Senior Data Engineer

The Role

We are seeking a Senior Data Engineer to build and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong hands-on experience with cloud data technologies and modern data engineering practices.

What you will do

Main responsibilities (coding/maintenance/bug fixing/meetings/other):

• Data Pipeline Development
  
  • Build and maintain ETL/ELT pipelines using AWS Glue and Python
    
  • Implement incremental data ingestion and batch data processing workflows
    
  • Develop Change Data Capture (CDC) solutions using AWS DMS and Kafka
    
  • Create data transformation components in dbt for data conformance and quality
    
• Cloud Data Infrastructure
  
  • Deploy and manage data infrastructure using AWS services
    
  • Set up and maintain streaming data pipelines with Kafka
    
  • Configure and optimize Snowflake data warehouse environments
    
  • Implement Infrastructure as Code using Terraform
    
• Database Management&Integration
  
  • Work with multiple database systems including PostgreSQL, MySQL, and MS SQL Server, Snowflake
  • Perform Snowflake performance tuning and optimization
    
  • Implement database connectivity and data movement solutions
  • Manage data modeling for analytical workloads
    
• Monitoring & Operations
  
  • Implement monitoring and alerting for data pipelines
    
  • Troubleshoot data quality issues and pipeline failures
    
  • Manage secrets and credentials using AWS Secrets Manager
    
  • Ensure data security with encryption and access controls

Future Growth Opportunities:

• Opportunity to evaluate and implement Snowflake OpenFlow as a potential replacement for AWS DMS.
• Participation in architecture decisions and platform evolution.
• Growth path toward data architecture responsibilities.

Requirements

Technical Skills

• Programming: Strong Python and SQL skills
  
• Cloud: Hands-on AWS experience, particularly with AWS Glue and AWS DMS
  
• Data Warehouse: dbt, Snowflake experience, including performance optimization
  
• Databases: Working knowledge of PostgreSQL, MySQL, MS SQL Server
  
• Streaming: Experience with Kafka for real-time data processing
  
• Infrastructure: Terraform
  
• DevOps: Understanding of CICD pipelines and Infrastructure as Code
• Data Engineering Experience
• 4+ years of data engineering experience
  
• Strong background in ETL/ELT pipeline development
  
• Experience with CDC and real-time data integration
  
• Knowledge of data modeling and warehouse design principles
  
• Experience with batch and incremental data processing (SCD)
• Familiarity with GraphQL APIs
• Experience with AWS Secrets Manager
• Knowledge of data governance and access control practices
• Understanding of monitoring and operational best practices

What we offer

• Hybrid/flexible working model and flexible working hours
• Private Medical and/or Health Insurance (location dependent)
• Length of Service Awards
• Referral programme
• The option of a cafeteria package, meal tickets, or team lunches (location dependent)
• A culture of continuous growth, supported by our People Lead system and various training resources for your personal development
• Agile mindset, simplified processes, and a great atmosphere where commitment and autonomy are celebrated
• A community-first mindset, working with talented people across technology products and consulting
• Charity events and programs

Additional benefits based on location:

Hungary:

Extensive cafeteria package tailored to your needs (including SZÉP card)

Romania:

Bookster library subscription, and the opportunity to work from abroad (max. 60 days per annum)

(*) As we hire permanent employees for this role, we offer remote opportunities only in Romania and Hungary.

About us

Zenitech is a leading technology solutions provider dedicated to reshaping the global digital land