Data Engineer & Analyst – Financial Data Pipelines & Analytics

Join the Future of Financial Intelligence at 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 financial steering within one of the most dynamic logistics environments in the world?

The Financial Intelligence Solutions department for a German speaking country is at the forefront of transforming how financial 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 financial 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.

Key Responsibilities

Data Pipeline Engineering

• Architect, develop, and maintain scalable and resilient data pipelines using Kubeflow and Python, enabling efficient ingestion, transformation, and enrichment of financial and operational data.
• Ensure seamless integration of TM1/Cognos and other multidimensional data sources into Snowflake, converting them into relational formats optimized for reporting and analytics.
  
  
  

Data Modeling & AI/ML Enablement

• Design Snowflake-based data models tailored for AI/ML readiness, supporting predictive analytics, anomaly detection, and automated alerting systems.
• Collaborate with data scientists and business analysts to prepare structured datasets for machine learning use cases and advanced forecasting models.
  
  
  

Analytics & Visualization

• Perform deep-dive data analyses to uncover trends, variances, and opportunities, translating findings into compelling narratives for finance and business teams.
• Build and maintain interactive dashboards and reports using Power BI, ensuring clarity, usability, and real-time insights.
  
  
  

Collaboration & Documentation

• Maintain comprehensive documentation and version control of data workflows, models, and pipelines using GitLab, 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, ideally within financial or controlling environments.
  
  
  

Technical Skills

• Strong proficiency in Kubeflow, Python, Snowflake, and SQL for data pipeline development and modeling (minimum 3 years experience)
• Experience integrating TM1/Cognos (or other business data warehouse technology) into relational databases for analytical consumption (minimum 2 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 GitLab 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.
• Work Options: Onsite only.
• Global Coverage: May require occasional work outside standard hours.
• Performance Metrics: Success measured by response time, resolution rate, and customer satisfaction scores.
  
  
  

Benefits

• Annual Leave: 42 days off apart from Public / National Holidays.
• Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.