Mercedes-Benz.io GmbH

8 окт

Data Engineer

ориентир по рынку

вакансия зп не указана

в среднем 204 840 ₽

мэтч

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описание

HEY THERE!

We are Mercedes-Benz.io. Our mission is to ignite and build digital solutions for Mercedes-Benz by bringing together a tribe of digital enthusiasts who drive the digital future of mobility.

We believe flexibility and collaboration go hand in hand. With offices in Lisbon and Braga, we offer a flexible hybrid setup, with an average of one day per week in the office. This allows for meaningful in-person collaboration while maintaining the flexibility to work in a way that best supports you and your team.

We do not care about your shoes, as long as you bring the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitise for the sake of being digital, but to create real value. We reflect, challenge the status quo, and stand up for each other. This is why we hire people who want to make an impact.

WHAT IS PLATFORM & DATA

Focuses on building and evolving the technological and data‑driven foundation to enable scalable, efficient, and high‑quality digital products across the organisation. You would be part of the DOH - The Data Operations Hub drives the transformation towards a unified and efficient data ecosystem for Mercedes-Benz Digital Marketing and Sales.

As a Data Engineer within DOH, you will play a key role in building and maintaining the data foundations that power analytics, reporting, and data-driven decision-making across Mercedes-Benz.

задачи

Design and build scalable data pipelines for cleaning, integrating, and transforming large datasets.

Create data processing infrastructure that ensures high-quality data availability for digital analysts and data scientists.

Leverage Azure cloud services including Data Factory, Databricks, and Data Lake Storage to develop robust and scalable data solutions.

Develop dimensional data models and maintain data warehousing solutions that support analytics and reporting needs.

Write efficient and well-tested Python and SQL code for large-scale data processing.

Work extensively with Apache Spark developing and optimizing PySpark code and SQL queries while applying a deep understanding of Spark internals.

Collaborate closely with data analysts and stakeholders to understand business requirements and support data-driven decision-making.

Ensure data governance standards are met by monitoring data quality and implementing best practices for data management.

Support the deployment, monitoring, and maintenance of machine learning pipelines and data solutions in production environments.

Continuously improve platform performance, scalability, and reliability through automation and engineering best practices.

Requirements

Flexible hybrid work model

Open source software

No top‑down hierarchy. We trust in your self‑organization

Colleagues who are smart, driven, and collaborative

An open‑minded and informal culture backed by a global brand

Health insurance and life insurance

Proactive self‑development through international trainings and conferences

Much more cool stuff

THIS IS WHAT OUR PROCESS LOOKS LIKE

Screening Call with our recruiter

Take home challenge (if applicable)

Technical Interview

Culture Interview

Offer

требования

3 to 5 years of hands-on software engineering experience building, maintaining, and optimizing data pipelines.

Strong experience applying software engineering best practices, including object-oriented programming (OOP), test-driven development (TDD), CI/CD and version control.

Proficiency in PySpark and SQL including query optimization and a solid understanding of Spark internals.

Strong Python programming skills for data processing, automation, and scalable data engineering solutions.

Proven expertise with Azure cloud technologies, including Databricks, Data Factory, Azure DevOps, and Data Lake Storage.

Solid experience in dimensional data modelling and data warehousing principles.

Strong analytical and problem-solving skills, with the ability to troubleshoot complex data challenges.

Excellent communication skills and the ability to work effectively with technical and non-technical stakeholders.

A collaborative mindset and the ability to thrive in a fast-paced, team-oriented environment.

Experience with Kubernetes and Docker for containerized applications.

Experience working with Google Analytics data.

Knowledge of machine learning deployment and monitoring practices.

Experience working in large-scale cloud-based data platforms and modern analytics environments.

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 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.

условия

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навыки

ci/cd sql spark python azure devops kubernetes docker google analytics

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