Data Engineer

Summary

Join GetInData | Part of Xebia, a leading data company, as a Data Engineer. You will design, build, and maintain data infrastructure, collaborating with Platform Engineers to select technologies and troubleshoot issues. Responsibilities include implementing data ingestion processes, creating efficient data models, and ensuring compliance with industry standards. The ideal candidate possesses strong programming skills (Python, SQL), BigQuery experience, and familiarity with GCP and DevOps tools. This 100% remote position offers flexible hours, competitive salary, professional development opportunities, and various benefits.

Requirements

• Proficiency in a programming language like Python and SQL
• Knowledge of the BigQuery DWH platform
• Experience as a programmer and knowledge of software engineering, good principles, practices, and solutions
• Familiarity with cloud Google Cloud Platform (GCP)
• Familiarity with DevOps area and tools - GKE, Docker
• Experience with Version Control System, preferably GIT
• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

Responsibilities

• Work alongside Platform Engineers to assess and choose suitable technologies and tools for the project
• Support and diagnose technical problems of the data processing layer
• Implement intricate data intake procedures
• Construct efficient data models
• Implement and execute policies aligned to the strategic plans of the company concerning used technologies, work organization, etc
• Ensure compliance with industry standards and regulations in terms of security and data privacy applied in the data processing layer
• Provide training and foster knowledge-sharing

Preferred Qualifications

Experience with tools such as Spark or Airflow

Benefits

• Salary: 110 - 160 PLN net + VAT/h B2B (depending on knowledge and experience)
• 100% remote work
• Flexible working hours
• Possibility to work from the office located in the heart of Warsaw
• Opportunity to learn and develop with the best Big Data experts
• International projects
• Possibility of conducting workshops and training
• Co-financing sport card
• Co-financing health care
• All equipment needed for work