Data Transformation Manager

About the role

SIX helps shape the future of financial markets, combining local roots with global reach and a culture where tradition meets innovation. We encourage bright minds and support them in developing their ideas. As a Data Transformation Manager in Warsaw, with up to 40% remote work and reference 8368, you will bring together technology, automation, and AI to convert complex business needs into intelligent, scalable solutions, carrying them from initial concept through to delivery.

Requirements

• Several years of hands-on work in software engineering, automation engineering, application development, data engineering, or solution architecture within financial services, banking, asset management, or other regulated industries.

• Strong practical development background in Python, SQL, Databricks, APIs, Microsoft Power Platform, and Power BI, alongside solid knowledge of software architecture, databases, data modelling, and data quality principles.

• Proven experience delivering enterprise applications, automation solutions, system integrations, and AI/LLM-based capabilities, covering Copilot, intelligent agents, workflow orchestration, and Retrieval-Augmented Generation (RAG) solutions.

• A strong delivery focus with a track record of turning business challenges into scalable technical solutions and working in Agile settings using Jira, Confluence, Git, OpenShift/Kubernetes, and CI/CD practices.

• Outstanding stakeholder management and communication abilities, including the skill to make complex technical topics understandable to non-technical audiences.

• Experience with financial market data and German language skills are a plus.

Responsibilities

1. 1

   Find opportunities for, design, build, and roll out automation, application development, and AI solutions across Data Operations, working with Python, SQL, APIs, Databricks, Power Platform, and modern cloud technologies.

2. 2

   Take full ownership of the automation and application development portfolio, covering opportunity assessment, business case creation, solution architecture, development, deployment, and value realisation.

3. 3

   Turn business needs into technical specifications, solution architectures, user stories, and scalable software products, serving as the link between Data Operations, IT, data platform teams, and external partners.

4. 4

   Create, test, and keep running bespoke applications, automation frameworks, APIs, data pipelines, Copilot agents, and AI-powered solutions, following software engineering best practices such as CI/CD, version control, testing, and monitoring.

5. 5

   Deliver reporting and analytics solutions to track automation adoption, service performance, operational efficiency, and business impact, while keeping solutions secure, scalable, well documented, and easy to maintain.

Benefits & perks

• Remote work possible for up to 40% of your time.