Job Summary

BI specialists for a German speaking country are at the forefront of transforming how data drives business decisions. We deliver real-time, business-critical insights across reporting, forecasting, and planning - empowering leadership with the intelligence needed to act with precision and speed. But we don't stop there. We are pioneering the digitalization of processes, integrating cutting-edge technologies and emerging trends to redefine how data creates value.

Our mission is clear: to turn information into impact and unlock measurable business advantage through smart, scalable, and future-proof solutions. What sets us apart is our strong team spirit - a culture of collaboration, mutual support, and shared ambition. If you're a visionary professional with a passion for data-driven strategy, digital innovation, and operational excellence - this is your opportunity to make a difference at scale.

Step into a role where your expertise fuels transformation. Shape the future with us.

Key Responsibilities

- Data Pipeline Engineering. Architect, develop, and maintain scalable and resilient data pipelines using Kubeflow and Python, enabling efficient ingestion, transformation, and enrichment.

- Ensure seamless integration of various internal and external data sources into Snowflake, converting them into relational formats optimized for reporting and analytics.

- Build up operational frameworks for logging and monitoring across data pipelines and systems.

- Data Modeling AI/ML Enablement.

Design

Snowflake-based data models tailored for AI/ML readiness, supporting e.g. predictive analytics, anomaly detection, or automated alerting systems.

- Collaborate with data scientists and business analysts to implement and maintain a robust machine learning life cycle.





- Perform deep-dive data analyses to identify relevant business insights.

- Collaboration Documentation. Maintain comprehensive documentation and version control of data workflows, models, and pipelines using GitHub, ensuring transparency, reproducibility, and team-wide collaboration.

- Actively contribute to data governance initiatives, promoting best practices in data quality, lineage, and compliance.

Education & Experience

- Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related technical discipline. Minimum 3 years of hands-on experience in data engineering or analytics.

Technical Skills

- Robust proficiency in Kubeflow, Python, Snowflake, and SQL for data pipeline development and modeling (minimum 3 years experience).

- Solid understanding of AI/ML readiness, including data structuring, feature engineering, and model preparation.

- Advanced skills in Power BI for data visualization and GitHub for version control and workflow documentation.

Soft Skills

- Excellent analytical thinking and problem-solving capabilities.

- Strong communication skills in English (written and verbal).

- Ability to work independently and collaboratively in cross-functional teams, with a proactive and solution-oriented mindset.

Working Conditions

Schedule: Standard Indian business hours.

Remote Work: On-site only.

Global Coverage: May require occasional work outside standard hours.

Performance Metrics: Success measured by response time, resolution rate, and customer satisfaction scores.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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