We are looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. You will work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions. You will also connect disparate datasets to empower internal and external stakeholders.
As the Senior Analytics Engineer, you will be responsible for transforming complex data from various sources into clean, reliable, and business-ready data models that power decisions across the entire organization. You will own the "T" in our ELT process, applying software engineering rigor to the analytics workflow within our modern data stack (Snowflake, dbt, Fivetran).
As a Senior Analytics Engineer, you'll join a small, dynamic, and fully remote data team. You’ll play a pivotal role in shaping their data culture and strategy, transforming raw data into trusted, actionable insights. You will take full ownership of the analytics lifecycle, from source to insight, working directly with stakeholders to drive the business forward.
Autonomously take ownership of the A/B testing cycle on Paper.io 2, validating feature values, refining key parameters, and optimizing monetization to drive core KPIs. Lead analysis of large, complex datasets to uncover player behaviors and growth opportunities. Translate data insights into clear, actionable recommendations that shape game design and the product roadmap.
Design, develop, and maintain scalable, secure, and high-performance data platforms. Build and manage data pipelines (ETL/ELT) using tools such as Apache Airflow, DBT, SQLMesh or similar. Architect and optimize lakehouse solutions (e.g., Iceberg). Lead the design and implementation of data infrastructure components (streaming, batch processing, orchestration, lineage, observability).
We're seeking a talented Senior Data Platform Engineer to join our team! You'll own and extend the data platform, build customer pipelines, design and maintain service interfaces, run infrastructure in Kubernetes, manage event flows, and champion observability & reliability. You will also collaborate across the company, pair with Data Ops engineers, work with Product managers, and review code.
You will be responsible for building a private cloud solution for the government in one of the countries in Western Europe. In addition to building, the focus is also on migration and maintenance of the created solution.
The Senior Manager for Cytiva is responsible for leading a team of AI/ML professionals, providing technical guidance and apply strategic vision to drive projects that enhance business outcomes. This position is part of the Data and Analytics Team located in Poland and will be on-site in Krakow or remote across Poland.
The project requires data acquisition into Azure, creating data pipelines, normalize JSON data into relational format, model and design table structures. Analyzing data and identifying relationships is crucial, as is matching the data with another dataset to find patterns and relationships. The role involves creating combined datasets by using various matching and merging techniques and logics, building APIs to search the data, and building lightweight UI to enable search functionality for users.
Deliver solutions by writing ETL packages, developing visualizations, performing data and statistical analyses, data warehouse and analytic solutions and administering systems to deliver information to the health system. Gather and scope requirements and recommend analytical solutions to meet business needs. Serve as a functional and content expert of pipelines to allow synthesizing of raw data into actionable information, including healthcare claims and eligibility data.