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Senior Data Engineer

1 month, 2 weeks ago
Slovakia, Bulgaria, Czech Republic, Hungary, Moldova, Romania
Lead
Data Engineer
Software Development
AWS Azure Databricks DynamoDB Flink GCP Generative AI Kafka Kubernetes Python Snowflake SQL
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Xebia

Xebia

Xebia is a pioneering IT consultancy company specializing in Continuous Delivery, DevOps, Agile Consulting, and Digital Transformation Services, creating digital leaders through innovative solutions.

Internet Software & Services
1K-5K
Founded 2008
View All Jobs 16

Description

  • Design and build consumable data assets (data products) on the client’s AWS data platform with defined schemas, documentation, and ownership.
  • Work with product engineering teams and platform users to define data contracts and domain ownership.
  • Onboard bronze and silver layer data from existing data warehouses using internal tooling.
  • Build tooling that speeds up adoption of the data platform.
  • Develop streaming and batch pipelines using Flink, SQL, Python, Kafka, Iceberg, DynamoDB, and AWS.
  • Help engineering teams debug pipeline and batch job issues.
  • Promote engineering best practices through practical guidance and collaboration.
  • Act as a bridge between teams, using pairing, reviews, and hands-on support to raise data engineering standards.
  • Own technical initiatives and drive them through to completion.

Requirements

  • Solid data engineering background built on large-scale data platforms and big data workloads.
  • Hands-on experience with stream processing, event-driven architecture, and schema management.
  • Strong streaming experience plus practical batch data engineering experience.
  • Working knowledge of AWS, including experience standing up streaming pipelines and batch jobs.
  • Practical experience with Kafka, Iceberg, DynamoDB, and core AWS services.
  • Exposure to Apache Flink using SQL or Python (PyFlink), with ability to become productive within weeks.
  • Strong stakeholder management and communication skills.
  • Experience at Lead Engineer level, including setting technical direction and owning outcomes end to end.
  • Fluent English, written and spoken.
  • Practical experience using AI-powered assistants such as Claude Code, GitHub Copilot, or Cursor.
  • Must work from the European Union region and have a valid work permit.
  • Practical experience with AI-assisted engineering or agentic tooling for data onboarding, tooling, or pipeline development (nice to have).
  • Exposure to data mesh concepts, including data products, data contracts, domain ownership, and federated governance (nice to have).
  • Awareness of Kubernetes at a level that helps you understand how the platform runs (nice to have).
  • Experience in a data platform enablement or internal developer experience role (nice to have).
  • Background in high-volume operational or transactional environments where data volume and latency matter (nice to have).
  • Experience applying GenAI in a structured way within the SDLC, such as workflows, prompt patterns, or tool integrations (nice to have).
  • Interest in emerging AI-driven practices such as agent-based workflows, automation patterns, and AI-augmented development (nice to have).

Interested in this position?

Apply directly on the company website

Apply Now

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