Tech Stack
Job Description, Responsibilities & Requirements
About the Position
🚀 Cloud Data Engineer (AWS / Terraform / Python)
Location: Poland (Remote)
Contract: B2B, Full-Time
Join the Future of Digital Tech with Kolomolo
At Kolomolo, we don’t just follow trends - we set them. As a global supplier of IT services and digital modernization solutions, we help businesses embrace cutting-edge technology to optimize their operations. Now, we are growing and looking for fresh talent to grow with us.
Are you proactive, tech-savvy, and eager to build your career in IT? This role could be your perfect fit.
About the Role
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.
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.
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 Have
- 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.
We Offer
- 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).
About the Company
To be leaders in digital modernization by helping companies embrace the latest cutting-edge technologies to optimize their business with the help of our talented experts.
Founded in 2016, Kolomolo has about 100 co-workers and a turnover of 5M.
Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.
Ready for the next step? Apply now and start an exciting journey of growth and innovation with us!