Senior - Principal Data Engineer
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Job Description
Senior Data Engineer shaping scalable Databricks data platforms for RevoData, a European Data & AI consultancy. Leading architecture, pipelines, cloud solutions and client-facing technical decisions.
Responsibilities:
- Design, build and shape scalable data platforms
- Make architectural decisions and take ownership of platform outcomes
- Structure Databricks platforms using Delta Lake, Unity Catalog and governance practices
- Orchestrate data workflows and structure code and deployments
- Build and maintain data pipelines from ingestion to consumption
- Develop data solutions using Python, SQL and cloud platforms
- Provide technical leadership and guide decisions between technology and business
- Review work, share knowledge and raise the capability of colleagues
- Work directly with clients to deliver real business value from data platforms
- For candidates new to Databricks, complete a supported 7-month crash course involving certifications, client project work and internal knowledge-sharing, transitioning to a permanent contract upon agreed milestones
Requirements:
- Experience leading or playing a key role in taking data platforms from idea to reality
- Ownership of outcomes and experience making architectural decisions
- Deep understanding of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code structure and deployments
- Experience with Python and SQL
- Knowledge of data modelling and building data pipelines
- Experience with Azure, AWS or GCP
- Experience building ETL/ELT pipelines and cloud-based data solutions
- Ability to define approach, architecture and first steps from vague ambitions
- Ability to balance pragmatism with quality
- Ability to raise the level of colleagues through reviews and discussions
- Ability to influence technical and business decisions and explain trade-offs
- Databricks certifications are nice to have
- Databricks Champion status is nice to have
Benefits:
- Employment in Czechia facilitated through a third-party Employer of Record/payroll provider, in line with Czech employment requirements
- Access to Databricks learning resources, certifications and partner academies
- Regular internal knowledge-sharing sessions and workshops
- Opportunities to work hands-on with Databricks and modern data and AI technologies
- Flexible and collaborative working environment
- Remote and hybrid working options
- International team across Europe
- Growth opportunities for technical expertise, consulting and technical leadership skills
- Regular team activities
- Sustainable ways of working and wellbeing-focused environment
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