Senior Data Engineer (AWS)

We are looking for a Data Engineer to join a project focused on building and scaling modern data platforms in a cloud-based environment.

Your responsibilities

• Develop and manage batch data processing pipelines using AWS-based solutions

• Implement efficient data transformations with Apache Spark and SQL

• Design robust data structures to support reporting and analytical use cases

• Maintain high standards of data quality, availability, and system performance

• Identify and resolve issues within data pipelines, ensuring stability and scalability

• Gather and analyze business needs, translating them into effective technical solutions

• Work in a self-organized manner while collaborating with cross-functional teams.

Requirements

• 4–6 years of professional experience in data engineering

• Strong hands-on skills in SQL and Python

• Practical experience working with AWS services (e.g. S3, Glue, Lambda, Redshift)

• Good understanding of data architecture concepts and best practices

• Experience with CI/CD processes and tools (e.g. GitLab) as well as Infrastructure as Code (Terraform)

• Ability to troubleshoot and solve complex data-related problems

• Experience building and maintaining ETL/ELT workflows

• Familiarity with Agile ways of working

• English proficiency at C1 level.

Nice to have

• Experience with BI tools such as Power BI

• Strong sense of ownership and accountability

• Proactive attitude and willingness to improve existing solutions

• Good communication skills and ability to work with stakeholders