Senior Data Engineer

You will own and evolve our data pipelines on GCP-building new ones, hardening existing ones, improving data quality, and making clean, trustworthy data available across the organisation. You will work end-to-end on streaming and batch pipelines, from CDC and event ingestion through transformation, serving, and the feature layer that powers our ML and AI products., * Design and build batch and streaming pipelines on Dataflow, Pub/Sub, and Kafka feeding BigQuery, Bigtable, and ClickHouse.

• Help drive the migration off Snowflake onto our GCP native stack and retire legacy pipelines.
• Own the orchestration layer in Airflow, including SLAs, retries, and data quality gates.
• Model data for analytics and for ML-including feature pipelines that serve both training and low-latency online inference.
• Partner with ML engineers on feature stores, drift monitoring and retraining workflows.
• Capture requirements from stakeholders and translate them into well-scoped data products.
• Continuously improve data quality, reliability, observability and cost efficiency.
• Identify new data sources worth acquiring and integrate them cleanly.

• Strong data modelling and warehouse architecture skills (dimensional modelling, event-driven, lakehouse patterns).
• Hands-on experience with GCP data services-BigQuery is a must; Pub/Sub, Dataflow, Bigtable, Cloud Composer are strong pluses.
• Production experience with streaming pipelines on Dataflow/Beam, Flink, or Spark Structured Streaming, ingesting from Kafka and/or Pub/Sub.
• Solid SQL and strong Python-production-quality code.
• Experience with ClickHouse or another columnar OLAP engine in production.
• Workflow orchestration experience with Airflow (or Prefect/Dagster).
• Comfortable with dbt or equivalent transformation frameworks.
• Experience migrating off legacy warehouses (Snowflake, Redshift, Synapse) onto cloud-native stacks.
• Working knowledge of ML in production-feature engineering, feature stores, model deployment, drift monitoring, retraining.
• Docker and Kubernetes experience.
• CI/CD mindset, infrastructure-as-code sensibility and a bias for simple, observable systems.
• Bonus: CDC tooling (Datastream, Debezium), Vertex AI / Feature Store.

• Private health care.
• Paid paternity leave.
• 25 annual leave days.
• Free lunch & snacks at the office.
• Ticket Restaurant by Edenred.
• Dedicated budget for training and professional development, participation in conferences.
• Full access to our lab offerings for learning how to hack.
• State-of-the-art equipment (Mac, iPhone, mobile plan).
• Flexible WFH (Hybrid Model) - fully remote also available if not in Athens.