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Senior Data Engineer

2 weeks, 6 days ago
Slovakia, Bulgaria, Czech Republic, Moldova, Romania, Hungary
Lead
Data Engineer
Software Development
AWS Azure Databricks DynamoDB Flink GCP Generative AI Kafka Kubernetes Python Snowflake SQL
Apply Now
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 11

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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