Data Engineer: Build Scalable Cloud ETL Pipelines

Kx Advisors; Portugal; Presencial; EUR 60 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Retirement plans

Paid time off

Wellness benefits

Life insurance

Learning & development

Resumo da oferta

BGBx is seeking a Data Engineer with 3–5 years of experience to design, build, and maintain data pipelines. You will extract, process, and transform data into reliable datasets for analysis and downstream applications, using Python and SQL, across cloud infrastructure.

The role emphasizes strong coding skills, database knowledge, and experience with modern cloud data technologies. Collaboration with analysts and product teams is essential, with a salary range and bonus eligibility noted in the

Qualificações

• 3–5 years of hands-on data engineering experience building and maintaining data pipelines.
• Strong Python and SQL skills.
• Experience with at least one cloud data warehouse (e.g., BigQuery, Redshift, Snowflake, etc.).
• Familiarity with an orchestration tool such as Airflow, Dagster, Prefect, or Flyte.

Responsabilidades

• Design, build, and maintain ETL/ELT data pipelines.
• Extract, clean, transform, and model data from internal and external sources.
• Develop data solutions using Python and SQL.
• Work with large-scale datasets and cloud-based data infrastructure.
• Support data consumers, including analysts, data scientists, and product teams.
• Monitor pipeline health, troubleshoot failures, and optimize performance.

Conhecimentos

Python

SQL

Cloud data warehouse

Cloud platforms

Database knowledge

Ferramentas

Airflow

Descrição da oferta de emprego

BGBx is seeking a Data Engineer with 3–5 years of experience to design, build, and maintain data pipelines. You will extract, process, and transform data into reliable datasets for analysis and downstream applications, using Python and SQL, across cloud infrastructure.

The role emphasizes strong coding skills, database knowledge, and experience with modern cloud data technologies. Collaboration with analysts and product teams is essential, with a salary range and bonus eligibility noted in the