Resumo da vaga

Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

The role:

  • Developing and maintaining processes for handling large volumes of data using state of the art tooling like BigQuery, Airflow and dbt.
  • Streamlining and developing the data architecture that power analytical products and work along teams of experienced data engineers and analysts.
  • Helping drive adoption of AI in analytics, unlocking new possibilities on top of our data mesh.
  • Developing tooling for monitoring and enhancing the quality and integrity of the data.
  • Managing and optimizing costs related to our infrastructure and data processing.

Requirements

  • At least 3 years of commercial experience in data engineering.

Requirements

  • Strong experience with Google Cloud Platform (GCP), including BigQuery.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or Cloud Composer.
  • Proficiency in dbt for data transformation and modeling.
  • Solid experience with Git/GitHub for version control.
  • Expert-level knowledge of SQL.
  • Good programming skills in Python.
  • English level min. B2+.

Nice to have:

  • Logistics knowledge, LookML/Looker.

Our offer:

  • 20–25k PLN on a B2B contract
  • Paid days off on public holidays in the case of a monthly fixed-fee settlement
  • Access to the Worksmile platform, where you receive 300 PLN each month to spend on gift cards or various services
  • A work environment that values growth and innovation - you bring the ideas, and we want to hear them 😉

Recruitment process:

  • 30-minute screen with our recruiter, Justyna
  • 1h technical interview
  • 1h interview with the client
  • Offer
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Ver stack
FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackGCP, Python, SQLSkills principais
Localização40 países aceitosElegibilidade

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