Remote Senior Data Engineer (remote, m/f/d)

Description:

• Design, build, and maintain scalable data pipelines to collect, process, and store data from diverse sources
• Design, develop, and maintain databases to store and organize large volumes of structured and unstructured data
• Optimize and monitor database performance, ensuring efficient data retrieval and storage
• Develop efficient workflows and automate business processes around data
• Provide analytical support by extracting, transforming and interpreting data from various data sources
• Develop and maintain interactive dashboards
• Integrate and manage data from multiple data sources and ensure data consistency and quality
• Implement data quality checks and validation processes to ensure accurate and reliable data
• Implement data security measures and ensure compliance with data governance policies
• Investigate and support the business in providing solutions for data issues
• Collaborate directly with the business stakeholders to implement solutions addressing their needs
• Collaborate with cross-functional teams, including data scientists, analysts, and other software engineers
• Participate in code reviews and enforce best practices and coding standards
• Evaluate and recommend new tools and technologies to improve data engineering practices
• Document data engineering processes, data flows, and system architectures clearly and comprehensively
• Act as a technical advisor and provide guidance to other teams and department
• Mentor and guide junior engineers on the team

Requirements:

• Bachelor’s degree in Information Technology, Computer Science with a or a related field (Master Degree is a plus)
• Experience with data modelling and visualization tools commonly used in the team's tech stack
• Good knowledge of relational or NoSQL databases
• Experience with BI reporting tools
• Knowledge of at least one data analysis language (Python, R, etc.)
• Experience with ETL tools (SSIS, Azure Data Factory, etc.)
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud for building and deploying data solutions
• Ability to design and implement data models to ensure efficient storage, retrieval, and analysis of structured and unstructured data
• Understanding of data security principles and practices to ensure the protection of sensitive information
• Ability to work collaboratively in a team environment and manage multiple priorities
• Excellent problem-solving skills for addressing complex data challenges
• Language: English

Benefits:

• Remote working
• Flexible working hours for work/life balance
• Interdisciplinary and varied projects
• Diverse and global work culture/ environment
• Possibility to work for an environmentally conscious company
• Unique opportunity to actively shape processes