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. Read more about DWS and who we are here.
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 * 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 * Work with product owners to translate product vision and demand into platform capabilities
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. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. 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.
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.
