Data Engineer

Overview

In this role, you will build and optimize scalable data pipelines and models to deliver analytics-ready data that enables data-driven decision-making. You’ll work within the Data Platform & AI Team to design batch and streaming pipelines, support BI with high-performance data models, and implement data quality and observability to maintain reliability. You’ll translate business needs into scalable data solutions and drive continuous improvement in data incidents. This position offers a chance to impact data-driven decisions across the organization while operating in a cloud-centric, FinOps-minded environment.

Retribuzione / Benefits €40,000–€50,000 gross salary

corporate welfare services

equal opportunity employer

Responsabilità Design, develop, and maintain scalable batch and streaming data pipelines for ingestion, transformation, and delivery

Collaborate with BI teams to deliver data models, data marts, and semantic layers for business needs

Implement data quality, monitoring, and observability frameworks to ensure data reliability

Manage data incidents with root cause analysis and continuous improvement to prevent recurrence

Translate business and analytical requirements into scalable, maintainable data solutions

Requisiti fondamentali Minimum 5 years of professional data engineering experience

Strong SQL skills

Experience building transformation layers from raw data to analytics-ready datasets

Experience with dbt or similar analytics engineering tools

Cloud experience with at least one major provider (GCP, Azure, or AWS)

Performance tuning, partitioning, pruning, and cost-efficient cloud usage (FinOps mindset)

Clear communicator with both technical and non-technical stakeholders

Curious and proactive problem-solver

dbt or similar analytics engineering tools

SQL proficiency

Batch and streaming data pipeline development

Data modeling for analytics-ready datasets