👉 Flink Data Engineer

🟣 You will be:

• 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 attention to 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 clearly communicating technical concepts to non-technical stakeholders.

🟣 Your profile:

• strong hands-on experience with Apache Flink, including development using the DataStream API,

• proven experience maintaining and upgrading Flink environments, ideally including 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 when explaining technical topics to non-technical stakeholders,

• understanding of how machine learning or intelligent automation can be applied to optimize and monitor data workflows,

• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

🟣 Nice to have:

• 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,

• 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.

Work from the European Union region and a work permit are required.

🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budget of up to 6,800 PLN,

• we fund certifications e.g.: AWS, Azure, ISTQB, PSM,

• access to Udemy, Safari Books Online and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Library,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• flexible working hours,

• B2B or permanent contract,

• contract for an indefinite period.