Senior Data Engineer — Remote: GCP Pipelines & ML

Hack The Box

Województwo mazowieckie

Hybrid

PLN 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Private health care
Paid paternity leave
25 annual leave days
Free lunch & snacks at the office
Work-from-home flexibility
Dedicated budget for training and professional development

Job summary

Hack The Box seeks a data engineer to own and evolve data pipelines on GCP. You will design and build batch and streaming pipelines using tools like BigQuery and Pub/Sub, implement robust data quality measures, and collaborate with ML engineers. Required qualifications include strength in data modelling, SQL, and Python. Other benefits include private health care, paid leave, and flexible hybrid working options.

Qualifications

  • Strong data modelling and warehouse architecture skills including dimensional modelling.
  • Hands-on experience with GCP data services: BigQuery is a must, other tools are a plus.
  • Production experience with streaming pipelines and good SQL and Python skills.

Responsibilities

  • Design and build batch and streaming pipelines on Dataflow and BigQuery.
  • Help drive the migration off legacy systems onto GCP-native stack.
  • Own the orchestration layer in Airflow and improve data quality.

Skills

Data modelling and warehouse architecture skills
Hands-on experience with GCP data services
Production experience with streaming pipelines
Proficient in SQL
Strong Python skills
Workflow orchestration experience with Airflow
Familiarity with dbt or equivalent frameworks
Experience with Docker and Kubernetes

Tools

GCP
BigQuery
Kafka
Dataflow
ClickHouse

Job description

Hack The Box seeks a data engineer to own and evolve data pipelines on GCP. You will design and build batch and streaming pipelines using tools like BigQuery and Pub/Sub, implement robust data quality measures, and collaborate with ML engineers. Required qualifications include strength in data modelling, SQL, and Python. Other benefits include private health care, paid leave, and flexible hybrid working options.
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