Luxembourg

Your career at Deutsche Börse Group

Your area of work:

As a Data Scientist within the Data Analytics & Governance unit, you will contribute to the development of innovative data products, advanced analytics solutions and AI-enabled capabilities supporting Clearstream Fund Services. Working closely with business, IT, data product and governance teams, you will help transform complex data into valuable insights and scalable solutions that enhance decision-making, operational efficiency and client value across the investment funds industry. The role combines data science, data engineering and analytics, providing opportunities to contribute throughout the entire data lifecycle, from data preparation and modelling to visualization and business adoption.

Your responsibilities:

• Develop and enhance curated datasets, semantic models and analytical data products from requirements gathering through to delivery.
• Build and maintain data pipelines using modern platforms such as Databricks, leveraging SQL, Python and PySpark.
• Design dashboards, reports and self-service analytics solutions using Power BI and related technologies.
• Apply machine learning and AI techniques to develop, test and validate business and operational use cases.
• Support the industrialization and deployment of data and AI solutions in collaboration with business and technology stakeholders.
• Ensure data quality, governance, metadata, lineage, scalability and performance requirements are embedded throughout the data lifecycle.
• Contribute to Agile delivery activities, including user stories, backlog refinement, stakeholder reviews and solution prioritization.
• Communicate analytical findings, recommendations and technical concepts effectively to both technical and non-technical audiences.

Your profile:

• Master's degree in Data Science, Computer Science, Engineering, Mathematics or a related quantitative field.
• Minimum 2 years of professional experience in data science, analytical solution development, data engineering or related areas.
• Strong proficiency in SQL and Python, with hands-on experience using PySpark for data processing and analytics.
• Experience working with Databricks or a comparable modern cloud-based data platform.
• Proven experience developing semantic models, data products and Power BI dashboards.
• Practical experience applying machine learning and AI techniques to business or operational use cases.
• Knowledge of the investment funds industry, fund administration or financial services data environments.
• Fluent in English; additional European languages would be considered an advantage.

Why Deutsche Börse Group?

We are committed to providing a work environment where everyone feels welcome and can reach their full potential. Our standards go far beyond simply matching candidates with the right position.

Mobility

We enable you to move freely with our job tickets, job (e-)bikes and free parking opportunities.

Work environment

Collaboration, communication, or deep focus - in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included.

Health and wellbeing

We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates.

Financial stability

We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts.

Hybrid work

Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds.

Flexible working hours

We want your job to fit your life situation and offer flexible working time models, childcare allowance, or the possibility to study alongside your job.

Internationality

Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations.

Development

We promote individual development by offering internal development programmes, mentoring, further education and training budgets.

Contact

Recruiting Team

Take your career to the next level with us and embrace new challenges!

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+496921111810

Our Recruiting Team is looking forward to your call or e-mail.

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