Hybrid Data Engineering Lead - Azure, Databricks & Snowflake

Chubb; Madrid; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

32 days vacation

2 days working from home option

Private medical insurance

Life and accident insurance

Pension plan

Stock purchase plan

Employee assistance program

Learning & Development

Job summary

Chubb European Group is seeking a Senior Data Engineering Lead to shape and govern a world-class data platform in a global insurance environment. You will own technical direction, lead squads through the full delivery lifecycle, and drive architectures across Databricks, Snowflake, and Azure.

This hands-on leadership role requires mentoring, setting quality standards, and collaborating with stakeholders to align data solutions with business goals.

Qualifications

• Hands-on experience building and operating production data platforms on Databricks and Snowflake.
• Deep knowledge of Spark, SQL, Python, and cloud data engineering on Azure.
• Proven experience leading engineering squads and owning technical direction, trade-offs, and outcomes.
• Strong background in data warehouse design, distributed systems, performance tuning, cost optimisation, and resilience.

Responsibilities

• Lead the design, build, and optimisation of scalable, high-performance data pipelines and applications on Databricks, Snowflake, and Azure.
• Stay hands-on with critical code paths, solving complex technical challenges and setting the standard for quality, testing, and operational excellence.
• Define and promote engineering standards across squads, including coding practices, CI/CD, testing, observability, and performance.
• Guide delivery from discovery to go-live across multiple initiatives, ensuring speed without compromising quality, security, or maintainability.
• Mentor engineers, review designs and pull requests, and help grow the data engineering capability.
• Champion Agile ways of working to improve team effectiveness and delivery flow.
• Make pragmatic architecture decisions across cloud-native solutions, microservices, and event-driven patterns.
• Design and build core data assets on Databricks, including medallion-style data lakes, PySpark pipelines, streaming solutions, and downstream data products.

Skills

Spark

SQL

Python

Leadership

SDLC

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Databricks

Snowflake

Azure

PySpark

Delta Lake

Structured Streaming

Delta Live Tables

Event Hubs/Kafka

Job description

Chubb European Group is seeking a Senior Data Engineering Lead to shape and govern a world-class data platform in a global insurance environment. You will own technical direction, lead squads through the full delivery lifecycle, and drive architectures across Databricks, Snowflake, and Azure.

This hands-on leadership role requires mentoring, setting quality standards, and collaborating with stakeholders to align data solutions with business goals.