Junior Data Engineer

Entry-level data engineering role focused on building and maintaining data pipelines and infrastructure. Involves working with modern data platforms and contributing to data-driven solutions for clients.

This is a development-focused data engineering role for someone with strong SQL and Python skills who is looking to grow into a well-rounded Data Engineer. The position emphasizes hands-on technical development and problem-solving within a data engineering context.

This is a junior data engineering role focused on building and shipping production data pipelines for a large-scale ad-tech platform. The engineer will design and implement ingestion, storage, and processing for near-real-time and batch workloads, build Python services/APIs, and manage operational databases. The role requires strong Python/SQL skills, hands-on database experience, and a focus on reliability, monitoring, and data quality.

This role focuses on developing and deploying machine learning models to solve business problems. The engineer will work with data pipelines, model training, and integration into production systems, requiring proficiency in Python and ML frameworks.

Responsible for the reporting environment of the PRDCT platform, translating client data requirements into technical solutions. Requires affinity with data visualization, SQL knowledge, and analytical skills; Power BI is a plus. No experience required, but a solution-oriented attitude is essential.

Responsible for renewing and maintaining the PRDCT Platform, developing software to automate rollout at clients, and managing/building web applications. Requires Python, Linux/Bash, and Git; Ansible, Docker/Kubernetes, PostgreSQL, and Angular are a plus. Eagerness to learn microservices architecture is key.