Job Summary

Our data professionals 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 explicit: to turn information into impact and unlock measurable business advantage through smart, scalable, and future-proof solutions.

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 and 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)

- 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.

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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