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Data Engineer - FCP EURO
Data Engineer
Design, build, and maintain end‑to‑end data pipelines using modern data‑stack tools such as Airflow, Snowflake, dbt, and Kafka, delivering reliable, actionable data for analytics and product teams.
About the role
Key Responsibilities
- Architect and implement scalable data pipelines for ingestion, transformation, and loading across cloud and on‑premise sources.
- Develop and maintain data models and warehouses using Snowflake and dbt, ensuring data quality and performance.
- Orchestrate workflows with Apache Airflow, monitoring jobs and handling failures proactively.
- Integrate streaming data via Kafka to support real‑time analytics and operational use cases.
- Collaborate with analytics, product, and engineering teams to define data requirements and deliver actionable insights.
- Implement best practices for data governance, security, and cost optimization on AWS.
Requirements
- 3+ years of hands‑on experience building data pipelines using Python, SQL, and modern orchestration tools (Airflow, Prefect, etc.).
- Proficiency with cloud data warehouses (Snowflake, Redshift, BigQuery) and transformation frameworks (dbt).
- Experience with streaming platforms such as Kafka or Kinesis.
- Strong understanding of AWS services (S3, EC2, Lambda, IAM) and infrastructure‑as‑code concepts.
- Ability to work cross‑functionally, translate business needs into technical solutions, and communicate complex data concepts clearly.
Skills
pythonsqlsnowflakedbtkafkaaws