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

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

Overview

Data Engineer - Central Ops & Services (f/m/x) role at Mercedes-Benz. io.

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.

We offer flexibility to work from our offices in Lisbon or Braga, or remotely from Mainland Portugal. Our tribe is our beating heart, so we often organize company events and gatherings to bring MB. ioneers together. Some events are optional, while others may require your presence.

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 cloud infrastructure and services such as CI/CD Tools, Monitoring & Logging solutions, and many more tools used by our software development teams. Besides providing tools, our teams collaborate closely with the Software Development teams to ensure and increase developer satisfaction by optimizing the platform services. The Teams within the Area enable e. g. Identity Access Management or coherent customer data handling for all users interacting with the digital touchpoints. Our central Service Management Team provides an overarching service management model including processes and tools.

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 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 a defined business impact for stakeholders based on an aligned style guides 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 around to our stakeholders and finally, we build data science use cases to support
- driven product development.

Responsibilities

• 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.

Qualifications

• 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.

Benefits

• 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 …

Process

• Screening Call with our recruiter to get to know your motivation & your experience
• 1st Technical Interview (60 minutes)
• Technical Challenge (to be completed within 6 days)
• 2nd Technical Interview (60 minutes)
• 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
- commerce platform, digital services and aftersales 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 resumé (in English and PDF).

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting

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