Cloud Data Engineer – AWS, Terraform, Python

Job not on LinkedIn

🕒 March 20

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Kolomolo

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Kolomolo is a leading IT consultancy firm based in Stockholm, Sweden, and Krakow, Poland, specializing in cloud computing, AI, and IoT. The company aims to be a leader in digital modernization, helping other companies leverage cutting-edge technologies through their expertise in AWS cloud solutions and innovative technological applications. With a skilled team of over 50 professionals, Kolomolo serves large corporations primarily in the Nordics and the US, providing tailored and cost-effective solutions while maintaining a commitment to customer satisfaction and high-quality service delivery.

📋 Description

• 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

🎯 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 • 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)