Data Scientist & Engineer (f/m/d)

Frankfurt am Main

Your career at Deutsche Börse Group

Your area of work:

The Chief Technology Officer (CTO) area is at the heart of the Information Technology division of Deutsche Börse Group. The CTO area develops and operates the group-wide IT infrastructure (network, data centers and cloud), the Group Data & Advanced Analytics and the Enterprise Architecture which significantly contribute to Deutsche Börse Group overall strategy. The CTO area drives digital transformation and leverages innovation while keeping production operations stable are the core pillars of the shared services.

We are looking for an experienced and analytically minded Data Scientist & Engineer to join our Group Data Services team. In this role, you will design, develop, and deploy data science solutions and data engineering pipelines that drive business value across Deutsche Börse Group. You will work with capital markets data - including price data, market data, and trading information from our exchanges such as Eurex, Xetra, and 360T - to build production-ready analytics, machine learning models, and scalable data products. You will collaborate closely with business stakeholders, data engineers, and product teams at the intersection of advanced analytics and financial markets infrastructure.

• Design, develop, and deploy machine learning models and analytics solutions for capital markets use cases, including price analysis, market data quality, and trading analytics.
• Build and maintain scalable data pipelines using Databricks, Delta Lake, and related technologies to process high-volume financial market data.
• Analyze and model price data, order book data, and trading patterns from Eurex, Xetra, and 360T platforms.
• Implement MLOps practices using MLflow, including experiment tracking, model versioning, and automated deployment pipelines.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Support data quality and governance initiatives for market data products.
• Maintain comprehensive documentation for models and pipelines.
• Mentor junior team members and contribute to continuous improvement of team practices.

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, Quantitative Finance, or comparable field; alternatively, Bachelor's with substantial relevant experience.
• 3-5 years of professional experience in data science, machine learning, or data engineering.
• Strong proficiency in Python with data science libraries (pandas, NumPy, PySpark, scikit-learn).
• Solid experience with SQL and analytical databases.
• Experience with Apache Spark and large-scale data processing.
• Strong skills in time-series analysis and statistical methods.
• Familiarity with version control (Git/GitHub) and CI/CD workflows.
• Excellent communication skills; fluency in English required.

Highly desirable:

• Hands-on experience with Databricks (notebooks, workflows, Delta Lake, Unity Catalog) or similar cloud-based data lake house platforms.
• Experience working with financial market data (price data, tick data, reference data).
• Understanding of capital markets concepts (trading venues, derivatives, equities, FX, market microstructure).
• Experience with MLflow and MLOps practices.
• German language skills.

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.