Data Engineer

TL;DR

Data Engineer (Data Pipelines): Supporting the design, development, and maintenance of scalable data pipelines and infrastructure. Focus on data integration from various sources, ensuring data quality, and collaborating with data analysts and scientists to understand data requirements.

Location: Flexible work options, including remote and hybrid opportunities

Company

No company description provided.

What you will do

• Assist in the design, development, and maintenance of scalable data pipelines.
• Support data integration from various sources, including databases, APIs, and flat files.
• Help ensure data quality, consistency, and reliability.
• Collaborate with data analysts and data scientists to understand data requirements.
• Participate in code reviews and contribute to technical documentation.
• Monitor and troubleshoot data workflows, resolving issues as they arise.

Requirements

• 1+ years of practical experience or relevant internship in a data-focused role (preferred).
• Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience).
• Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Familiarity with at least one programming language (preferably Python).
• Understanding of ETL concepts and data warehousing fundamentals.
• English level: Intermediate (B1) or higher.

Culture & Benefits

• Technical and non-technical training for professional and personal growth.
• Internal conferences and meetups to learn from industry experts.
• Support and mentorship from an experienced employee to help you professional grow and development.
• Health insurance and sports activities to promote a healthy lifestyle.
• Flexible work options, including remote and hybrid opportunities.
• Work anniversary program and additional vacation days.