Remote Data Jobs • SQL

We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you’ll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.

As a Data Engineer, you will be a fundamental part of the team, working on the development and automation of data ingestion processes. Your main responsibilities include automating data flows, documenting and mapping processes, and collaborating with the team to ensure efficient data processing.

This role is responsible for scheduling, orchestrating, and executing big data workflows and jobs using next-generation Data Workflow Orchestration platforms to meet needs for scale and speed. You will build fully managed workflows, enabling high throughput, horizontal scalability, and advanced parametrized, event-based scheduling. Your team will build an ETL framework for incremental data processing for increased data accuracy, freshness, and easy backfill to directly impact the cost and operational efficiency of Analytics and ML.

The data scientist will lead a cross-functional team to develop an AI-powered solution that breaks down barriers to healthcare. By leveraging cutting-edge technologies, including LLMs from Google and Anthropic, the data scientist will analyze patient information and automatically generate accurate responses to complex forms. The ideal candidate will combine strong technical expertise with excellent communication skills and a passion for continuous learning.

Seeking an experienced and highly skilled Business Intelligence (BI) Developer who can translate complex data into actionable insights, and also take ownership of BI solutions from development through deployment. The ideal candidate will have hands-on, in-depth experience with Power BI, data modeling, and a strong business acumen, coupled with the critical soft skills that ensure high-quality solutions.

As an analytics engineer you will be responsible for both implementing new analytics infrastructure and making improvements to our existing systems. You will ensure delivery of solutions on-schedule following modern best practices, using DBT, continuous integration, linting and testing. This position requires you to deliver clean, maintainable, and extensible code and interface with operators to understand their needs.

Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.

Data Analytics Intern based remotely in a European timezone. Requires strong interest in data, a proactive mindset, and sharp analytical thinking.

This is a contract opportunity with potential to extend or convert and seeking a Mid-Level Data Engineer to support data design and delivery within Risk Assurance Data and System projects. The ideal candidate is an independent, technically adept professional who can identify and lead data engineering initiatives. You will work closely with data analysts, IT teams, and business partners to ensure optimal data pipeline and model development.

Design and optimize secure, scalable data pipelines and cloud data warehouse solutions. It’s ideal for someone who thrives in fast-moving environments, values clean architecture, and collaborates well across both technical and non-technical teams.