Period from: 2025-05-12
Period to: 2025-11-30
Utilization: 100%
Remote work allowed: Yes, 40%

Key responsibilities

• Independently develop and optimize complex data pipelines, ensuring smooth data flow across multiple domains.
• Utilize complex SQL querying techniques to extract, manipulate, and analyze data for various business needs.
• Confidently use programming languages such as Java or Python to write classes, functions, and apply object-oriented programming principles, along with basic unit testing.
• Guide junior Data Engineers on tasks and best practices, effectively delegating to promote team growth.
• Understand business issues, create data-driven solutions, and present them to stakeholders, ensuring alignment with goals.
• Identify optimization opportunities in data systems, plan implementations, and develop risk mitigation strategies.
• Work with stakeholders and teams to drive data initiatives, providing leadership and contributing to the organization’s data strategy.

Qualifications

• Relevant academic degree in any technical field in BSc, BE or a related field
• 3-6 years of working experience in Data Engineering with strong experience in SQL, Python, or similar languages
• Proficient in data modelling, warehousing, pipeline development, and documentation
• Experience with production methodologies, software development principles, and Agile practices
• Understanding of business needs related to the product scope
• Deep understanding of cloud technologies and cloud development, as well as ability to select appropriate (cost-effective) tools for different tasks
• Have a collaborative and co-creative mindset with excellent communication skills
• Motivated to work in an environment that allows you to work and take decisions independently
• Experience in working with data visualization tools
• Fluent in English both written and verbal

Consultant is expected to have Cloud certification at latest 1 month after start, if not already certified.

• Independently develop and optimize complex data pipelines, ensuring smooth data flow across multiple domains.
• Utilize complex SQL querying techniques to extract, manipulate, and analyze data for various business needs.
• Confidently use programming languages such as Java or Python to write classes, functions, and apply object-oriented programming principles, along with basic unit testing.
• Guide junior Data Engineers on tasks and best practices, effectively delegating to promote team growth.
• Understand business issues, create data-driven solutions, and present them to stakeholders, ensuring alignment with goals.
• Identify optimization opportunities in data systems, plan implementations, and develop risk mitigation strategies.
• Work with stakeholders and teams to drive data initiatives, providing leadership and contributing to the organization’s data strategy