Title: Senior Data Engineer - Snowflake Join us at DWS, and you can be part of an industry-leading firm with a integral 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.

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.

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 financial services data domain would be a plus ~ Fluent in English (written and spoken) ~ Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. DWS’ Hybrid Working model is designed to find the right balance between in‑person collaboration and engagement in the office, which is core to our working culture, and working from home.

Each business group varies on the split between time spent in the office and at home, but this will be discussed and made clear as part of your application and interview process. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high‑performance culture.

It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives.

📌 Senior Data Engineer - Hybrid Working (Madrid)
🏢 Deutsche Bank
📍 Madrid