Data Engineer – Investment Management

Van Lanschot Kempen; Amsterdam; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Van Lanschot Kempen seeks a Data Engineer within Investment Management Technology & Analytics (IMTA) to build and evolve the data and analytics platform used by investment professionals across the firm.

You will design, develop and operate production-grade data pipelines in Azure, collaborate with investment, risk and reporting specialists to translate business needs into robust technical solutions, and contribute to engineering standards and data quality across the platform.

Formación

• Bachelor's or master's degree in computer science, data science, mathematics, engineering, finance, or related field.
• About five years or more relevant data engineering experience; software engineering experience is nice to have.
• Strong Python and SQL programming skills.
• Experience with distributed data processing (e.g., PySpark).
• Experience with cloud-based data platforms, especially Azure and Databricks.
• Familiar with Git, CI/CD and modern software development practices.
• Ability to own solutions from design to production.
• Willingness to collaborate with engineers and business specialists.

Responsabilidades

• develop production-grade data pipelines and transformations using Python, SQL and PySpark
• design data models that turn complex investment and sustainability data into well-structured, reusable datasets
• build automated data-quality checks and engineering tests to ensure that our data is trustworthy
• improve the reliability, performance, observability and maintainability of our data platform
• contribute to engineering standards, architecture and technology choices within the team
• use CI/CD and automated deployment practices to safely bring changes into production
• collaborate directly with investment, risk and reporting specialists to translate business needs into robust technical solutions
• help improve the team's software engineering practices and development processes
• explore new technologies and opportunities in data engineering, analytics and AI where they can create business value.

Conocimientos

Python programming

SQL

Distributed data processing

Educación

Bachelor's or Master's in Computer Science/Data Science/Mathematics/Engineering/Finance

Herramientas

Azure Databricks

Azure Data Factory

Azure Storage

Azure SQL

Git

CI/CD

Descripción del empleo

As a Data Engineer within Investment Management Technology & Analytics (IMTA), you will help build and evolve the data and analytics platform used by investment professionals across Van Lanschot Kempen.

You will work in a DevOps team responsible for investment and sustainability data and the solutions built on top of it. Our data supports a wide range of business-critical processes, including investment analysis, risk monitoring, regulatory and client reporting, and dashboards used to generate actionable insights. The team works closely with other IMTA DevOps teams focusing on analytics, dashboarding and AI. Together, we provide the data foundation, analytical capabilities and technology used by professionals in asset management, fiduciary management and manager selection.

As a Data Engineer, you will design, build and continuously improve reliable data products and components of our investment data and analytics platform. You also have the following tasks:

• develop production-grade data pipelines and transformations using Python, SQL and PySpark;

• design data models that turn complex investment and sustainability data into well-structured, reusable datasets;

• build automated data-quality checks and engineering tests to ensure that our data is trustworthy;

• improve the reliability, performance, observability and maintainability of our data platform;

• contribute to engineering standards, architecture and technology choices within the team;

• use CI/CD and automated deployment practices to safely bring changes into production;

• collaborate directly with investment, risk and reporting specialists to translate business needs into robust technical solutions;

• help improve the team's software engineering practices and development processes;

• explore new technologies and opportunities in data engineering, analytics and AI where they can create business value.

Our platform is built primarily on Microsoft Azure, using technologies including Azure Databricks, PySpark, Azure Data Factory, Azure Storage, Azure SQL and Git-based CI/CD.

Your talents

Curious, pragmatic and collaborative. This is how we can best describe you in the position of Data Engineer – Investment Management. Talents that you use to guide our customers in a constantly changing world every day. By thinking out of the box and asking questions. And all will be well if you enjoy solving complex data problems, take ownership from development through production, and care about creating solutions that remain understandable and reliable as they grow.

You also have:

• have a bachelor's or master’s degree in computer science, Data Science, Mathematics, Engineering, Finance or a related field, or equivalent professional experience;

• have approximately five years or more relevant data engineering experience. Software engineering experience is nice to have;

• have strong programming skills in Python and SQL;

• are familiar with distributed data processing, for example using PySpark or an equivalent technology;

• understand data modelling and the principles of data quality and automated testing;

• have experience working with cloud-based data platforms. Experience with Azure and Databricks is particularly relevant;

• are comfortable working with Git, CI/CD and modern software-development practices;

• enjoy taking ownership of solutions from design and development through to production;

• enjoy collaborating with both engineers and business specialists;

• are curious, pragmatic and motivated to continuously improve both the technology and the way the team works.

Experience with investment, financial or sustainability data is valuable, but not essential. More important is your ability and willingness to understand the business meaning behind the data you engineer.

Move ahead at Van Lanschot Kempen

Investing in line with our clients' beliefs and goals, supporting them in future-oriented, sustainable and data-driven decision-making. Both nationally and internationally. With nearly 300 years of experience, we make this ambition a reality at Van Lanschot Kempen. We do this with some 2,300 colleagues in various fields of expertise.

Within IMTA, you will work in a highly collaborative environment where business and technology come together. We combine the dynamics of a start-up with the stability of an established organization, working on solutions that have real impact on our investment management capabilities.

An organisation's degree of innovation and agility also depends on the diversity of its workforce. Our differences make us stronger together. We promote an inclusive work environment where all colleagues feel at home. With us, you can be yourself. And we are proud of that.

Curious about the stories of colleagues and how they experience working at Van Lanschot Kempen? Go to Podcasts and find out more!