Design and deliver data engineering solutions, including data lakehouse buildouts and cloud migrations, for EMEA and US customers.
Lead small delivery teams, mentor junior engineers, and support pre-sales processes to compound impact across the organization.
Work with Apache Spark/Databricks on AWS/Azure, manage customer relationships, and communicate technical concepts to non-technical audiences.
DATAPAO is a data engineering and cloud migration consultancy that helps customers solve complex data puzzles. The company emphasizes a high-transparency culture, open feedback, and a strong community, with a focus on innovation and impact.
Design, build, and operate data products that transform raw data into customer-facing insights.
Develop large-scale ETL/ELT pipelines using Apache Spark and PySpark, with workflow orchestration via Airflow or AWS Step Functions.
Work across AWS and GCP infrastructure, incorporating AI-assisted search and LLM-powered features in production.
The partner company builds data-driven intelligence products from unstructured social and public data. It operates with a remote-first, async-friendly culture that emphasizes high autonomy and low bureaucracy.
Enable efficient data access by creating and maintaining data pipelines.
Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
Identify, design and implement improvements to optimize data delivery and automate manual processes.
Eneba is building an open, safe, and sustainable marketplace for gamers, supporting over 20 million active users. They are a fast-growing company that values data-driven decision-making and fosters a healthy data culture across the organization.