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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. Team \u002F 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 Work with product owners to translate product vision and demand into platform capabilities 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. What we’ll offer you: 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. 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. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you. Als DWS setzen wir uns für die Schaffung eines vielfältigen und integrativen Arbeitsplatzes ein. Einen Arbeitsplatz, an dem Dialog und unterschiedliche Perspektiven wertgeschätzt werden und eine faire Behandlung auf Basis einer Leistungskultur sichergestellt ist. Der Mehrwert, den wir für unsere Kunden und Investoren schaffen, basiert auf unserer Fähigkeit, verschiedene Perspektiven aus der ganzen Welt und mit unterschiedlichen Hintergründen zusammenzubringen. Wir haben die Erfahrung gemacht, dass Teams bessere Leistungen erbringen und bessere Ergebnisse erzielen, wenn sie in der Lage sind, eine Vielzahl von Perspektiven einzubeziehen. Wir nennen das #ConnectingTheDots. Seit über 150 Jahren wird unser Anspruch, die Globale Hausbank für unsere Kunden zu sein, von unseren Mitarbeitern vorangetrieben – in rund 60 Ländern und mit mehr als 150 Nationalitäten. Ihr tiefes Verständnis, ihre Erfahrungen, ihr Fachwissen und ihre Leidenschaft helfen unseren Kunden, sich in einer zunehmend komplexen Welt zurechtzufinden – sei es in unserer Unternehmensbank, unserer Privatkundenbank, unserer Investmentbank oder in unserem Asset Management (DWS). Gemeinsam können wir für unsere Kunden im In- und Ausland Großes bewirken und ihren dauerhaften Erfolg und ihre finanzielle Sicherheit sicherstellen. Mehr Informationen unter: Deutsche Bank Careers (db.com)",{"@type":19,"name":9},"Organization","2026-08-17","2027-08-17",[23],{"@type":24,"address":25,"geo":30},"Place",{"@type":26,"addressLocality":27,"addressCountry":28,"addressRegion":29},"PostalAddress","Madrid","ES","Comunidad de Madrid",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",40.4234685,-3.6917745,"HYBRID",[36],"PERMANENT",[38],"Financial Services",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65],"Snowflake","dbt","Python","Terraform","GCP","StreamSets","Airflow","Collibra","Snowpark","OpenFlow","Streamlit","Problem-solving","Strategic thinking","Attention to detail","Collaboration","Communication","Data Engineering","ELT Pipelines","Data Modeling","Dimensional Modeling","SCD","Data Vault","Data Governance","Asset Management","Financial Services Data Domain","AI Tools",{"@type":67,"currency":68,"value":69},"MonetaryAmount","EUR",{"@type":70,"minValue":71,"maxValue":72,"unitText":73},"QuantitativeValue",70000,100000,"YEAR",[32],[33],"permanent",[78],"FULL_TIME",[78],"hybrid","estimated",[83,84,85,86],"Healthcare","Company perks","Retirement plan","Hybrid working model",[83,84,85,86],"financial services",[90],"930g, madrid, paseo de recoletos 27, spanien",[92],"P.º de Recoletos, 27, Centro, 28004 Madrid, Spanien",[94],"Paseo de Recoletos 27",[27],[97],"28004",[99],"Spanien",[28],"**Job Description:**\n\n**Employer:** DWS Group\n\n**Title:** Senior Data Engineer - Snowflake\n\n**Location:** Madrid\n\n**Job Code:** placeholder for LinkedIn job wrapping\n\n## About DWS:\n\nToday, 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.\n\nJoin 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.\n\nAnd 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.\n\n## Team \u002F division overview\n\nDWS’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.