Mid/Senior Backend Data Engineer

This role is part of a Data Infrastructure and Data Platform initiative, embedded within a Data Infrastructure team in the technology industry.

• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• Strong hands-on experience in backend engineering.
• Very good knowledge of Java in data contexts.
• Experience with JVM-based data processing frameworks (e.g. Flink).
• Solid understanding of SQL and experience with cloud analytics (BigQuery).
• Experience with containerized applications and basic Kubernetes knowledge.
• Familiarity with cloud infrastructure in DevOps environments.
• Experience in production-grade data pipeline development.
• Ability to write high-quality, maintainable code.
• Strong autonomy in ambiguous environments.

Nice to have:

• Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
• Experience with data pipelines in Scala/Python.
• Exposure to platform-level engineering.
• Experience working in distributed engineering teams.
• Prior experience in large-scale data pipeline migrations.
• Familiarity with cost optimization in cloud-based workloads.
• Experience with streaming platforms and Lakehouse architectures.

• Implement and support large-scale data pipeline migrations.
• Validate performance, reliability, and cost-efficiency of migrated workloads.
• Contribute to the development of modern data processing stacks.
• Utilize technologies like Flink and Lakehouse architectures.
• Support production-grade data pipelines across the organization.
• Collaborate with platform and infrastructure engineers in a fast-paced environment.