.Our opportunityCareer opportunity in our Investment Accounting and Administration department within Investment Management for an experienced Data Engineer in cloud based database design and architecture, data pipelines, Python, Spark and Delta/Data Lake technology.Individuals in this role will assist in the design, development, enhancement, and maintenance of a complex data hub that manages key business operations. Qualified applicants will have a demonstrated capability to learn new concepts quickly, have a data engineering background, and/or have robust software engineering expertise.Your roleAs a Data Engineer your main responsibilities will involve:Work with the team to understand platform capabilities and how to best improve and expand those capabilities.Design, development, enhancement, and maintenance of complex data pipeline products which manage business-critical operations and large-scale analytics applications.Support internal Investment Management clients and understand their unique needs and challenges.Instil excellence into the processes, methodologies, standards, and technology choices embraced by the team.Embrace new concepts quickly to keep up with fast-moving data engineering technology.Dedicate time to continuous learning to keep the team appraised of the latest developments in the space.Your Skills and ExperienceAs a Data Engineer your skills and qualifications will ideally include:2+ years of Data Engineering experience including 1+ years designing and building Databricks data pipelines is required; Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu.Experience with conceptual, logical and/or physical database designs is a plus.2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience is required.1+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar) is required.2+ years of Spark experience (especially Databricks Spark and Delta Lake) is required.2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is highly desired.Experience with financial data providers such as Bloomberg in an asset management firm or other financial service company is highly desired.Must be comfortable speaking English.What we offer?Option to work hybrid up to 80% remotely and 20% at the office.Flexible working hours.Wide range of internal and external trainings.Free English and Spanish classes depending on the needs.Ticket restaurant.Life Insurance.Special banking and insurance conditions.Exclusive Employees discounts.Primary work location is Barcelona, Via Augusta. Please apply with your CV in English by clicking on the button "Apply online". We look forward to receiving your online application.Zurich wants to attract the best talent and we acknowledge that talents might not always be available full-time. At Zurich we will consider requests for flexible working
