Your area of work
You will orchestrate a transformation in Deutsche Börse's data analytics landscape to create a Data Mesh. Your expertise will support the transition from traditional on-premises systems to a modern, cloud-based data mesh architecture, incorporating a self-service analytics platform. This role demands a strategic vision to integrate various legal entities within Deutsche Börse into the data mesh, enabling them to contribute and leverage their analytics use cases effectively. You will ensure the quality control and alignment of these implementations, fostering a synergetic environment that upholds the company's standards. Additionally, your data science expertise will be crucial, utilizing platforms such as GCP and Databricks to build new quantitative analytics products.
Your responsibilities
1. Lead the “Data Mesh” stream in the transformation of Deutsche Börse's data infrastructure to a cloud-based data mesh.
2. Facilitate the integration of legal entities into the data mesh, and ensure their analytics use cases are supported and aligned with the overall data strategy.
3. Oversee the development of the self-service analytics platform, enabling users to access, analyze, and visualize data with autonomy.
4. Maintain rigorous quality control standards across the data mesh, ensuring the integration with the Enterprise Data Catalogue data integrity, governance, and compliance.
5. Drive synergetic alignment across legal entities' analytics initiatives, optimizing the collective use of the data mesh for enhanced decision-making.
6. Collaborate with stakeholders to understand requirements, develop solutions, and ensure successful implementation of data science products and also provide clear updates, insights, and strategic recommendations to the executive leadership team.
7. Support cross-functional teams, fostering a culture of continuous learning and development in data analytics practices.
Your profile
8. You have a minimum of 10 years of experience in data analytics, with a strong background in IT and leading data transformations.
9. You are experienced in cloud-based data platforms, particularly GCP and Databricks.
10. You have a proven ability to integrate and align multiple use cases within a complex data ecosystem.
11. You have a data science background, with the ability to apply quantitative analytics techniques to support business objectives.
12. You are a strategic thinker with a problem-solving mindset and the ability to navigate complex challenges.
13. You have a degree in Computer Science, Engineering, Data Science, or a related field.
14. You have exceptional English communication skills, and are capable of managing diverse teams and influencing senior stakeholders.
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.