We are seeking a Senior Data Engineer to design, build, and optimize modern data solutions that support scalable analytics, reliable operations, and high-quality insights. The ideal candidate brings strong technical skills, business awareness, and the ability to collaborate across teams to deliver enterprise-grade data platforms.
Key Responsibilities
- Design and implement robust, scalable data pipelines and processing frameworks (ETL/ELT)
- Ensure data quality, governance, lineage, and lifecycle management across data assets
- Translate business and analytical requirements into technical solutions
- Develop and optimize data workflows using Python, SQL, Spark, Airflow or similar tools
- Contribute to data modeling (dimensional, Data Vault) and efficient data-structure design
- Collaborate with cross-functional teams on architectural decisions and technical roadmap
- Work with cloud platforms (Azure, AWS, GCP) and distributed data systems (Snowflake, BigQuery, Synapse)
- Document solutions, support platform improvements, and ensure compliance with standards
Qualifications
- Proven experience in modern data engineering
- Strong knowledge of data architecture, governance, and pipeline design
- Hands-on experience with cloud-based data technologies
- Solid programming skills in Python and SQL
- Experience with data modeling methodologies
- Strong communication and stakeholder-management skills
- Fluency in English
