Senior Data Engineer

Hack The Box is the leading cyber readiness platform for the agentic era, battle-testing and upskilling both humans and AI agents to enhance organizational cyber resilience. Trusted by the Fortune 500, government agencies, and MSSPs, the platform delivers threat-informed learning paths consisting of real-world scenarios in gamified labs and live-fire simulations that build and validate offensive and defensive cyber capabilities. With a loyal community of more than 4 million members and 800+ enterprise customers, Hack The Box empowers teams and intelligent systems alike to strengthen cyber defenses and reduce breach risk effectively.

Delivering continuous learning alongside industry-recognized certifications and certificate programs aligned with major workforce frameworks such as ENISA ECSF and NIST NICE, Hack The Box demonstrates external validation through recognized accreditation and role-based qualification recognition, including its ANAB-accredited HTB Defense Operations Analyst (DOA) certificate program and HTB CPTS, accepted for FedRAMP 3PAO penetration tester personnel.

Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.

• Strong data modelling and warehouse architecture skills (dimensional modelling, event-driven, lakehouse patterns)
• Hands-on experience with GCP data services, especially BigQuery; 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 skills with 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 is a plus
• Working knowledge of ML in production including feature engineering, feature stores, model deployment, drift monitoring, retraining
• Docker and Kubernetes experience
• CI/CD mindset, infrastructure-as-code sensibility, and preference for simple, observable systems
• Bonus: CDC tooling (Datastream, Debezium), Vertex AI / Feature Store

• 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 the GCP-native stack and retire shadow pipelines
• Own the orchestration layer in Airflow, including SLAs, retries, and data quality gates
• Model data for analytics and ML, including feature pipelines for 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 pragmatic, well-scoped data products
• Continuously improve data quality, reliability, observability, and cost efficiency
• Identify new data sources worth acquiring and integrate them cleanly

Candidates based within 55 km of the Athens office will follow a hybrid work model; candidates beyond that radius may work fully remote. Benefits package may vary depending on location and type of employment (e.g., UK, Greece, or engagement through an Employer of Record). Hack The Box is committed to diversity, inclusion, and equitable workplace practices and does not discriminate on various grounds.