Data Engineer and Cloud Architect

hace 2 semanas


Barcelona, Barcelona, España Zurich 56 Company Ltd A tiempo completo
About Zurich 56 Company Ltd

We are a global insurance company with a presence in multiple locations worldwide. Our mission is to provide our customers with confidence and reassurance by protecting what they love most.

Our team of 53,000 employees works together to achieve this goal, enabling businesses and communities to face a world of risk with confidence.

About the Job

This role offers an exciting opportunity for an experienced Data Engineer to join our Investment Accounting and Administration department within Investment Management.

The successful candidate will assist in designing, developing, enhancing, and maintaining a complex data hub that manages key business operations using cloud-based database design and architecture, data pipelines, Python, Spark, and Databricks technology.

We are looking for individuals who can work effectively with our global team of Investment professionals, unlocking value from our vast store of Bloomberg financial data.

The ideal candidate will have a strong background in data engineering, robust software engineering expertise, and the ability to grasp new concepts quickly to keep up with fast-moving data engineering technology.

Key Responsibilities
  • Work collaboratively with the team to understand platform capabilities and improve and expand those capabilities.
  • Design, develop, enhance, and maintain complex data pipeline products that manage business-critical operations and large-scale analytics applications.
  • Support internal Investment Management clients and understand their unique needs and challenges.
  • Instil excellence into processes, methodologies, standards, and technology choices embraced by the team.
Requirements
  • A minimum of 3 years of experience as a Data Engineer, including 2+ years designing and building Databricks data pipelines.
  • Experience with conceptual, logical, and/or physical database designs is highly desirable.
  • A minimum of 2 years of hands-on experience with Python, Pyspark, SparkSQL, and/or Scala.
  • A minimum of 2 years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar).
  • A minimum of 2 years of experience with Spark (especially Databricks Spark and Delta Lake).
  • A minimum of 2 years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes.
  • A minimum of 2 years of SQL experience, specifically writing complex, highly optimized queries across large volumes of data.
Salary and Benefits

We offer a competitive salary of approximately €90,000 per year, depending on experience.

Additionally, we provide a range of benefits, including:

  • An option to work remotely up to 80% of the time.
  • A home office allowance.


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