[Hiring] Cloud Data Engineer @Kolomolo

Role Description

We are seeking an experienced Cloud Data Engineer (3+ years) to join our engineering team for a long-term project focused on building and optimizing cloud-based data infrastructure. This position is not about data science or analytics; it is about designing, implementing, and automating data platforms and pipelines that ensure reliability, scalability, and performance in AWS environments.

You will play a key role in designing and deploying the data infrastructure supporting Kolomolo’s modernization stack. Your work will focus on building Terraform-based AWS deployments, ensuring smooth data ingestion, transformation, enrichment, and validation.

• Designing and implementing Infrastructure as Code (IaC) using Terraform for AWS services.
• Building data processing pipelines and automating workflows for ingestion, transformation, and validation.
• Handling data enrichment and data integrity checks across multiple formats (e.g., Parquet, JSON, CSV).
• Integrating data intake from relational databases (SQL, PostgreSQL, etc.) and graph-based data sources (e.g., Neo4j, Amazon Neptune).
• Developing and maintaining Python-based data orchestration tools and scripts.
• Working with containerized environments (Docker, Kubernetes) to enable scalable deployments.
• Supporting continuous improvement and optimization of cloud infrastructure performance and cost.

Qualifications

• Proven experience as a Data Engineer or Cloud Engineer in AWS environments.
• Strong knowledge of Terraform and IaC practices.
• Hands-on experience with AWS core services (S3, Lambda, Glue, ECS/EKS, Redshift, etc.).
• Proficiency in Python for automation, scripting, and data workflows.
• Understanding of ETL/ELT processes, data enrichment, and validation frameworks.
• Experience working with containerization tools (Docker, Kubernetes).
• Familiarity with multiple data formats, including Parquet.
• Exposure to both relational and graph data models.
• Good communication skills and experience collaborating in Agile/Scrum teams.
• Experience with Databricks, Snowflake, or data lake architectures.
• Knowledge of monitoring and observability tools (e.g., CloudWatch, Grafana, Prometheus).
• Experience with CI/CD pipelines for data workflows.

Benefits

• Competitive salary and benefits.
• Career development opportunities in a growing tech company.
• Continuous learning culture: mentorship, internal training, and certifications.
• Flexible, agile work environment (remote, hybrid, or on-site in Kraków).
• Office perks: great coffee, tea, fresh fruit, snacks, and a fun atmosphere.
• Flat management structure, where your voice matters.
• Regular team events and a social, supportive work culture.
• B2B contract or Contract of Mandate (Umowa Zlecenie).