Title: Senior Data Engineer - Snowflake
Join us at DWS, and you can be part of an industry-leading firm with a general presence. You can support our clients, local communities, and the environment.
As investors on behalf of our clients, it is our role to find investment solutions. Team / division overview DWS’s data infrastructure team provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data. As a Senior Data Engineer, you will design, build, and operate scalable data pipelines and platform components that power decision-making, reporting, and enterprise analytics. You will work closely with data governance teams, platform engineering, and business stakeholders to raise the bar on data quality and reliability.
Your Responsibilities As Senior Data Engineer - Snowflake, you will:
Design and implement robust ELT pipelines using dbt on Snowflake, following established data modeling standards
Build and maintain data products for core domains including fund accounting, positions, NAV, and regulatory reporting




Define and enforce data contracts, expectations and alerts with
Design and develop infrastructure components in Terraform or other IaC and infrastructure automation tools
Collaborate with architects, security engineers, control functions, the Chief Data Office and other stakeholder to improve compliance, security posture and reliability
10+ years of experience in data engineering roles
~ Deep hands-on expertise with Snowflake, including architecture, performance tuning, Snowpark, OpenFlow and Streamlit
~ Strong dbt proficiency (models, macros, packages, testing, deployment)
~ Very strong Python skills for pipeline development and tooling
~ Experience with common enterprise data modeling, such as dimensional modeling, SCD or Data Vault
~ Familiarity with cloud platforms (e.g. GCP), StreamSets and Airflow
~ Previous exposure to data governance tooling (e.g. Understanding of asset management and the financ

📌 Senior Data Engineer (Madrid)
🏢 DWS Group
📍 Madrid