Senior Data Engineer

Summary

Join Nearform as a Senior Data Engineer and work remotely from Romania on a permanent, full-time basis. You will design, build, and maintain scalable data platforms and pipelines using technologies like SQL, Python, and Spark. Collaborate with data scientists, analysts, and stakeholders to deliver efficient data solutions. This role requires significant experience in data engineering, agile environments, and various technologies such as Databricks, Snowflake, and cloud platforms. Nearform offers a comprehensive benefits package including an annual bonus, flexible remote work, paid time off, remote working allowance, and training and development allowance.

Requirements

• Significant experience delivering at a Senior Engineer level, specializing in Data engineering
• At least 6 years’ commercial experience
• Practical experience of delivering in an agile environment
• Practical experience and knowledge of developing real-world solutions
• Extensive hands-on experience in some of the following technologies - Databricks, SQL, Python, and Spark for large-scale data processing
• Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar)
• Experience with distributed data processing frameworks (Spark, Hadoop, or similar)
• Deep understanding of ETL processes, data modeling, and schema design
• Strong experience with cloud-based data solutions (AWS, Azure, GCP) and data lake architectures
• Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC)
• Deep understanding of versioning control tools - e.g. Git
• Experience building software collaboratively using pull requests and code reviews
• Familiarity with data governance, security, and compliance best practices
• Excellent communication and collaboration skills
• Professional proficiency in English

Responsibilities

• Design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies
• Design, building, and optimizing data pipelines and ETL processes for large-scale data ingestion and transformation
• Develop and maintain data platforms and warehousing solutions to support analytics and business intelligence needs
• Implement scalable data storage solutions and ensure high availability and performance
• Enhance performance in data processing workflows for maximum speed and scalability
• Collaborate with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions
• Ensure data quality, governance, and compliance across all systems
• Support CI/CD processes for data pipeline deployments and implement best practices in DevOps for data workflows
• Conduct code reviews and enforce best practices in version control, automation, and testing
• Assist with defining structured source code management and deployment processes
• Work with and support Technical Leaders in project execution and timely delivery
• Collaborate with client teams

Benefits

• Annual Company Bonus
• Work Remotely and Flexibly
• Paid Time Off Package - 24 days plus public holidays, sick leave, marriage leave
• Remote Working Allowance - €1250 (equivalent in RON) every 2 years
• Training and Development Allowance - €1000 (equivalent in RON)