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Data Engineer (Dbt)
Posted on Aug. 19, 2026
- Ka, India
- 0 - 0 USD (yearly)
- Full Time
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We are looking for a Data Engineer to be part of our Nestlé Nespresso Digital and Tech Team. At Nespresso, our Digital & Tech teams are at the heart of our innovation journey, a space where we continue to invest, evolve, and grow.
Position Snapshot:
- Location: Bengaluru, Karnataka, India
- Type of Contract: Permanent
- Grade: Band 2
- Type of work: Hybrid
- Work Language: Fluent Business English
The Role:
As a Data Engineer, you will play a pivotal role in designing, building, and maintaining highly scalable data management systems that enable Nespresso’s data-driven decision-making. You will integrate diverse data sources into a unified platform, ensuring data accessibility, reliability, and compliance with security standards. This role requires strong collaboration with data architects, modelers, and cross-functional teams to deliver robust data solutions that support advanced analytics, personalization, and marketing automation across global markets.
- Design, construct, install, test, and maintain scalable data pipelines and management systems.
- Develop and optimize data pipelines using modern orchestration tools (e.g., Airflow, dbt, ADF).
- Develop and maintain data warehouse transformations using dbt and modern data warehousing techniques such as dimensional modeling, incremental processing.
- Collaborate with data architects and IT teams to translate complex requirements into detailed designs.
- Ensure compliance with internal security and regulatory standards across all data processes.
- Integrate new data management technologies and software engineering tools into existing structures.
- Create custom software components and analytics applications to support business intelligence needs.
- Monitor pipeline stability and performance, implementing remediation plans when necessary.
- Provide data-access tools and visualization capabilities for non-technical users.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
- 4+ years of experience in data engineering or data-intensive development roles.
- Expertise in SQL, Python, and experience with CI/CD processes and Git.
- Strong knowledge of data modeling, ETL processes, and data integration techniques.
- Hands-on experience with Azure Data Factory, Snowflake, and containerized solutions (Docker).
- Hands-on experience with orchestration tools like Apache Airflow and dbt.
- Solid understanding of data science concepts, ML frameworks, and big data technologies (Hadoop, Spark).
- Ability to manage competing priorities and deliver projects within deadlines.
Extra Skills That Set You Apart:
- Experience with streaming data processes and real-time analytics (Kafka, Flink).
- Focus on performance optimization, cost monitoring.
- Experience with BI tools (Power BI preferred) and data visualization.
- Familiarity with marketing, eCommerce, and media data sources and their use cases.
We Offer You:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
- Flexible work policies including core hours and options for working from home. Discuss with us during the recruitment process to understand what flexibility could look like for you!
- Genuine opportunities for career and personal development through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
- Modern "smart office" locations providing agile workspaces. Our state-of-the-art campus is equipped with areas to co-create, network, and chill!
- International, dynamic & inclusive working environment with attractive additional benefits.
- The pride to work for a B Corp certified company and one of the world’s most trusted brands.
The Hiring Process:
Your Application: Submit your application, and we'll review it carefully (make sure your CV is in English as the hiring team is international).- Initial Screening: Relevant candidates will be contacted by our Talent Acquisition team for an initial interview.
- Hiring Manager Interview: Selected candidates will then meet with the hiring manager to discuss the role and their experience in more detail.
- Stakeholder Interview: Candidates will engage with potential team members to assess fit and collaboration.
- Leadership & HRBP Interaction: Candidates will have a discussion with our leadership team & HRBP.
- Feedback: After interviews, we provide feedback to all candidates.
- Job Offer: Successful candidates will receive a formal offer.
- First Working Day: Once the offer is accepted, we’ll welcome you on your first day!
About Nespresso:
Since 1986, Nespresso has redefined and revolutionized the way millions of people enjoy their coffee.
We are a Company committed with the Climate change and we aim to achieve carbon neutrality as soon as possible and net-zero GHG emissions by 2050 at the latest.
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