Data Engineer
Esplugues Llobregat, B, ES, 08950
Nestlé
Nestlé is the world's largest food & beverage company. We unlock the power of food to enhance quality of life for everyone, today and for generations to come.We are looking for a Data Engineer to be part of our Nestlé Nespresso Digital and Tech Team.
Position Snapshot
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Location: Nespresso Hub, Barcelona. Spain.
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Type of Contract: Permanent.
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Type of work: Hybrid
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Work Language: Fluent Business English
The Role
We are a dynamic and innovative team at the forefront of leveraging cutting-edge technologies to drive data-driven insights within our organization.
As a Data Engineer you will be a key member of the Data Team, responsible for integrating various data sources and consolidating them into one platform. The role involves leveraging tools and technologies such as Azure, Snowflake, DBT, SQL, Power BI, and Knime for both operational and analytics usage. In this role you will work closely with other team members to ensure data is accessible, reliable, and timely to support the organization’s data-driven decision-making process.
In This Role, You Will:
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Design, construct, install, test and maintain highly scalable data management systems.
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Collaborate with data architects, modelers and IT team members on project goals.
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Develop set processes for data mining, data modeling, and data production.
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Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
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Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.
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Translate complex functional and technical requirements into detailed design.
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Ensure systems meet business requirements and industry practices.
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Integrate new data management technologies and software engineering tools into existing structures.
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Create custom software components and analytics applications.
What We’re Looking For:
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A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree preferred.
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At least five years of experience in data Analytics, data engineering, software engineering, or a similar role.
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Expertise in data modeling, ETL development, and data analysis.
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Experience with DBT, Azure, Snowflake, Power BI, and Knime.
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Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI.
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Experience in programming languages such as SQL, Python.
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Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks).
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Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems.
Extra Skills That Set You Apart:
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Understanding of the online acquisition activities and their impact on eCommerce sites.
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Understanding of Content Management Systems, workflows and optimizations.
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Strong knowledge in SEO optimization.
We offer you:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
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Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
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Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
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Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
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Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
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.
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
The Nespresso story began with a simple but revolutionary idea: enable anyone to create the perfect cup of espresso coffee.
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.
In 2019 we created the digital hub in Barcelona to offer the best customer experience and innovation to B2C and B2B channels.
We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
People are at the heart of our success – all 14,000 of them. We actively cultivate diversity, inclusion and belonging in the workplace. We celebrate individuality, believing that your authenticity and uniqueness can help us to grow and thrive together
Step outside your comfort zone; share your ideas, way of thinking and working to make a difference to the world, every single day. You own a piece of the action – make it count.
Join Nestlé #beaforceforgood
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science CX Data analysis Data Analytics Databricks Data management Data Mining Data pipelines Data warehouse dbt E-commerce Engineering ETL GCP KNIME Machine Learning Pipelines Power BI Python Snowflake SQL
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Yoga
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