Cloud Data Engineer (AWS / Terraform / Python)-Bulgaria

Kolomolo

18h • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

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).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed