Data engineer

• High Technical Impact: A unique professional challenge to shape the core data platform for a stable, market-leading global enterprise.

• Competitive Compensation

• Benefits Package: Cafeteria allowance and private health insurance package.

• Flexibility: Hybrid working model requiring 2 days of office presence (Budapest) and offering 3 days of Home Office per week.

Responsibilities

• Translate business questions into reliable data products - from requirements through delivery and iteration
• Develop and optimize SQL queries, materialized views, and pre-aggregated summaries to keep dashboard latency and cost in check
• Build ETL and ELT processes for ingesting, transforming, and validating data from multiple sources
• Build and maintain gold and published-layer datasets for analytics and BI consumption
• Partner with analytics and BI teams to prepare curated datasets for embedded analytics (e.g., Omni) and BI dashboards (e.g., Power BI)
• Monitor data pipeline health, troubleshoot failures, and implement alerting and observability solutions
• Ensure data quality, accuracy, and consistency across all pipeline stages
• Participate in code reviews, documentation, and knowledge sharing with the team

Requirements

Required Qualifications

• 3-7 years of professional data engineering experience
• Strong proficiency in SQL; demonstrated ability to write and optimize complex queries
• Hands-on experience with Databricks; working knowledge of Apache Spark fundamentals
• Solid understanding of data warehouse and data lake concepts and architecture patterns
• Experience designing and implementing ETL/ELT pipelines
• Proficiency in at least one programming language (Python, Scala, or similar)
• Experience with AWS (or another major cloud) - S3 / object storage, IAM, and secret management
• Understanding of data quality, validation, and testing principles
• Strong problem-solving skills and ability to work independently with guidance

Preferred Qualifications

• Experience implementing medallion architecture patterns (bronze/silver/gold layers)
• Familiarity with Delta Lake and its transactional capabilities
• Experience preparing data for BI tools (Power BI, embedded analytics like Omni) or creating data models for analytics
• Working knowledge of Delta Lake and Delta Live Tables (DLT) - declarative pipelines, expectations, incremental processing
• Certification in Databricks for ‘Data Analyst’, ‘Data Engineer’, ‘ML Engineer’
• Experience with version control (Git) and CI/CD best practices
• Understanding of data governance, metadata management, and data cataloging
• Exposure to streaming data and real-time pipeline requirements
• Experience optimizing costs in cloud data platforms

Technical Skills

• SQL (intermediate to advanced)
• Databricks and Apache Spark
• Python or Scala
• Data pipeline design and implementation
• Data quality and validation
• Cloud platforms (AWS, Azure, or GCP)
• BI design and dashboards
• Relational and non-relational databases