Data Engineer: Real‑Time Data Platform Builder

your Jared

Poland

Remote

PLN 112,000 - 201,000

Full time

14 days+

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Benefits offered by this job

Worksmile platform

Job summary

The Codest, an international tech software company with tech hubs in Poland, is building a data platform powering a real-time DSP. We seek a Junior or Mid-level data engineer to own pipeline components, drive architectural decisions, and collaborate across teams.

You will work on streaming pipelines with Apache Beam/Dataflow, Pub/Sub, and BigQuery; design dbt models across layers; own attribution pipelines; and build audience activation workflows in Airflow.

Qualifications

  • Minimum 1+ or 3+ years building production data pipelines at scale.
  • Strong SQL (BigQuery preferred) and Python.
  • Hands-on dbt experience with incremental models, tests, and CDC/SCD patterns.
  • Experience with distributed stream processing (Apache Beam/Dataflow) and Pub/Sub.
  • Familiarity with NoSQL stores (Couchbase/MongoDB) and Airflow or similar orchestrators.

Responsibilities

  • Build and maintain Apache Beam/Dataflow streaming pipelines from Pub/Sub to BigQuery.
  • Design and implement dbt models across staging, warehouse, and marts layers.
  • Own the attribution pipeline with time-decay scoring and dimension hierarchies.
  • Develop audience activation pipelines in Airflow + dbt and integrate with ID graphs.
  • Contribute to infra and CI/CD, Terraform, and architecture documentation.

Skills

BigQuery
Python
dbt
Apache Beam
SQL
Airflow
Docker
Pub/Sub
Couchbase
Terraform

Tools

BigQuery
Pub/Sub
Terraform
Docker
Kubernetes
Go

Job description

The Codest, an international tech software company with tech hubs in Poland, is building a data platform powering a real-time DSP. We seek a Junior or Mid-level data engineer to own pipeline components, drive architectural decisions, and collaborate across teams.

You will work on streaming pipelines with Apache Beam/Dataflow, Pub/Sub, and BigQuery; design dbt models across layers; own attribution pipelines; and build audience activation workflows in Airflow.

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