About the Role
The role involves developing and managing data workflows, ensuring data accuracy, and supporting analytics needs across systems using modern data engineering practices.
Responsibilities
- Design and implement data pipelines for efficient data ingestion and transformation
- Maintain and optimize data storage solutions for performance and reliability
- Collaborate with analytics teams to support reporting and business intelligence needs
- Ensure data quality and integrity across all processing stages
- Monitor data workflows for errors and resolve issues promptly
- Develop and maintain documentation for data systems and processes
- Support the integration of data from multiple sources into unified systems
- Work with cloud-based data platforms and services
- Implement data security and access controls
- Participate in code reviews and technical discussions
- Troubleshoot and resolve data-related incidents
- Contribute to the evolution of data architecture
- Use version control systems for data pipeline code management
- Automate repetitive data engineering tasks
- Ensure compliance with data governance standards
- Optimize queries and data models for performance
- Work with structured and semi-structured data formats
- Support data warehouse operations and maintenance
- Apply software engineering principles to data infrastructure
- Stay current with data engineering tools and best practices
- Collaborate with cross-functional teams on data requirements
- Contribute to system scalability and reliability improvements
- Participate in planning and estimating engineering tasks
- Use monitoring tools to track data pipeline health
- Support testing and validation of data solutions
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote, within Europe
Team
Collaborative team focused on scalable data solutions
Tech Stack
Uses modern cloud data platforms, Python-based ETL tools, SQL-based analytics engines, and infrastructure-as-code practices to manage scalable data systems
Application Process
Applicants must submit a resume and cover letter demonstrating relevant experience in data engineering and system design
Not available; candidates must be based in Europe
