Requirements

• 5+ years experience in Data Engineering, Data Platform Engineering, or Software Engineering working with data
• Strong SQL expertise, particularly in complex analytical and warehouse queries
• Proficiency in Python and/or Java
• Experience with Data Warehouses such as Snowflake or Apache Iceberg
• Practical knowledge deploying and operating containerised workloads using Docker and Kubernetes
• Knowledge of streaming tooling (Kafka, Kafka Connect, Flink, etc.)
• Experience with ETL/ELT tooling (dbt, Airflow, Airbyte, dlt, etc.)
• Hands-on experience provisioning and managing cloud infrastructure with Terraform
• Experience with CI/CD pipelines, automated testing, and Git-based development workflows
• Familiarity with observability practices including logging, metrics, alerting, and production troubleshooting
• Strong grasp of software engineering principles and best practices
• Experience contributing to or leading data warehouse architecture or redesign initiatives
• Ability to collaborate effectively with technical and non-technical stakeholders
• Strong experience with data warehousing, dimensional modelling, and data architecture

What You'll Be Doing

• Designing and evolving the architecture of the data infrastructure
• Maintaining the existing data platform
• Ensuring the reliability of data ingestion pipelines
• Sharing learnings within the Data Engineering team and across Teya
• Guaranteeing proper data governance while avoiding excessive bureaucracy
• Improving data reliability, quality, and observability across key datasets
• Building, maintaining, and improving data models for large and complex datasets with simple lifecycles
• Designing and optimizing ETL/ELT pipelines to support scalable analytics and data products
• Collaborating with data analysts, analytics engineering, and engineering teams to implement reliable production solutions
• Participating in the team's on-call rotation, investigating production incidents, and driving improvements
• Engaging in technical discussions and code reviews to uphold maintainable designs and engineering standards
• Creating and maintaining clear technical documentation and operational runbooks