Senior Data Engineer GCP (M/K)

Experis

Polska

Hybrid

PLN 200,000 - 340,000

Full time

6 hours ago
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Benefits offered by this job

Medical package
Sport subsidy
Lunch subsidy
Life insurance

Job summary

Experis seeks a Senior Data Engineer GCP to join a data-centric team in Poland. You will build data pipelines in dbt and orchestrate workloads with Airflow/Cloud Composer, developing Python and PySpark components, and shaping the Gold/Platinum medallion layers in BigQuery.

You will optimize BigQuery costs, implement robust CI/CD with GitHub Actions, manage Terraform, and uphold data security (IAM, RBAC/ABAC, DLP) while contributing to Data Governance and data lineage across a Hub & Spoke model.

Qualifications

  • 5+ years in Data Engineering with hands-on GCP experience.
  • Proficient with BigQuery data modeling, partitioning, clustering, and cost optimization.
  • Hands-on with dbt, Airflow/Cloud Composer, Python and PySpark.
  • Strong SQL skills and experience with Terraform.
  • CI/CD using GitHub Actions and monitoring pipelines.

Responsibilities

  • Build and maintain data pipelines using dbt and Airflow/Cloud Composer.
  • Develop data processing components in Python and PySpark.
  • Design the Gold/Platinum medallion layers of the BigQuery data lake.
  • Optimize BigQuery performance and costs via partitioning and clustering.
  • Build CI/CD pipelines with GitHub Actions and IaC with Terraform.
  • Implement data security models: IAM, policy tags, DLP.
  • Contribute to Data Governance, including Dataplex, metadata, and lineage.
  • Conduct code reviews and define engineering standards.
  • Provide technical guidance within Hub & Spoke model on GCP.

Skills

BigQuery
dbt
Apache Airflow
Python
PySpark
SQL
Terraform
GitHub Actions
Data security on GCP
IAM / RBAC / ABAC

Education

Google Professional Data Engineer certification

Tools

Cloud Composer
Dataproc
Pub/Sub

Job description

For our client we are looking for candidates for the position of Senior Data Engineer GCP (M/K).

What You’ll Do:
  • Build and maintain data pipelines using dbt and orchestrate workflows with Apache Airflow / Cloud Composer
  • Develop data processing components in Python and PySpark
  • Design and develop the Gold and Platinum layers of the medallion architecture in BigQuery
  • Optimize BigQuery performance and costs through partitioning, clustering, and FinOps practices
  • Build and maintain CI/CD pipelines using GitHub Actions and manage infrastructure as code with Terraform
  • Implement the data security model, including IAM, RBAC/ABAC, policy tags, and DLP
  • Contribute to Data Governance standards, including Dataplex, metadata management, and data lineage
  • Conduct code reviews and help define team engineering standards and best practices
  • Provide technical guidance to domain teams within the Hub & Spoke model and promote data engineering best practices on GCP
What We’re Looking For:
  • 5+ years of experience in Data Engineering, including hands-on production experience with GCP
  • Strong, demonstrable project experience with the following technologies and areas:
    • BigQuery – data layer modeling, partitioning, clustering, and cost optimization
    • dbt – models, tests, and documentation
    • Apache Airflow / Cloud Composer
    • Python and PySpark
    • SQL
    • Terraform
  • Experience building lakehouse / data warehouse (DWH) solutions using a medallion architecture
  • Experience with CI/CD (preferably GitHub Actions), Git, and pipeline testing and monitoring
  • Practical knowledge of data security on GCP, including IAM, policy tags / column-level security, and row-level security
  • Very good command of English
Nice-to-Have:
  • Experience with Dataplex / Data Catalog, data lineage, and metadata management
  • Familiarity with Cloud DLP / Sensitive Data Protection
  • Experience with Dataproc and Pub/Sub
  • Experience in the banking sector or another regulated industry
  • Experience working in a platform-oriented model, such as Hub & Spoke, data mesh, or data products
  • A valid Google Professional Data Engineer certification
What we offer:
  • Benefit package (medical, sport, lunch subsidy, life insurance)
  • Be part of a dynamic and fast-growing team focused on reshaping the financial and insurance services landscape in Poland
  • Work in a high-performance environment with opportunities for personal and professional growth
  • Collaborate with senior leaders and industry experts to make a tangible impact
  • Competitive compensation package, including performance-based incentives and benefits

The offer applies to permanent work.

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