Инженер данных

Hack The Box is a Cyber Performance Center that provides a human-first platform for developing and maintaining high-performing cybersecurity individuals and organizations. Its platform combines upskilling, workforce development, assessment, recruitment, and solutions for cybersecurity domains.

• Design and build batch and streaming pipelines on Dataflow, Pub/Sub, and Kafka feeding BigQuery, Bigtable, and ClickHouse;
• Drive the migration from Snowflake to the GCP-native stack and retire shadow pipelines;
• Own the Airflow orchestration layer, 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 stakeholder requirements and translate them into pragmatic, well-scoped data products;
• Continuously improve data quality, reliability, observability, and cost efficiency;
• Identify valuable new data sources and integrate them cleanly;
• Build and evolve data pipelines on GCP;
• Design ELT/ETL processes on BigQuery and ClickHouse;
• Build real-time pipelines with Pub/Sub, Kafka, Dataflow, Flink, or Spark where appropriate;
• Ensure data is cleaned, modelled, and served for analytics, ML training, and online inference;
• Consume and build REST APIs;
• Integrate third-party SaaS sources;
• Treat infrastructure as code.

• Strong data modelling and warehouse architecture skills, including dimensional modelling, event-driven, and lakehouse patterns;
• Hands-on experience with GCP data services; BigQuery is required;
• 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;
• Production experience with ClickHouse or another columnar OLAP engine;
• Experience with Airflow, Prefect, or Dagster;
• Experience with dbt or equivalent transformation frameworks;
• Working knowledge of ML in production, including feature engineering, feature stores, model deployment, drift monitoring, and retraining;
• Experience with Docker and Kubernetes;
• CI/CD mindset and infrastructure-as-code sensibility;
• Nice to have: Pub/Sub, Dataflow, Bigtable, and Cloud Composer experience, migration from Snowflake, Redshift, or Synapse to cloud-native stacks, CDC tooling such as Datastream or Debezium, Vertex AI, Feature Store.

• Private health care;
• Paid paternity leave;
• 25 Annual leave days;
• Free lunch and snacks at the office;
• €120 Ticket Restaurant by Edenred;
• Dedicated budget for training and professional development, including conference participation;
• Full access to Hack The Box lab offerings;
• State-of-the-art equipment, including a Mac, iPhone, and mobile plan;
• Relocation support to Athens is available;
• Accommodation is provided during the first few weeks after relocation;
• A 10% relocation bonus on the annual salary is provided;
• A 50% income tax reduction is available as part of the relocation;
• Two job-related assignments are required as part of the selection process.