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About Team The role is part of the newly formed Cashflow Enhancement team within the Subledger Input Preparation Product Area at Swiss Re's Finance IT division. The Product Owner is based in Switzerland, leading a global team responsible for developing the next generation of finance business applications. The team uses a Lakehouse architecture with Azure Databricks, Azure Data Factory, Azure Data Lake (Delta Lake), and develops primarily in Python and PySpark for scalable data engineering. Responsibilities Understand business requirements and convert them into technical specifications. Design and implement end-to-end data pipelines by combining input from various data sources. Collaborate with product owners and engineering leads to develop and maintain target architectures and align design decisions across the product area. Take ownership of functional and non-functional requirements, ensuring high levels of automation and performance. Perform peer code reviews, contribute to team discussions, and align solutions with architectural and quality standards. Meet with stakeholders to gather requirements and recommend efficient, scalable solutions. Participate in Agile Scrum and DevOps practices. Contribute to quarterly financial closing cycles and operations. Communicate effectively with customers and coordinate follow-up actions. Requirement 5+ years of experience in designing and implementing end-to-end data pipelines and data models. Proficient in Python, PySpark, and SQL. Experience with Spark-based data lakes and Azure ecosystem (Azure Databricks, Azure Data Factory, Azure Data Lake). Expertise in relational databases such as Oracle or PostgreSQL. Experience with API integrations (REST/SOAP). Strong understanding of data engineering techniques and best practices. Clear communication skills with the ability to explain technical topics to non-technical audiences. Strong problem-solving skills and commitment to quality and timely delivery. Ability to operate in a DevOps environment and contribute to operational support. A strong desire to learn and adapt to emerging technologies. Educational Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.