Data Engineer

Listening Is the Way to Winning

Apply

We drive the transformation of the financial markets. That’s why we invest in bright minds, in their ideas, knowledge and development. We do that by combining our best sides.

If you would like to find out why stability makes us so agile, why experience makes us so curious and why empathy makes us so impactful, apply now for the position of

Data Engineer

Zurich | 80-100% | Reference 2724

Banking Services is central with its responsibility to orchestrate the Swiss payments. We provide the infrastructure for interbank payments as well as the coordination of card-based and mobile transactions. With our four ecosystems – Billing & Payments, Cards, Cash and Connectivity - we address most of the needs of financial institutions, software firms, companies and, increasingly, the Swiss population too.
Our culture is based on four main pillars such as trust, collaboration, ownership and customer focus. We take a pride in shaping the future of Swiss payments and we are looking for a proactive Data Scientist / Data Engineer based in Zurich.

You will have the opportunity to become part of our highly motivated Data Science team, which is embedded in the Banking Services business unit, part of the SIX Group company, focusing on building and driving new state of the art technologies in various fields. We are currently seeking to expand our team and this is an unique opportunity to join us in this exciting journey. In this position you will  also  engage with other data engineers/scientists and business representatives. You will ensure both seamless access to the required data, as well as to develop analytics tools to support our product development, marketing teams and leadership with data insights.

What You Will Do

  • Use the latest innovations in analytics and visualization to support improvement of product development, marketing techniques and business strategies
  • Be responsible for developing, maintaining and extracting knowledge from strategic internal and external data sets
  • Orchestrate, monitor and maintain fully automated data pipelines for optimal extraction, transformation, and loading of data from a wide variety of sources
  • Implement data models, join data sources and ensure data quality. Use technology standards (e.g. Python and Spark) to transform data or to marry different systems
  • Apply statistical methods to understand the data, define features to describe the data, and apply machine learning techniques - when meaningful - to enable prediction or gain insights
  • Work closely together with an open-minded data science team with a strong collaboration spirit and other business representatives, who are mainly located in Zurich
What You Bring

  • A PhD or Master in Statistics, Mathematics, Computer Science or another quantitative field
  • Experience in design and build of data pipelines incl. practical knowhow in SQL and other database solutions
  • Experience in programing with Python and technologies such as Spark or DataBricks to prepare data and extract insights from large data sets
  • Knowledge of different machine learning techniques (e.g. clustering, decision tree models, logistic regression, etc.) as well as their application in financial services industry
  • Demonstrated capabilities with reporting and visualization in Tableau or Power BI
  • Knowhow and experience in cloud implementations, with focus among others on high availability, performance and security requirements are a plus
  • Business fluency in English or German is required

What We Offer

Flexible Work Models
We trust our employees – that’s why you can arrange your work-from-home and in-office times with the team flexibly.

Personal Development Programs
You can periodically attend training sessions, in-house classes, SIX Academy seminars, and mentoring or coaching sessions.

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

If you have any questions, please call Sebastian Unger +41 58 399 20 89.

For this vacancy we only accept direct applications.

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

Apply

You Want to Know More?

We will tell you personally how we combine our best sides and what that means for your future at SIX.

Discover SIX