5656 2 x Mid+/Senior Flink Data Engineer

Our company is a global digital platform operating at massive scale, serving hundreds of millions of users worldwide. We focus on building consumer-facing subscription products that connect users with content creators through personalized, data-driven experiences. Our culture emphasizes collaboration, experimentation, and engineering excellence in a highly distributed, cloud-native environment.

• Strong hands-on experience with Apache Flink, especially development using the DataStream API
• Proven experience maintaining and upgrading Flink environments, ideally with exposure to Flink 2.0
• Deep understanding of streaming pipeline architecture, performance tuning, state management, and fault tolerance
• Experience migrating large-scale datasets from BigQuery (BQ) to Data Cloud Storage (DCS)
• Strong proficiency in data format conversion, particularly Avro to Parquet
• Ability to design, scale, and automate migration workflows while ensuring data integrity and minimal service disruption
• Solid knowledge of Google Cloud Platform (GCP) and its data services
• Good understanding of distributed systems, schema evolution, and storage optimization strategies
• Ability to break down complex migration and platform challenges into clear, actionable steps
• Proactive mindset with strong ownership of solutions and risk identification
• Clear and effective communication skills, especially in explaining technical topics to non-technical stakeholders

Nice to have:

• Interest in and familiarity with emerging AI-driven practices, with a willingness to explore and experiment beyond standard approaches
• Experience working on high-scale, consumer-facing data platforms
• Background in long-running migration programs involving multiple data sources and formats
• Familiarity with observability, monitoring, and alerting for streaming systems
• Practical experience using AI-powered assistants to improve productivity, quality, or decision-making in software delivery

• Developing and enhancing real-time streaming pipelines using Apache Flink
• Migrating existing Flink jobs using the DataStream API and adapting them to newer platform standards
• Leading and executing the upgrade of the Flink platform to version 2.0
• Designing, optimizing, and maintaining high-throughput, fault-tolerant streaming architectures
• Migrating large-scale datasets from BigQuery (BQ) to Data Cloud Storage (DCS)
• Scaling and automating ongoing data migration processes to support growing data volumes
• Converting datasets from Avro to Parquet format with emphasis on performance, schema evolution, and storage optimization
• Leveraging AI-powered tools to accelerate migration, validation, and transformation workflows
• Ensuring data quality, integrity, and minimal downtime during migrations
• Collaborating with cross-functional teams and effectively communicating technical concepts to non-technical stakeholders

Remote from Poland