Data Engineer - Central Ops & Services (f/m/x)
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We are Mercedes-Benz. io. Our mission is to ignite and build the digital solutions for Mercedes-Benz by forming a tribe of digital enthusiasts that drive Mercedes-Benz digital future.
Job Description
We offer you flexibility. You can choose to work from our offices in Lisbon or Braga, or remotely from any location in Mainland Portugal. We often organize company events and gatherings to bring MB. ioneers together.
We don’t care about your shoes, as long as you are wearing the right attitude. At Mercedes-Benz. io we walk the talk and make things happen. We do not digitize for the sake of being digital but for a better tomorrow for our customers.
WHAT IS CENTRAL OPS & SERVICES?
At the Central Operations and Services Area, we provide reliable cloud solutions and different technical services to enable Mercedes-Benz digital products to focus on their business purpose.
We build up cloud infrastructure and services such as CI/CD Tools, Monitoring & Logging solutions, and many more tools used by our software development teams.
IN THIS ROLE YOU WILL
One
DNA creates a
- edge data platform for KPI reporting, data analyses, and data science for the digital business of Mercedes-Benz. io. We are responsible for building, maintaining, and enhancing comprehensive data models that covers relevant data sources for more efficient reporting and analysis of our stakeholders.
- Develop & Maintain Data Pipelines: Design, build, and optimize scalable and reliable data pipelines for cleaning, integrating, and transforming large datasets.
- Infrastructure Development: Create and maintain data processing infrastructure to ensure
- quality data supply for digital analysts and data scientists. - Cloud Integration: Leverage Azure cloud services, including Data Factory, Databricks, and Datalake Storage, to deploy robust data solutions.
- Data Modelling: Develop dimensional data models and maintain data warehousing solutions to support analytics and reporting needs.
- Performance Optimization: Write efficient, maintainable, and
- tested Python and SQL code, ensuring optimal performance for
- scale datasets. - Spark Expertise: Work with Apache Spark to write and optimize Py
Spark code and SQL queries, understanding Spark internals for maximum efficiency. - Collaboration: Partner with data analysts, data scientists, and stakeholders to understand data requirements, ensure quality, and support
- driven
- making. - Governance & Quality: Ensure data governance, monitor data quality, and implement best practices for data management.
- Deployment & Monitoring: Support deployment and monitoring of machine learning pipelines and data solutions in production environments.
Job Requirements
TO SUCCEED YOU NEED
- 3+ years of
- on software engineering experience, developing and maintaining data pipelines. - Strong experience with software engineering best practices (OOP, TDD, CI/CD, version control).
- Proficiency with Py
Spark and SQL, including the ability to optimize queries and understand Spark internals. - Proficient in Python for data processing and automation tasks.
- Strong expertise with Azure cloud services, including Databricks, Data Factory, Dev
Ops, and Datalake Storage. - Solid experience in dimensional data modelling and data warehousing principles.
- Knowledge of Kubernetes and Docker for containerized applications.
- Experience with Google Analytics data is a plus.
- Strong
- solving and analytical thinking. - Excellent communication skills to interact with stakeholders and team members effectively.
- Ability to work collaboratively in a
- paced,
- oriented environment.
YOU WILL BE HAPPY WITH
- Open source software
- No
- down hierarchy. We trust in your
- organization - Colleagues that are as smart, hardworking and driven as you
- An amazing
- minded and informal culture with the backup of a giant company like Mercedes-Benz - i
Phone, Mac
Book Pro or Dell (your choice) and
- cancelling headphones - Health insurance for you and your family
- Life insurance
- Proactive
- development in international Trainings and Conferences - Language Training courses
- Brand Connection Perks
- Much more cool stuff …
This Is What Our Process Looks Like
- Screening Call with our recruiter to get to know your motivation & your experience
- Technical Challenge (to be completed within 6 days)
- Technical Interview (1, 5h)
- Culture Interview
- Offer
Mercedes-Benz. io is an equal opportunities employer. We believe that diverse experiences and a broad collective perspective lead to a better company culture and better products.
- Informações detalhadas sobre a oferta de emprego
Empresa: Mercedes-Benz.io Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 12. 10. 2025
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