Data engineer

Organisation/Department

We are seeking mid-level Data Engineers to build and optimize our client's data pipelines and analytics infrastructure. In this role, you will design and maintain data processing workflows using Databricks, implement medallion architecture patterns, and partner with analytics and business teams to deliver insights through BI dashboards and data products. This is an ideal opportunity to grow your technical skills while taking ownership of impactful data systems.

Job description

• 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

Benefits

• 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.