[Hiring] Senior Data Engineer @Automat-it

Role Description

We’re looking for a Senior Data Engineer to join our growing Data & Analytics practice and build modern data solutions for our customers on AWS. This is a highly hands-on engineering role. You’ll work across different customer environments and data challenges, including:

• Modernizing legacy pipelines and building lakehouse platforms.
• Optimizing analytical workloads and owning smaller data platforms end-to-end.
• Working with various technologies such as Spark, Apache Iceberg, Redshift, Kafka, and OpenSearch.

You won’t be limited to one stack or one long-running product. We’re looking for someone who can take ownership of a data engineering problem, make sound technical decisions, and deliver independently without needing constant direction.

📍 Work location: Ukraine, remote

If you are interested in this opportunity, please submit your CV in English.

Qualifications

• Strong production experience in Data Engineering.
• Deep hands-on experience with Apache Spark / PySpark and distributed data processing.
• Strong Python and SQL skills.
• Hands-on experience building data solutions on AWS.
• Strong understanding of data lakes, lakehouse architectures, ETL/ELT, data modeling, and data processing at scale.
• Experience with analytical databases and data warehouses.
• Understanding of streaming architectures and technologies such as Kafka or Amazon Kinesis.
• Good communication skills in English.

Requirements

• Ability to troubleshoot existing data systems and improve performance and reliability.
• Ability to work autonomously and make pragmatic technical decisions.
• Experience with Apache Iceberg or other modern open table formats.
• Experience with BI and visualization tools such as Amazon QuickSight, Tableau, or Power BI.
• Experience preparing data platforms for ML workloads using services such as Amazon SageMaker.

Benefits

• Clear Progression: Defined career paths from engineering to leadership.
• Continuous Learning: Sponsored AWS certifications and access to internal "Expert-led" knowledge sharing.
• Cutting-Edge Exposure: Early access to beta AWS features and high-level architectural challenges.
• Collaborative and supportive culture with mentorship opportunities.
• Stability of a mature, profitable company with the agility of a startup.