Senior / Principal Data Engineer

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Define the design and operational framework for data platforms.

• Lead or assume responsibility for data platform projects from inception to execution.

• Make architectural choices and enhance platforms over time.

• Create scalable Databricks foundations, including Delta Lake, Unity Catalog, and governance.

• Coordinate data workflows and organize code and deployments.

• Design and construct data flows from data ingestion to consumption.

• Develop and sustain data models, data pipelines, and ETL/ELT solutions.

• Offer technical guidance and elevate colleagues' capabilities through reviews and discussions.

• Question assumptions, articulate trade-offs, and guide decisions with engineers, product owners, and CTOs.

• Assist clients in deriving value from their data and establish scalable platforms for practical business applications.

• For candidates new to Databricks, participate in a 7-month intensive training program that includes certifications, hands-on client project experience, and internal knowledge sharing, transitioning to a permanent role upon achieving agreed-upon milestones.

⛳️ Requirements

• Proven experience in leading or significantly contributing to the development of data platforms from concept to reality.

• Experience in making architectural decisions, owning results, and enhancing platforms.

• Comprehensive knowledge of Databricks, including Delta Lake, Unity Catalog, governance, workflows, code structure, and deployments.

• Candidates new to Databricks with robust data platform experience are encouraged to apply and specialize through the provided track.

• Proficiency in Python and SQL.

• Experience in data modeling and constructing data pipelines.

• Familiarity with Azure, AWS, or GCP.

• Experience in developing ETL/ELT pipelines and cloud-based data solutions.

• Capability to define strategies, architecture, and initial steps for ambiguous data platform projects.

• Ability to balance practical delivery with quality and long-term design considerations.

• Skill in enhancing colleagues' technical abilities through reviews and knowledge sharing.

• Capacity to influence both technical and business decisions while explaining trade-offs.

• Databricks certifications are advantageous, such as Data Engineer Professional and Machine Learning Engineer Professional.

• Having Databricks Champion status is a plus.

🏝️ Benefits

• Access to Databricks learning materials, certifications, and partner academies.

• Regular internal knowledge-sharing sessions and workshops.

• Opportunities to engage hands-on with contemporary data and AI technologies, including Databricks and the broader data engineering ecosystem.

• Flexible and collaborative work environment, offering remote and hybrid working options.

• International team with collaboration opportunities across various industries.

• Growth potential for technical expertise, consulting, and leadership skills.

• Regular team-building activities and chances to connect with colleagues across the wider RevoData team.

• Commitment to sustainable work practices and a focus on employee well-being.