Data Engineer II

Are you passionate about turning raw data into powerful insights that drive real business decisions? Do you thrive at the intersection of engineering excellence and cutting-edge AI? If so, we have an exciting opportunity for you to make a meaningful impact at a global scale — right from Hyderabad.

About the Role

As a Data Engineer II, you will be at the heart of our data transformation journey, designing and delivering best-in-class data engineering capabilities that fuel our ambition to become a truly data-driven organization. You will architect, build, and scale analytics solutions within a modern Big Data cloud infrastructure — and you'll do it with a genuine passion for democratizing data across the business and for our customers. If you love applying emerging technologies, embracing AI-assisted development, and solving complex problems that matter, this role is built for you.

Key Responsibilities

• Collaborate with stakeholders — Work closely with Product Owners and Architects to understand requirements, formulate innovative solutions, and evaluate implementation effort with a pragmatic, delivery-focused mindset.

• Build scalable data pipelines — Design, develop, and maintain robust data pipelines and transformation logic using Python/PySpark, SQL, and modern analytics platforms such as Palantir Foundry.

• Deliver actionable insights — Design and implement analytics models and visualizations that translate complex data into clear, business-ready insights.

• Leverage AI technologies — Utilize Palantir AIP and generative AI to enhance analytics solutions, automate workflows, and improve user experiences where appropriate.

• Embrace AI-assisted development — Use tools such as GitHub Copilot or equivalent to improve development efficiency while upholding high engineering standards.

• Drive innovation — Evaluate new platform capabilities, develop prototypes, and help assess their applicability within our solution landscape.

• Contribute to a global team — Collaborate across a geographically distributed development team to co-design and deliver high-quality solutions in an agile environment.

About the Team

Life & Health Data & Analytics Engineering is a strategic technology partner for Swiss Re's Life & Health Reinsurance division. We sit at the forefront of the division's data transformation — building innovative analytical products and capabilities that help the business make smarter, faster, data-driven decisions across the entire value chain.

We are a large, globally distributed team operating within an agile development landscape, united by a shared mission: to unlock the full potential of reinsurance data. From modernizing data infrastructure to delivering cutting-edge analytics, our work directly shapes how the business understands risk, performance, and opportunity. We foster a culture of curiosity, collaboration, and continuous learning — where every team member's contribution counts.

About You

You are energized by the challenge of solving complex big data analytics problems using leading-edge technologies. You have a demonstrated ability to pick up new tools and platforms quickly — especially in the areas of AI, modern analytics, and cloud-native data engineering. You are a self-starter who takes ownership from idea to implementation, with strong problem-solving instincts and a collaborative spirit that thrives in a multicultural, global environment.

We are looking for candidates who meet these requirements:

•  Bachelor's degree (or equivalent) in Computer Science, Data Science, or a related discipline.

•  3–5 years of experience working with large-scale software systems, with a focus on platforms such as Palantir Foundry, Snowflake, or Azure Databricks.

•  ETL/ELT pipeline development — Proven experience designing and building reusable, scalable data pipelines.

•  Python/PySpark proficiency — Hands-on experience using Python/PySpark for data engineering, analytics, or automation.

•  Strong SQL skills — Experience designing performant queries and data models, with a solid understanding of dimensional modeling and data warehousing concepts.

•  Collaborative development practices — Experience working with Git and Agile software delivery methodologies.

•  Global mindset — Demonstrated ability to work effectively in a global, multicultural environment alongside internal and external professionals.

These are additional nice to haves:

• Experience building data pipelines specifically within Palantir Foundry.

• Familiarity with modern analytics platforms such as Databricks, Microsoft Fabric, or Snowflake.

• Experience working with large datasets on enterprise data platforms and distributed computing frameworks (Spark, Hive, or Hadoop).

• Experience using Palantir AIP or other AI/LLM frameworks to develop analytics applications.

• Experience integrating Large Language Models (LLMs) into analytics workflows.

• Exposure to cloud environments such as AWS or Azure.

• Domain knowledge in Insurance, Financial Services, or Finance functions within other industries.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.