Data Engineering Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineering Manager: Leading and growing a high-performing data engineering team while contributing hands-on to the design and evolution of core data platforms with an accent on lakehouse architecture and scalable data processing. Focus on building reliable, secure, and compliant data pipelines while fostering technical excellence and cross-functional collaboration.
Location: Must be based in Poland (Remote)
Salary: 288,000–432,000 PLN
Company
provides advanced data infrastructure and analytics solutions, focusing on secure, scalable, and compliant data management for complex organizational needs.
What you will do
- Build, mentor, and develop a high-performing data engineering team.
- Contribute hands-on to data pipelines, platform engineering, and architectural design.
- Define and evolve engineering standards to ensure high-quality, reliable, and maintainable software.
- Ensure systems are scalable, efficient, observable, and secure.
- Collaborate with Product, Analytics, and Applied Science teams to shape roadmaps.
- Communicate priorities, risks, and progress clearly to stakeholders.
Requirements
- Must be based in Poland
- 2+ years of experience leading data engineering or software engineering teams.
- Hands-on experience building and operating large-scale data processing systems.
- Competence with Python and SQL.
- Knowledge of lakehouse technologies such as Delta Lake or Apache Iceberg.
- Familiarity with modern data platforms like Databricks or Snowflake.
- Solid understanding of software engineering best practices and CI/CD automation.
Nice to have
- Experience with distributed data processing frameworks like Spark or Flink.
- Experience building self-service analytics or internal data platforms.
- Understanding of AI/ML workflows and data requirements for model development.
Culture & Benefits
- Competitive base salary with annual performance bonus.
- Long-term incentives.
- Commitment to fair and equitable compensation practices.
- Focus on continuous improvement and technical excellence.
- Collaborative and learning-oriented environment.
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