Solution Architect Financial Data & Analytics

Job Summary

Join the future of DHL. DHL Group, the logistics provider of the world, with over 580,000 employees in more than 220 countries and territories. We are an organization that is not just moving goods around; we have a very clear purpose, and we are: Connecting People. Improving Lives. We provide challenges and opportunities for personal and professional development. We recognize the difference you bring to our business and together we share the pride of building one of the largest world leaders in logistics and supply chain. Are you ready to shape the next generation of steering within one of the most dynamic logistics environments in the world? Our 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. We believe that the best ideas emerge when diverse minds come together, and we foster an environment where everyone contributes to shaping the future. 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.

Responsibilities

• Leadership Strategy. Lead, mentor, and develop a high-performing Data Analytics team, fostering a culture of innovation, accountability, and continuous improvement.
• Act as the primary liaison between the delivery team and the German core team, ensuring alignment on priorities, timelines, and quality standards.
• Define and execute the data strategy in alignment with broader financial and IT governance objectives.
• Data Engineering Architecture. Architect and maintain robust, scalable data pipelines using Kubeflow, Python, and Snowflake, ensuring optimal performance and reliability.
• Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management.
• Expertise in Requirements engineering and refinement.
• Analytics Visualization. Translate complex datasets into actionable insights through advanced Power BI dashboards and Power Automate workflows.
• Collaborate with business stakeholders to define KPIs, reporting standards, and analytical models that support strategic decision-making.
• AI/ML Enablement Documentation. Drive AI/ML readiness by implementing robust data models and feature engineering pipelines.
• Ensure comprehensive documentation and version control using GitLab, promoting transparency, reproducibility, and maintainability across projects.

Education and Experience

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum 7 years of experience in data engineering, analytics, or business intelligence, with at least 3 years in a technical leadership role.

Technical Skills

• Kubeflow, Python, and Snowflake for data pipeline development and orchestration (minimum 3 years experience).
• Advanced skills in Power BI, and GitHub (minimum 3 years experience).
• Strong understanding of data structures, reporting standards, and domain-specific analytics.

Soft Skills

• Excellent communication and stakeholder management skills in English.
• Proven ability to lead cross-functional teams and manage complex projects in a dynamic environment.
• Strategic mindset with a hands-on approach to problem-solving and innovation.

Working Conditions

• Schedule: Standard 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.