Senior Data Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Budapest • Hungary
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Job Level
About the role
- Lead the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake.
- Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
- Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.
- Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.
- Drive automation, data quality, and best practices across all data engineering processes and solutions.
- Ensure robust data governance, security, and compliance throughout the data lifecycle.
- Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.
- Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.
Requirements
- 10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.
- Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines.
- Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.
- Strong hands-on experience with Python, Shell scripting, and workflow automation.
- Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases.
- Proven ability to lead, motivate, and develop high-performing teams.
- Strong domain and functional knowledge in finance, investment banking, or related industries.
- Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.
Benefits
- Access our education library with 250,000+ courses, certifications, and learning resources;
- Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth;
- We value flexibility – hybrid work and flexible hours help you maintain a healthy work-life balance;
- We also offer additional benefits such as Employee referral bonus and Company shares program;
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata architectureSQLdata modellingETLdata pipelinesPythonShell scriptingworkflow automationAI/ML
Soft Skills
technical leadershipmentorshipcollaborationcommunicationstakeholder managementrisk managementinnovationteam motivationcontinuous improvementproblem-solving