Data Engineer

Key Responsibilities

Data Engineering & Architecture

• Design and maintain robust, scalable data pipelines using Kubeflow, Python, and Snowflake, ensuring optimal performance and reliability.
• Follow best practice standards for deployment and the use of CI/CD tools.
• Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management.
• Expertise in Requirements engineering and refinement
• Build efficient and scalable data models ensuring optimal query performance and responsiveness.
• Ensure seamless data flow across ingestion layers, data models, and visualization outputs.

Analytics & Visualization

• Conduct in depth data analysis to identify trends, variances, and improvement opportunities, transforming insights into clear and actionable recommendations for business stakeholders.
• Translate complex datasets into actionable insights through Power BI dashboards.
• Apply DAX and Power Query techniques to create dynamic, user friendly, and high performance visualizations for operational and analytical use cases.
• Collaborate with business stakeholders, strategy, and IT stakeholders to define KPIs, reporting standards, and analytical models that support strategic decision-making.
• Perform ad-hoc analysis and maintenance tasks.

Collaboration & Documentation

• Maintain version control, documentation, and workflow traceability in GitHub to ensure transparency, reproducibility, and collaboration across teams.
• Work closely with business stakeholders to gather requirements, validate outputs, and iteratively refine solutions.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum 3 years of experience in data engineering, analytics, or business intelligence

Technical Skills

• Experience in Kubeflow / Similar Orchestrator tool (mandatory), Python (mandatory), and Snowflake (or similar DBMS)
• Experience working with GitHub including its CI/CD capabilities
• Experience in developing, evaluating and serving ML and AI solutions preferably
• Experience in Power BI or similar applications (e.g. Tableau) preferable
• Strong understanding of data structures and reporting standards
• Proficiency with Microsoft Office 365 tools (Excel, Word, PowerPoint, Outlook), including advanced Excel functions for analysis and reporting.

Soft Skills

• Excellent communication and stakeholder management skills in English; German language skills are an advantage.
• Strategic mindset with a hands-on approach to problem-solving and innovation.
• Proactive, detail oriented, and effective in cross functional team environments.

Working Conditions

• Schedule: Standard Indian business hours.
• Work Model: On‑site.
• Global Collaboration: May require occasional work outside of standard hours.
  • Performance Metrics: Success measured through response time, resolution rate, and customer satisfaction scores.