Lead Data Engineer / Consultant

Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector.

• Proven experience as a Lead Data Engineer, Data Engineering Consultant or similar role.
• Strong hands-on experience with Hadoop, Spark and Splunk.
• Advanced Python skills with experience in ETL pipeline development.
• Strong knowledge of SQL and NoSQL technologies.
• Experience designing and implementing enterprise-scale data platforms and ingestion frameworks.
• Strong understanding of data modeling and data architecture principles.
• Experience with CI/CD practices and version control systems.
• Excellent analytical and problem-solving skills.
• Ability to manage multiple technical initiatives and stakeholders simultaneously.
• Strong communication and stakeholder management skills.
• Experience mentoring and developing engineering teams.
• Knowledge of Agile methodologies (Scrum, Kanban) will be an advantage.
• Understanding of risk management, compliance and governance in engineering processes.

Nice to have:

• Ability to promote innovation and adoption of modern technologies and best practices.
• Integrity, inclusiveness and cultural awareness.
• Capability to influence stakeholders and represent technical expertise internally and externally.

• Design, build and deliver scalable data engineering solutions in enterprise environments.
• Lead the development and optimization of ETL/ELT pipelines and data integration frameworks.
• Work extensively with Hadoop, Spark and Splunk ecosystems.
• Develop robust data processing solutions using Python.
• Manage the full lifecycle of data ingestion, transformation and delivery.
• Handle raw, structured, semi-structured and unstructured data across SQL and NoSQL platforms.
• Collaborate closely with BI, Analytics and business stakeholders to deliver data-driven solutions.
• Implement and maintain CI/CD pipelines and source control best practices.
• Ensure high standards of service resilience, sustainability and governance within data engineering solutions.
• Lead technical projects and provide guidance, coaching and mentoring to junior engineers.
• Drive quality through unit testing, integration testing and automated testing frameworks.
• Identify, analyze and solve complex data challenges in fast-paced environments.