Senior Data Engineer

Description

• Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks.
• Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.
• Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.
• Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations.
• Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives.
• Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high quality.
• Developing and maintain tooling and automation scripts to streamline repetitive tasks.
• Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes.
• Utilizing REST APIs and other integration techniques to connect various data sources.
• Maintaining documentation, including data flow diagrams, technical specifications, and processes.

Requirements

• Bachelor’s/Master’s Degree in Computer Science, Mathematics or a related discipline.
• 7+ years of experience in data engineering.
• Proficiency in Python programming, including experience in writing efficient and maintainable code.
• Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines.
• Proficiency in working with Snowflake or similar cloud-based data warehousing solutions.
• Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices.
• Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.
• Knowledge of Linux operating systems.
• Familiarity with REST APIs and integration techniques.
• Experience with code versioning tools (e.g., Git).
• Meticulous attention to detail and a passion for problem solving.
• A good command of English and in general good communication skills.
• Strong analytical and problem solving skills.
• Strong collaboration and communication skills.
• Hungarian citizenship and fluent Hungarian/English language skills is a must.

Advantages

• Familiarity with data visualization tools and libraries (e.g., Power BI).
• Background in database administration or performance tuning.
• Familiarity with data orchestration tools, such as Apache Airflow
• Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing.

Benefits

• You will have the opportunity to gain experience in exciting, long-term, innovative projects,
• Work in a multinational environment,
• A team of great engineers,
• Cafeteria.