Senior Data Platform Engineer — Cloud & Analytics

Greenhouse Software, Inc.; Porto; Híbrido; EUR 52 000 - 76 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Discretionary bonus

Personal development

Open Source friendly

Resumo da oferta

Ebury Porto Office is seeking a Senior Data Engineer to join the Data Platform team. You will design, build, and maintain a scalable data platform used across the company, collaborating with stakeholders to deliver insights and drive innovation.

The role requires strong Python and SQL, data warehousing and modelling skills, and hands-on experience with GCP (BigQuery, Cloud Run, Cloud Functions). The position is based in Porto with hybrid work (4 days in office, 1 remote).

Qualificações

• Proficiency in Python for data transformation and validation.
• Proficiency in SQL for querying and managing large datasets and data sources.
• Data engineering and modelling skills such as slowly changing dimensions and dimensional modelling.
• Hands-on experience with data warehousing, data lakes, and cloud platforms, including designing and implementing data solutions at scale.

Responsabilidades

• Oversee design, development, and maintenance of a robust data platform used across the company.
• Collaborate with stakeholders to understand data needs and deliver actionable insights.
• Drive innovation and evaluate emerging technologies to enhance data capabilities.
• Establish and enforce data governance policies and standards to ensure data quality and security.

Conhecimentos

Python

SQL

Dimensional modelling

SCDs

Data warehousing

Data modelling

Data governance

Ferramentas

BigQuery

Cloud Run

Cloud Functions

GCP

Descrição da oferta de emprego

Ebury Porto Office is seeking a Senior Data Engineer to join the Data Platform team. You will design, build, and maintain a scalable data platform used across the company, collaborating with stakeholders to deliver insights and drive innovation.

The role requires strong Python and SQL, data warehousing and modelling skills, and hands-on experience with GCP (BigQuery, Cloud Run, Cloud Functions). The position is based in Porto with hybrid work (4 days in office, 1 remote).