Data Engineer

Meet our Team 

The Enterprise Data Analytics team specializes in collecting and integrating data from diverse sources, storing it securely in the enterprise data lake, and maintaining strict data security protocols. Additionally, the team ensures effective data segregation by organizing and categorizing information to enhance accessibility and usability. This meticulous approach enables the team to provide valuable insights and actionable intelligence to internal clients, supporting a wide range of applications, reporting dashboards, and machine learning initiatives.

Comprising 15 professionals, this international team operates across Poland, India, the USA, and Mexico. This geographical diversity fosters a rich blend of cultural perspectives and technical expertise, empowering the team to innovate and address complex global challenges in data analytics.

The Role

We are seeking a highly skilled Data Engineer to play a pivotal role in ingesting data from multiple sources into our Data Lake. The responsibilities include leveraging ETL tools, API integrations, and Python scripts to build and enhance data pipelines while ensuring adherence to coding standards and maintaining robust documentation. The candidate will monitor production processes, troubleshoot issues promptly, and collaborate closely with DevOps and Data teams to ensure seamless data integration and system optimisation.

This is a remote position for candidates based in Poland, with an expectation to work within Polish time zones.

Key Responsibilities

• Ingest data from diverse sources into the enterprise Data Lake using ETL tools, APIs, and Python scripts.
• Maintain, optimise, and enhance existing data pipelines, ensuring compliance with coding standards.
• Document workflows comprehensively and troubleshoot production processes efficiently.
• Collaborate with DevOps and Data teams to ensure smooth integration and high system performance.

Requirements

• 3 to 7 years of hands-on experience in Data Engineering or a related role
• Proficiency in one or more programming languages such as Python
• Hands-on experience with SQL
• Strong experience with ETL processes and tools
• Experience with AWS cloud services

Recruitment Process

1. Screening: 30-minute initial qualifications check.
2. Technical Interview: 1h interview with a Python test, ETL, and cloud technology discussion.
3. Interpersonal Interview: 1h interview focused on teamwork, projects, and problem-solving.