Data Engineer (Python & AWS)

Technologies we use

About the project

Your responsibilities

• Develop and maintain AI/ML solutions using Python and popular ML frameworks
• Develop and maintain data pipelines and workflows to support project requirements
• Automate data parsing processes to improve efficiency and scalability
• Develop dbt models to mirror transformations currently implemented in SAP Business Object Data Services and create new transformation logic
• Work with AWS data services to support scalable data processing
• Ensure data integrity, consistency, and quality throughout the entire data lifecycle
• Collaborate with the engineering team to improve data processing architecture and workflows

Our requirements

• At least 3+ years of professional experience in Data Engineering or related data services roles
• Strong expertise in Python for data manipulation and automation
• Hands-on experience with dbt (ELT framework)
• Practical experience working with AWS services for data processing such as Glue, Fargate, Step Functions, Lambda, and Athena
• Familiarity with data pipeline tools and modern data processing technologies
• Experience in automating data parsing solutions
• Ability to work independently in a dynamic and fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Good communication skills and ability to work in a remote and distributed team environment

This is how we organize our work

This is how we work

Team members

This is how we work on a project

Development opportunities we offer

What we offer

• Opportunity to work on modern data engineering projects in the banking sector
• Fully remote working model
• Part-time job agreement based on b2b
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance

Benefits