About Us:
We are seeking experienced senior software engineers who possess a deep passion for technology and an eagerness to tackle complex technical challenges. You have a strong interest in leveraging AI and cutting-edge methodologies to drive efficiency and precision in your work. A strong commitment to the organization's growth and the advancement of its internal ventures is critical. You care about your project, but also about communities and their development. Sharing best practices with engineering communities across projects is paramount to you. You must demonstrate a commitment to continuous learning, allocating time to acquire new skills and obtain certifications to validate your expertise and experience.
Project Description:
We're looking for a Data Engineer to join a high-impact team building robust, cloud-native data infrastructure that supports machine learning and analytics workflows at scale. This role is ideal for someone who has hands-on experience with Databricks, enjoys building efficient and scalable data pipelines, and is eager to grow their platform skills in a dynamic, multi-cloud environment.
Responsibilities:
* Build and maintain scalable ETL/ELT pipelines on Databricks using Spark, Delta Lake, and Python.
* Develop orchestration logic using tools such as AWS Step Functions, Lambda, or Databricks Workflows.
* Contribute to medallion architecture layers (Bronze, Silver, Gold) for structured data processing.
* Collaborate on infrastructure provisioning and pipeline automation using Terraform and GitHub Actions.
* Troubleshoot Spark job performance and help ensure reliable, efficient data pipelines.
* Support cross-functional teams (data scientists, ML engineers) by delivering curated, production-ready data.
To be successful in this position, you should have the following skills:
* 3–6 years of experience in data engineering or data platform roles.
* Solid experience with Databricks and Delta Lake, including job and cluster setup.
* Strong in PySpark, SQL, and scripting for data transformation.
* Familiarity with AWS services: S3, Lambda, Step Functions, IAM, CloudWatch.
* Exposure to CI/CD practices and infrastructure automation using Terraform.
Nice-to-Have Skills:
* Familiarity with Unity Catalog, MLflow, or other MLOps tools.
* Experience designing pipelines in multi-tenant or highly-regulated environments.
What We Offer:
* Flexible working hours
* Coworking space financial coverage
* B2B benefits
* Paid days off annually
* Workspace program: $2500 for work equipment of your choice.
* English language lessons on all levels
* Performance financial incentives for the people who demonstrate interest in company development.
* Paid courses and certifications: example AWS, CKA, ML certifications
* Participation at international conferences: like CNCF Summits, Kubecon, others