Senior Data & Analytics Engineer

About the Role:

We are looking for an Analytical Engineer to design and deliver comprehensive analytics solutions using Palantir Foundry. In this role, you will own data solutions end-to-end, partnering closely with stakeholders to convert raw data into actionable insights via
scalable pipelines and interactive applications. You will develop robust data transformation pipelines, create web applications, and work collaboratively with product owners and data engineering teams to translate business requirements into effective technical solutions.

Key responsibilities:

. Develop scalable data transformation pipelines using PySpark within Palantir Foundry.
. Build web applications leveraging Foundry-Workshop and PowerBI.
. Translate complex business requirements into clear technical specifications, partnering with Product Owners and Architects.
. Collaborate with data engineers, data scientists, and product owners to deliver endto-end data products.
. Troubleshoot and resolve functional and technical data issues for stakeholders.
. Support emerging AI and machine learning capabilities within analytics solutions.
. Evaluate, prototype, and help adopt new analytics platform capabilities.
. Work effectively within a global, cross-functional team to deliver robust, highimpact data products.
. Develop trusted International Programs insights to enable accurate, data-driven
decision-making.

About You:

You thrive on tackling complex big data challenges and transforming data into valuable strategic assets. With a proactive mindset and a strong sense of ownership, you approach tasks with a can-do attitude. As a self-starter and effective collaborator, you're excited to deliver innovative solutions within a fast-paced, global environment.

Technical Skills:

. A degree in computer science or a related field, with a strong foundation in data engineering and analytics.
. 5+ years of experience in designing and developing data pipelines.
. Proficiency in leading BI tools such as Power BI, Tableau, or QlikView for designing, developing, and deploying dashboards and reports.
. Experience in creating KPIs, metrics, and data visualizations to simplify complex business problems.
. Experience working with large data sets on enterprise data platforms and distributed computing.
. Strong knowledge of SQL, Python and PySpark
. Proficiency in data storytelling
. Demonstrated strength in data modelling, ETL and storage/Data Lake development.
. Experience with TypeScript/JavaScript/HTML/CSS (Beneficial).
. Experience with Palantir Foundry (Beneficial)
. Experience with predictive analytics and machine learning models (Beneficial)
. Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus.

Soft Skills:

. Experience in collaborating and working with global business stakeholders.
. Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments
. Multi-tasking to prioritize, plan, and deliver synchronously
. Desire to understand detailed requirements and facilitate the process of analyzing solution options.