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DWS Group in Madrid seeks a Senior Data Engineer - Snowflake to design and operate scalable data pipelines powering decision‑making and analytics. You will collaborate with data governance, platform engineering and business stakeholders to raise data quality and reliability, building ELT pipelines with dbt on Snowflake.
The role requires 10+ years in data engineering, deep Snowflake and Python expertise, and a hybrid work model in Madrid.
Job Description: Employer: DWS Group Title: Senior Data Engineer - Snowflake Location: Madrid Job Code: placeholder for LinkedIn job wrapping
About DWS: Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry‑leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. This is your chance to invest in your future. Read more about DWS and who we are here.
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.
We are looking for 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. Collibra) Understanding of asset management and the financial services data domain would be a plus Strong problem‑solving skills, strategic thinking and attention to detail 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 capturing the opportunities of tomorrow.
You can be part of a leading, client‑committed, global Asset Manager, making an impact on individuals, communities and the world.
In an ever‑changing landscape, markets face a new set of pressures – but here, we see the opportunity in challenges.
Opportunity to invest responsibly; to create change.
Whether it’s collaborating to discover innovative solutions or exploring your curiosity to develop new skills – at DWS, we support you to achieve your goals.
As the world continues to evolve, we do too.
Join us, and you can shape our transformation.
You can collaborate with industry thought‑leaders, gaining new and diverse perspectives.
You can share ideas and be yourself.
You can drive innovative and sustainable solutions that influence markets and behaviours for the better.
This is your chance to lead an extraordinary career.
This is your chance to invest in your future.