Data Engineer - Central Ops & Services (f/m/x)

Job Description

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.

Hey There!

We offer flexibility: choose to work from our offices in Lisbon or Braga, or remotely from any location in Mainland Portugal. Our tribe is our beating heart, so we often organize company events and gatherings to bring MB. ioneers together. While some events are optional, we require your presence for certain team events and/or occasions.

We don’t care about your shoes, as long as you wear the right attitude. At Mercedes-Benz. io we walk the talk and make things happen. We digitize for a better tomorrow for our customers – that’s not our job, it’s our passion. We love to reflect, challenge, and innovate – the status quo, Mercedes‑Benz, and ourselves. We share the same beliefs, stand up for each other, and hire unique people to join our tribe.

What is Central Ops & Services?

At the Central Operations and Services Area, we provide reliable cloud solutions and technical services to enable Mercedes‑Benz digital products to focus on their business purpose. We build cloud infrastructure and services such as CI/CD tools, monitoring & logging solutions, and many more tools used by our software development teams. Besides just providing tools, we collaborate closely with the Software Development teams to increase developer satisfaction by optimizing platform services.

The teams in this area enable, for example, Identity Access Management or coherent customer data handling for all users interacting with digital touchpoints. Our central Service Management Team provides a comprehensive service management model, including processes and tools.

In This Role You Will

One
DNA creates a cutting‑edge data platform for KPI reporting, data analyses, and data science for the digital business of Mercedes‑Benz. io. We build, maintain, and enhance comprehensive data models that cover relevant data sources for more efficient reporting and analysis of our stakeholders. We define and maintain KPI frameworks to ensure governance and enforcement. Our team builds and maintains dashboards with business impact for stakeholders based on an aligned style guide and offer trainings. We ensure an efficient data sharing process in e
Xtollo for our data models, including documentation. Our team also offers consulting and enablement to stakeholders and builds data science use cases to support data‑driven product development.

• Develop & maintain data pipelines: design, build, and optimize scalable and reliable pipelines for cleaning, integrating, and transforming large datasets.
• Infrastructure development: create and maintain data processing infrastructure to ensure high‑quality data supply for digital analysts and data scientists.
• Cloud integration: leverage Azure cloud services, including Data Factory, Databricks, and Data Lake 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 well‑tested Python and SQL code, ensuring optimal performance for large‑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 data‑driven decision‑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 hands‑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 query optimization and Spark internals.
• Proficient in Python for data processing and automation tasks.
• Strong expertise with Azure cloud services, including Databricks, Data Factory, Dev
  Ops, and Data Lake 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 problem‑solving and analytical thinking.
• Excellent communication skills to interact with stakeholders and team members effectively.
• Ability to work collaboratively in a fast‑paced, team‑oriented environment.

You Will Be Happy With

• Open source software
• No top‑down hierarchy – we trust in your self‑organization
• Colleagues that are as smart, hardworking, and driven as you
• An amazing open‑minded and informal culture backed by a giant company like Mercedes‑Benz
• An i
  Phone, Mac
  Book Pro or Dell (your choice) and noise‑cancelling headphones
• Health insurance for you and your family
• Life insurance
• Proactive self‑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 & experience
• Technical challenge (to be completed within 6 days)
• Technical interview (1, 5 h)
• Culture interview
• Offer

What You'll Need to Know About Us

Mercedes‑Benz. io develops software and technology for the digital platforms of Mercedes‑Benz. Our main products are the Mercedes‑Benz Website worldwide, the e‑commerce platform, digital services and after‑sales solutions.

We have a fantastic team with people from all over the world. We encourage frequent collaboration and pairing across disciplines. English is the main working language.

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.

Please send your résumé (in English and PDF).