DATA ENGINEER - DIGITAL RISK INSIGHTS (HYBRID SET UP)

Join a team of digital risk governance and security professionals, helping Swiss Re to fulfil its mission in making the world more resilient.
As the Data Engineer, you'll own the creation of data engineering pipelines to support our processes and derive informative insights.
What's more, you'll be working in a hybrid setup, perfectly balancing work from home and the office premises.
About the team   The team you'll join, Digital Risk Insights, is responsible bringing insights from the dynamically changing world of digital and technology risks – both within and outside Swiss Re.
We aim to establish a "single source of truth" on our exposures, what we can do to mitigate them, and how we can measure our progress.
For this, we combine our collective expertise, curiosity, and actively seek out effective data-driven solutions.
We are part of the Security Team, which is the focal point for all security activities across Swiss Re.
We are responsible for cybersecurity engineering and operations, governance, risk and compliance.
We define and advance the company's security and digital risk governance and control strategy.
In your role, you will…   Be the subject matter expert for data and integration related topics Transform business requirements into technical specifications Design & build data models across multiple data sources Build data pipelines to ingest data from source to enterprise data platforms Establish and maintain an end-to-end "data blueprint" and keep relevant documentation up to date  Contribute to the creation of comprehensive reporting solutions (self-service reports, dashboards) for our team and customers Evaluate the effectiveness of reports and identify areas for improvement (including data quality checks and validation rules)  Take on troubleshooting activities, ensure timely customer communication and coordinate follow-up activities Join Swiss Re's healthy and transparent risk culture where everyone engages in continuous risk accountability activities     Your qualifications   Nobody is perfect and meets 100% of our requirements.
If you, however, meet some of the criteria below and are curious about the world of business analysis, we'll be more than happy to meet you!     What we need from you Bachelor or Master's Degree in a relevant field, e.
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Computer Science, Mathematics, Engineering, Statistics or other is an advantage At least 3 years of experience in data engineering/ data modelling, database design and programming   Strong track record of working with data engineering techniques and modern programming languages, analytical platforms (proficient in Python, PySpark, SQL) Feel comfortable working in complex corporate environment  Problem-solving skills and commitment to quality and timely delivery Excellent verbal and written skills in English Passion, drive, and a belief in the value of data insights as an enabler of business performance   Nice-to-have Prior knowledge in cybersecurity, risk management, privacy and related topics Prior experience with Palantir Foundry as target platform  Hands-on experience with statistical models and analysis/ data science Hands-on experience with incorporating new technologies into solution design, such as NLP/ machine learning  Experience implementing advanced UI design Experience working in an Agile setup      About Swiss Re   Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient.
We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.
Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.
This is possible thanks to the collaboration of more than employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.
We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.
In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
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