Senior Data Engineer (m/f/d)

July 4

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SkyCell AG

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Safe. Secure. Sustainable.

Pharmaceutical Logistics • Biologics Logistics • API Logistics • Temperature Control • Emerging Markets

51 - 200

Description

• Design, build, and maintain scalable data pipelines • Design, develop, and maintain databases • Optimize and monitor database performance • Develop efficient workflows and automate business processes • Provide analytical support • Develop and maintain interactive dashboards • Integrate and manage data from multiple sources • Implement data quality checks and validation processes • Implement data security measures • Investigate and provide solutions for data issues • Collaborate with stakeholders and cross-functional teams • Participate in code reviews and enforce best practices • Evaluate and recommend new tools and technologies • Document data engineering processes and architectures • Act as a technical advisor and provide guidance • Mentor and guide junior engineers

Requirements

• Bachelor's degree in Information Technology, Computer Science or a related field (Master Degree is a plus) • Experience with data modelling and visualization tools • 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 • Ability to design and implement data models • Understanding of data security principles and practices • Ability to work collaboratively in a team environment • Excellent problem-solving skills • 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