Senior Data Engineer

About the role

We are looking for an experienced Senior Data Engineer to join our data team. The ideal candidate will design, build, and maintain scalable data pipelines and architectures that support business intelligence, analytics, and data‑driven decision‑making.

Key responsibilities

• Design, develop, and maintain robust and scalable data pipelines (ETL/ELT).
• Build and optimize data architectures and data models.
• Ensure high data quality, integrity, and reliability across systems.
• Collaborate with data analysts, data scientists, and other stakeholders.
• Optimize data processing workflows for performance and scalability.
• Implement and enforce data governance and security best practices.
• Troubleshoot and resolve data‑related issues.
• Contribute to continuous improvement of data engineering standards and processes.

Required profile

• Proven experience as a Data Engineer, with significant experience in a senior role.
• Strong proficiency in Python, SQL, and data processing frameworks such as Spark.
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP).
• Experience with data warehousing solutions (Redshift, BigQuery, Snowflake).
• Solid understanding of data modeling and database design.
• Experience building and maintaining large‑scale data pipelines.
• Familiarity with orchestration tools like Airflow.
• Strong problem‑solving skills and attention to detail.

Required skills

• Python
• SQL
• Apache Spark
• AWS, Azure, GCP
• Redshift, BigQuery, Snowflake
• Data modeling
• Airflow