DataOps Engineer

We are looking for a skilled DataOps Engineer to join our team and help design, build, and maintain reliable data processes in a fast-growing AdTech environment. This role sits at the intersection of data engineering, analytics, and operations, ensuring data quality, scalability, and performance across complex systems.

Details

• Location: Remote
• Employment Type: Full-time / Contract
• Start Date: ASAP
• Language Requirements: English (Upper-Intermediate+)

Key Responsibilities

• Design, build, and maintain robust data pipelines and data processing workflows
• Write and optimize complex SQL queries for large-scale datasets
• Develop and maintain data processes and automation using Python
• Ensure data quality, consistency, and reliability across systems
• Collaborate with analytics, product, and engineering teams to support data-driven decision-making
• Troubleshoot data issues and continuously improve performance and scalability
• Work independently, taking ownership of data processes end-to-end

Requirements

• 3+ years of hands-on experience with complex SQL queries
• 2+ years of experience building data processes using Python
• Strong understanding of data workflows, ETL/ELT processes, and data operations
• Relevant technical background (Information Systems, Engineering, Computer Science, or similar)
• Strong analytical thinking and problem-solving skills
• Self-driven, responsible, and comfortable working independently
• Excellent English and communication skills

Nice to Have

• Experience or strong understanding of AdTech / programmatic advertising ecosystems
  (DSPs, SSPs, ad exchanges)
• Experience working with large-scale, high-volume data environments
• Familiarity with cloud-based data platforms and modern data stacks