Data Transformation Specialist

SIX Group Services Ltd.

Warszawa

Hybrid

PLN 150.000 - 210.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Flexible Work Models
Personal Development
Agile Working Methods

Zusammenfassung

SIX Group Services Ltd. in Warsaw is seeking a Data Transformation Specialist to drive automation and process modernization within Financial Information Data Operations. You will analyze data workflows, design future-state solutions, and collaborate with international stakeholders across Switzerland, Spain, the UK and Poland.

The role blends finance-domain knowledge with strong technical skills. Proficiency in Databricks, Python, and SQL is essential to contribute to scalable data operations

Qualifikationen

  • Strong business knowledge of financial instrument data, including corporate actions, reference data and structured products.
  • Experience translating business requirements into operational and technical solutions.
  • Strong process automation and transformation experience.
  • Hands-on Databricks experience is mandatory.
  • Excellent stakeholder management and communication skills.
  • Self-driven mindset with the ability to work independently and drive initiatives.

Aufgaben

  • Analyze existing business and data processes and identify opportunities for automation and optimization.
  • Design and implement future-state solutions that improve efficiency, scalability, and data quality.
  • Translate business requirements into practical technical solutions.
  • Drive transformation initiatives related to financial instrument data, reference data, corporate actions, and structured products.
  • Collaborate with cross-functional teams and stakeholders across multiple locations.
  • Challenge existing processes and proactively identify opportunities for improvement.
  • Support change management activities to ensure successful adoption of new solutions.
  • Establish controls and monitoring mechanisms to maintain data quality and operational excellence.

Kenntnisse

Databricks
Python
SQL
Automation
Data transformation
Financial data
Stakeholder management
English proficiency
Independent work

Tools

Databricks

Jobbeschreibung

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SIX drives the transformation of financial markets.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Data Transformation Specialist

Warsaw | Up to 40% working from home possible | Reference 8175

We are looking for a Data Transformation Specialist to drive process transformation and automation initiatives within Financial Information Data Operations. This role combines deep business knowledge of financial instrument data with strong technical capabilities to identify inefficiencies, redesign processes, and implement scalable automation solutions.

The successful candidate will work closely with stakeholders across Switzerland, Spain, the UK, and Poland, contributing directly to strategic transformation objectives and operational excellence initiatives.

This is an excellent opportunity for someone who enjoys combining technology, data, and business process improvement to deliver measurable business impact.

What You Will Do
  • Analyze existing business and data processes and identify opportunities for automation and optimization.
  • Design and implement future-state solutions that improve efficiency, scalability, and data quality.
  • Translate business requirements into practical technical solutions.
  • Drive transformation initiatives related to financial instrument data, reference data, corporate actions, and structured products.
  • Collaborate with cross-functional teams and stakeholders across multiple locations.
  • Challenge existing processes and proactively identify opportunities for improvement.
  • Support change management activities to ensure successful adoption of new solutions.
  • Establish controls and monitoring mechanisms to maintain data quality and operational excellence.
  • Contribute to strategic initiatives aimed at modernizing and enhancing Data Operations capabilities.
What You Bring
  • Strong business knowledge of financial instrument data, namely related to corporate actions, reference data, structured products
  • Experience translating business requirements into operational and technical solutions.
  • Strong process automation and transformation experience.
  • Hands-on experience with Databricks (mandatory).
  • Excellent stakeholder management and communication skills.
  • Self-driven mindset with the ability to work independently and drive initiatives forward.
  • 3-5 years of relevant experience in data transformation, process improvement, financial data operations, or related fields.
  • Python,SQL, other automation or programming languages
  • Experience with business process redesign and operational transformation initiatives
  • English (C1 level or higher)
  • Work closely with colleagues across Switzerland, Spain, the UK, and Poland in a truly international environment.
  • Confident and approachable when working with both technical and non-technical stakeholders.
  • Proactive and self-motivated.
  • Comfortable challenging existing processes and proposing better alternatives.
  • Curious, solution-oriented, and willing to ask questions.
  • Able to balance independent work with strong collaboration across teams.

If you have any questions, check out our FAQ page or call Agnieszka Leputa at +48538562645

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

What We Offer

Flexible Work Models
We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development
You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

Agile Working Methods
Whether through scrum or design thinking,
we solve exciting tasks together in teams.

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