EY

Senior Consultant Data Platforms Engineer - Databricks (Financial Services) (w/m/d)

SQL
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About the opportunity

Are you ready to shape your future with confidence?

Making the world a little better every day. That’s the ambition that drives us at EY to go ‘all in’ as a team. After all, we have a clear goal in mind: to create sustainable value and growth – for our clients, employees, and society as a whole. Our global network of around 400.000 employees worldwide offers you every opportunity to grow, develop, specialize, and pursue your strengths and interests professionally. We believe that the right career path is as individual as you are.

Our Financial Services division focuses on financial services and supports banks, insurance companies, and asset managers in successfully navigating an ever-changing and fast-paced world.

Your Responsibilities

As part of our Technology Strategy team, specialized in the financial services sector, in Munich, Frankfurt/Main, Düsseldorf, Stuttgart, Hamburg, Cologne, or Berlin, you will take responsibility for advising our clients on topics related to data and AI transformations. You will undertake a variety of tasks:

  1. Conceptualizing and implementing AI-ready Lakehouse architectures with Delta Lake and the Medallion Pattern, designing data models considering metadata and a semantic layer, introducing Data Mesh and data products, building reliable ingestion and transformation processes using e.g. Auto Loader and/or Delta Live Tables, as well as integrating data quality checks and SLAs.
  1. Developing end-to-end data pipelines on Databricks and similar solutions (preferably with experience in Azure), using PySpark and SQL for batch and streaming processing, as well as implementing DataOps practices including CI/CD, automated tests, and deployment strategies for scalable data platforms.
  1. Integration with upstream and downstream systems (e.g., Kafka/Confluent, Event Hubs, REST-APIs, ADLS/S3; BI tools like Power BI and Databricks SQL warehouses), as well as orchestration and setup of monitoring for workflows (e.g., Databricks workflows, Airflow, Azure Data Factory) and FinOps for cloud data platforms.
  1. Definition and configuration of Data Governance functionalities: catalogs, schemas, permissions, data lineage, auditing, access control at row and column level. Also, application of “Security, Privacy and Compliance by Design” (GDPR, BaFin regulations) and implementation of SSO/SCIM, Secret Scopes, network isolation/Private Link encryption.
  1. Collaboration with architects, analysts, and product owners, documentation of designs, exchange of best practices, mentoring junior engineers.

Additionally, contributing to proposals, accelerators, supporting the handover to operational use, and incident resolution.

Minimum requirements

Your Skillset

  1. Completed degree in (Business) Informatics, (Business) Mathematics, Physics, Statistics, Engineering, or another field of study with a technological-analytical background and more than three years of experience in Data Engineering on cloud platforms.
  1. Practical understanding of Data Governance and data security in regulated environments, as well as strong consulting, (software) engineering, and technology strategy competencies with a focus on implementing business objectives into scalable, future-proof solution architectures for modern data and cloud platforms.
  1. Very good communication skills in German (at least C1 level) and English.

Your Mindset

  1. Agile: You believe that a flexible mindset is just as important for success as knowledge and skills.
  1. Curious: You are ambitious and dedicated. We are looking for people who see opportunities rather than challenges and find better solutions through targeted questions.
  1. Team-oriented: You value diverse perspectives and enjoy working in a team. We are looking for people who want to achieve something together with us and create a trusting work environment.

Your Benefits

At EY, you work in high-performing, interdisciplinary teams with innovative technologies. In a flexible and inclusive work environment, we support you in your various life situations.

Inspiring colleagues as well as on- and off-the-job training and development opportunities help you to grow beyond yourself and further develop the skills you will need in the future. A steep learning curve is guaranteed.

More about our benefits ey.com/de_de/careers/corporate-benefits.

Apply today!

You can find more information about the application process at EY on our career page ey.com/de_de/careers/how-we-hire.

You can find further information about Financial Services here ey.com/en_gl/careers/financial-services.

You can find out what others say about us on kununu kununu.com/de/ernst-young and Glassdoor glassdoor.de/Bewertungen/EY-Bewertungen-E2784.htm.

At EY, we live diversity and welcome all applications. Please let us know in advance if we can support you with a barrier-free application process.

Still have questions? Our Recruitment Center will be happy to answer them at +49 6196 996 10005.

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