Senior Data Platform Engineer

Stack

Responsibilities

• ▹Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• ▹Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools
• ▹Engineer self-service features that empower data engineers and analysts to manage their own data assets
• ▹Improve the Data Developer Experience (DataDevEx) for anyone interacting with the data platform
• ▹Implement and enforce data modeling standards and best practices through automated tools
• ▹Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness
• ▹Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD
• ▹Contribute to the platform's roadmap, identifying and prioritizing features

Requirements

• ▹Strong software engineering fundamentals, with experience in Python or Java
• ▹Experience building reusable frameworks, libraries, or internal tools
• ▹Experience with modern cloud database technologies such as Snowflake and Redshift
• ▹Deep knowledge of SQL and data integration patterns
• ▹Knowledge of AWS services like S3, Glue, Lambda, DMS, and RDS
• ▹Familiarity with data concepts and data modeling techniques (Inmon, Kimball, Data Vault)
• ▹Excellent verbal and written English communication skills
• ▹University degree in Computer Science, Engineering or equivalent
• ▹At least 3 years experience in Data Engineering or at least 1 year experience in Data Platform Engineering

Nice to have

• ▹Experience orchestrating data pipelines with tools like Airflow
• ▹Experience building or managing APIs and microservices
• ▹Familiarity with infrastructure scripting like Terraform and CI/CD practices
• ▹Familiarity with data streaming technologies such as Kafka
• ▹Familiarity with software versioning tools like Git

What we offer

• ▹Fitness-wellness allowance
• ▹Company mobile phone for private use with 100 GB data
• ▹Annual HUF devaluation compensation
• ▹Hybrid model: 3 days in the office, 2 days from home
• ▹Private health insurance
• ▹Career development
• ▹Technical and soft-skill training opportunities
• ▹Breakfast, fruits and lunch
• ▹Team building events