\n\n## Your responsibilities –\n\nAs Senior Data Engineer - Snowflake, you will:\n\n- Design and implement robust ELT pipelines using dbt on Snowflake, following established data modeling standards\n- Build and maintain data products for core domains including fund accounting, positions, NAV, and regulatory reporting\n- Define and enforce data contracts, expectations and alerts with\n- Design and develop infrastructure components in Terraform or other IaC and infrastructure automation tools\n- Collaborate with architects, security engineers, control functions, the Chief Data Office and other stakeholder to improve compliance, security posture and reliability\n- Work with product owners to translate product vision and demand into platform capabilities\n\n## We are looking for\n\n- 10+ years of experience in data engineering roles\n- Deep hands-on expertise with Snowflake, including architecture, performance tuning, Snowpark, OpenFlow and Streamlit\n- Strong dbt proficiency (models, macros, packages, testing, deployment)\n- Very strong Python skills for pipeline development and tooling\n- Experience with common enterprise data modeling, such as dimensional modeling, SCD or Data Vault\n- Familiarity with cloud platforms (e.g. GCP), StreamSets and Airflow\n- Previous exposure to data governance tooling (e.g. Collibra)\n- Understanding of asset management and the financial services data domain would be a plus\n- Strong problem-solving skills, strategic thinking and attention to detail\n- Fluent in English (written and spoken)\n- 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.\n\n## What we’ll offer you:\n\nAt 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.\n\nDWS’ 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. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people.\n\nIf you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you.\n\nAls DWS setzen wir uns für die Schaffung eines vielfältigen und integrativen Arbeitsplatzes ein. Einen Arbeitsplatz, an dem Dialog und unterschiedliche Perspektiven wertgeschätzt werden und eine faire Behandlung auf Basis einer Leistungskultur sichergestellt ist. Der Mehrwert, den wir für unsere Kunden und Investoren schaffen, basiert auf unserer Fähigkeit, verschiedene Perspektiven aus der ganzen Welt und mit unterschiedlichen Hintergründen zusammenzubringen. Wir haben die Erfahrung gemacht, dass Teams bessere Leistungen erbringen und bessere Ergebnisse erzielen, wenn sie in der Lage sind, eine Vielzahl von Perspektiven einzubeziehen. Wir nennen das #ConnectingTheDots.\n\nSeit über 150 Jahren wird unser Anspruch, die Globale Hausbank für unsere Kunden zu sein, von unseren Mitarbeitern vorangetrieben – in rund 60 Ländern und mit mehr als 150 Nationalitäten. Ihr tiefes Verständnis, ihre Erfahrungen, ihr Fachwissen und ihre Leidenschaft helfen unseren Kunden, sich in einer zunehmend komplexen Welt zurechtzufinden – sei es in unserer Unternehmensbank, unserer Privatkundenbank, unserer Investmentbank oder in unserem Asset Management (DWS). Gemeinsam können wir für unsere Kunden im In- und Ausland Großes bewirken und ihren dauerhaften Erfolg und ihre finanzielle Sicherheit sicherstellen.\n\nMehr Informationen unter: Deutsche Bank Careers (db.com)",{"dbt":103,"gcp":104,"python":103,"airflow":104,"collibra":105,"openflow":104,"snowpark":104,"snowflake":103,"streamlit":104,"terraform":104,"streamsets":104},4,3,2,[40,41,42,43,44,45,46,47,48,49,50],{"problem-solving":103,"strategic thinking":103,"attention to detail":103,"collaboration":103,"communication":103},[51,52,53,54,55],{"scd":103,"ai tools":104,"data vault":103,"data modeling":103,"elt pipelines":103,"data governance":104,"asset management":105,"data engineering":103,"dimensional modeling":103,"financial services data domain":105},[56,57,58,59,60,61,62,63,64,65],{"detected_language_jobad":112,"required":113},"en",[114],[115],{"language":116,"level":117},"ENGLISH","C1",10,[120],"Information and Communications Technology Professionals",[120],"https:\u002F\u002Fdb.wd3.myworkdayjobs.com\u002Fde-de\u002Fdbwebsite\u002Fjob\u002Fmadrid-paseo-de-recoletos-27\u002Fsenior-data-engineer---snowflake-_r0441636-2",1]