in search of multiple Junior and Senior Data Engineers to design, build and maintain reliable data pipelines, models and data products that support business analytics and applications. The role turns raw data into high-quality, well-structured and trusted datasets, working closely with platform, analytics, product and engineering teams in a fast-paced, global environment.

Key responsibilities

• Design, develop and maintain batch and streaming data pipelines and models for analytics and business applications.
• Implement data cleansing, standardization, incremental processing, reconciliation and dataset publishing.
• Develop automated tests and data quality checks, monitoring timeliness, completeness, accuracy and consistency.
• Work with business stakeholders, analytics, product and engineering teams to understand data requirements and set clear data definitions.
• Take part in code reviews, deployments, production troubleshooting, data backfills and pipeline improvements.
• Maintain technical documentation, data contracts and operational runbooks.

Required profile

• Bachelor's degree or above in Computer Science, Data Science or a related field, or equivalent practical experience.
• At least 3 years of experience in data engineering, analytics engineering, data warehousing or a related discipline.
• Nice to have: experience with commerce, advertising, order, user or consumer datasets; familiarity with cloud-based data platforms and distributed engineering teams.

Required skills

• Strong SQL skills and hands-on experience building and maintaining data pipelines in Python.
• Understanding of data warehouse modelling, incremental processing, workflow orchestration and data quality management.
• Nice to have: Databricks, Apache Spark, dbt, Airflow.