Remote Data Engineer: DWH & ETL for FinTech

Tabby | تابي; Lisboa; Presencial; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Full-time B2B contract

Fully remote setup

Tax allowance

Paid leave 22 days

Stock options

Flexible benefits

International engineering team

Relocation support

Resumo da oferta

Tabby is seeking a Data Engineer to join our Data Platform & ML team in a fully remote role. You will help create our corporate data warehouse using cloud technologies and best practices for data processing and storage.

Responsibilities include building DWH pipelines, data synchronization, and integrating governance and quality controls while optimizing costs. Relocation support to hubs is available where applicable.

Qualificações

• 3+ years of experience as a Data Engineer.
• DWH development and maintenance experience.
• Architecture: Kimball, Inmon, Medallion, Data Mesh.
• Data modeling: SCD forms, Normal forms, Star Schema, Data Vault.
• Python and Python best practices.
• SQL and SQL best practices.
• System design best practices.
• Familiar with Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab CI/CD, GCP.
• Experience with REST API / gRPC / Message queues.

Responsabilidades

• DWH development for stakeholders and ML Engineers.
• Data synchronization between internal and external systems.
• Develop tools for collecting data into the DWH.
• Build EL/ELT/ETL pipelines.
• Integrate new data governance and data quality practices.
• Cost optimization of data infrastructure.

Conhecimentos

DWH development

Data modeling

Python

SQL

System design

Cloud platforms

Airflow

dbt

BigQuery

Clickhouse

PostgreSQL

Docker

GitLab CI/CD

GCP

Ferramentas

Airflow

dbt

BigQuery

Clickhouse

PostgreSQL

Docker

GitLab CI/CD

GCP

Descrição da oferta de emprego

Tabby is seeking a Data Engineer to join our Data Platform & ML team in a fully remote role. You will help create our corporate data warehouse using cloud technologies and best practices for data processing and storage.

Responsibilities include building DWH pipelines, data synchronization, and integrating governance and quality controls while optimizing costs. Relocation support to hubs is available where applicable.