Data Engineer, Technical Lead

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:

• Technical Leadership: Spearhead the technical development and architectural design at the global level, focusing on scalability, data integrity, and seamless integration capabilities.
• Stakeholder Engagement: Engage with organizational stakeholders to gather requirements, pinpoint technical gaps, and engineer solutions that enhance data utility and consumer insights.
• Data Integration Strategy: Lead the strategy for integrating diverse data sources and systems across the Data Ecosystem, ensuring robust, secure, and compliant data flows.
• Collaboration & Planning: Collaborate with the Product Manager to detail technical specifications, roadmaps, and quality standards, with an emphasis on achieving top-tier performance, security, and privacy benchmarks.
• Technology Guidance: Direct interactions with Architecture, Application/Platform, and Technical Product teams to guide technology selections, favoring scalable and cost-effective solutions.
• Compliance & Security: Uphold stringent adherence to Mondelēz's Infosec and Privacy standards through proactive engagement with relevant internal teams, applying privacy by design principles throughout the lifecycle.
• Knowledge Sharing & Mentorship: Facilitate knowledge sharing and collaborative problem-solving through workshops and design thinking sessions with global and regional teams, promoting a culture of continuous learning and improvement.

What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Strong knowledge of data needed for Enterprise Operational Planning
• Working knowledge of o9 as a planning tool and its data requirements
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in the usage of analytics techniques to create business impact
• Familiarity with data catalog, metadata, and lineage tools (e.g., Collibra).
• Familiarity with Data Quality rules and tools like Ataccama, and Data observability tools like Datadog.
• Understanding of data governance and data mesh concepts.
• Agile delivery mindset with a strong emphasis on automation and reusability.
• 10-12+ years of experience in any combination of data analytics, data science, business intelligence, and data engineering.
• Hands-on knowledge of analytical and visualization platforms (e.g., Python, R, Power BI, Alteryx, SQL, Databricks etc.)
• Advanced SQL, DAX, and Power BI Desktop development skills
• Experience managing global teams and cross-functional stakeholders in a matrixed organization.

More about this role
Education / Certifications:
B.Tech/MCA/BCA/BSc.IT
Good to have 'Google Professional Data Engineer' and 'DataCamp Data Engineer in Python' Certification
Job specific requirements:

• CPG/FMCG Data Expertise: Demonstrated expertise in cross-functional CPG/FMCG data and domains.
• GCP Proficiency: Proficient in Google Cloud Platform (GCP) services, with hands-on experience in architecting and deploying scalable cloud-based solutions for data processing, reporting, and analytics.
• Data Integration Mastery: Advanced skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner.
• Team Leadership & Project Management: Extensive experience in leading technical teams and managing complex IT projects from conception through to implementation, ensuring alignment with strategic business objectives.
• Data & Integration Technologies: Robust background in data and integration technologies and digital transformation initiatives, with a strong experience in data-driven enterprise transformation programs.
• Communication & Collaboration: Excellent communication skills, capable of articulating technical visions and strategies to a diverse audience, fostering cross-functional collaboration and consensus.
• Strategic & Analytical Thinking: Strategic and analytical thinker, adept at setting technical direction, prioritizing projects, and mobilizing teams to deliver innovative solutions.
• Continuous Learning: Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.
• GCP Analytics & ML (Preferred): Familiarity with GCP's analytics and machine learning services, including BigQuery, Dataflow, AI Platform, and their application in enhancing consumer data insights and personalization efforts.

Travel requirements:

• This role requires 10-15% travel.

Work schedule:

• Standard

Relocation Support Available?
No Relocation support available
Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our succes
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular
Analytics & Modelling
Analytics & Data Science