Senior Data Technology Engineer
Share
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 youwill support our businesswith excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:
- Execute the business analytics agenda in conjunction with analytics team leaders
- Work with best-in-class external partners who leverage analytics tools and processes
- Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
- Execute the business analytics agenda using a methodical approach that conveys to stakeholders what businessanalytics will deliver
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Using data analysis to make recommendations to analytic leaders
- Understanding in best-in-class analytics practices
- Knowledge of Indicators (KPIs) and scorecards
- Knowledge of BI tools like Tableau Excel Alteryx R Python etc. is a plus
More about this role
What you need to know about this position:
The Senior Data Technology Engineer will be a key member of the Data COE within the Technology Enablement team responsible for designing building and optimizing enterprise-scale data onboarding platforms. This role demands deep expertise in Google Cloud Platform (GCP) strong Python development skills and hands-on experience with modern data engineering tools such as Apache Airflow GCP Composer GKE and DataProc.
The engineer will collaborate with cross-functional teams to deliver robust data ingestion transformation and orchestration frameworks ensuring observability governance and automation across the enterprise data ecosystem.
What extra ingredients you will bring:
- Design develop and optimize scalable data onboarding solutions.
- Implement reusable components for data ingestion transformation and orchestration.
- Build backend services and APIs in Python to support data engineering workflows.
- Collaborate with platform engineers and product owners to gather requirements and deliver fit-for-purpose solutions.
- Integrate observability monitoring and logging into data pipelines for reliability and transparency.
- Ensure adherence to best practices in software engineering DevOps and cloud-native development.
- Contribute to CI/CD pipeline setup automated testing and deployment strategies for data engineering projects.
- Mentor junior engineers and promote knowledge sharing across teams.
Education / Certifications:
- Bachelors or Masters degree in Computer Science Engineering or related discipline.
- 6 years of data engineering experience with at least 5 years working with Python PySpark GCP BigQuery and Databricks.
- Backend development experience in Python with exposure to microservices architecture.
- Experience with data engineering tools such as Apache Airflow Kafka Spark Delta Lake and DBT.
- Familiarity with GCP cloud platforms containerization (Docker Kubernetes) and DevOps practices.
- Strong understanding of CI/CD pipelines testing frameworks and software observability.
- Ability to work cross-functionally and influence without direct authority.
Job specific requirements:
- Proven experience with building internal development platforms.
- Familiarity with data quality rules and tools (e.g. Ataccama) and observability tools (e.g. Datadog).
- Understanding of data governance and data mesh concepts.
- Strong debugging and problem-solving skills.
- Self-motivated innovative and eager to explore new solutions.
- Agile delivery mindset with strong emphasis on automation and reusability.
- Cloud Platform: GCP
- Data Warehousing: BigQuery
- Containerization: Docker Kubernetes
- CI/CD & DevOps: CI/CD pipelines testing frameworks software observability
- Data Governance: Collibra Ataccama Datadog metadata management lineage tools data mesh concepts
- Data Engineering Tools: DBT Apache Airflow Databricks
Business Unit Summary
At Mondelēz International our purpose is to empower people to snack right by offering the right snack for the right moment made the right way. That means delivering a broad range of delicious high-quality snacks that nourish lifes moments made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo belVita and LU biscuits; Cadbury Dairy Milk Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits chocolate and candy and the second top position in gum.
Our 80000 makers and bakers are located in more than80countries and we sell our products in over150countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happenand happen fast.
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.
Job Type
RegularAnalytics & ModellingAnalytics & Data ScienceRequired Experience:
Senior IC
Key Skills
About Company
Mondelēz International, Inc. empowers people to snack right in over 150 countries around the world. We're leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. ... View more
