Senior Data Engineer — Graph & Lakehouse Platform

Causeway Technologies; Lisboa; Híbrido; EUR 65 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working environments

Focus on work-life balance

Opportunities for career growth

Resumo da oferta

Causeway Technologies is seeking a Senior Data Engineer in Lisbon (Hybrid). This pivotal role involves building a next-generation data platform on Databricks, handling data unification from numerous sources into a resolvable structure suitable for AI agents. Candidates should possess strong experience with Databricks, Python, and cloud storage solutions.

Key responsibilities include managing the medallion pipeline, ensuring data quality, and providing technical leadership within the team. The position offers opportunities for career growth in an award-winning environment, with a focus on well-being and work-life balance.

Qualificações

• Strong production experience on Databricks, Delta Lake, and Delta Live Tables.
• Deep proficiency in Python and PySpark for large-scale data processing.
• Advanced SQL skills including recursive CTEs and query optimization.
• Experience with data transformation and validation frameworks.

Responsabilidades

• Own ingestion and maintain the medallion pipeline layers.
• Monitor data quality and governance across pipeline stages.
• Lead architectural discussions and mentor junior engineers.
• Collaborate with cross-functional teams on data projects.

Conhecimentos

Databricks

Python

PySpark

SQL

PostgreSQL

Data Quality

Data Governance

Cloud Storage

AI Agents

Descrição da oferta de emprego

Causeway Technologies is seeking a Senior Data Engineer in Lisbon (Hybrid). This pivotal role involves building a next-generation data platform on Databricks, handling data unification from numerous sources into a resolvable structure suitable for AI agents. Candidates should possess strong experience with Databricks, Python, and cloud storage solutions.

Key responsibilities include managing the medallion pipeline, ensuring data quality, and providing technical leadership within the team. The position offers opportunities for career growth in an award-winning environment, with a focus on well-being and work-life balance.