NearForm is seeking a Senior Data Engineer for a remote contract position based in Poland. The Senior Data Engineer will design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, Databricks, and related technologies. You will work with distributed teams to deliver secure, high-performance data solutions and collaborate with data scientists, analysts, and stakeholders to translate business needs into engineering solutions. Key responsibilities include designing, building, and optimizing ETL pipelines for large-scale data ingestion and transformation; developing data platforms and warehousing to support analytics and business intelligence; implementing scalable storage with high availability; improving performance of data processing workflows; ensuring data quality, governance, and compliance; supporting CI/CD for data pipelines; conducting code reviews and promoting best practices in version control, automation, and testing; and helping define structured source control and deployment processes. Requirements: at least 6 years of commercial experience as a data engineer; strong Python and relational database design skills; experience with AWS (ECS, Aurora, ElastiCache); Terraform/Terragrunt fundamentals; practical experience delivering in an agile environment; experience building software collaboratively with pull requests and code reviews; familiarity with data governance, security, and compliance; excellent communication and teamwork. Benefits include remote work with a strong emphasis on work-life balance, flexible working arra

NearForm is seeking a Senior Data Engineer for a remote contract position based in Poland. The Senior Data Engineer will design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, Databricks, and related technologies. You will work with distributed teams to deliver secure, high-performance data solutions and collaborate with data scientists, analysts, and stakeholders to translate business needs into engineering solutions. Key responsibilities include designing, building, and optimizing ETL pipelines for large-scale data ingestion and transformation; developing data platforms and warehousing to support analytics and business intelligence; implementing scalable storage with high availability; improving performance of data processing workflows; ensuring data quality, governance, and compliance; supporting CI/CD for data pipelines; conducting code reviews and promoting best practices in version control, automation, and testing; and helping define structured source control and deployment processes. Requirements: at least 6 years of commercial experience as a data engineer; strong Python and relational database design skills; experience with AWS (ECS, Aurora, ElastiCache); Terraform/Terragrunt fundamentals; practical experience delivering in an agile environment; experience building software collaboratively with pull requests and code reviews; familiarity with data governance, security, and compliance; excellent communication and teamwork. Benefits include remote work with a strong emphasis on work-life balance, flexible working arra