Middle Data Engineer

Innovation & Engineering HUB

Lisboa

Híbrido

EUR 45 000 - 75 000

Tempo integral

14 dias+

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Competitive compensation package

Flexible work hours

Employee health care

Social benefits

Career development

Resumo da oferta

A leading technology hub in Lisbon is seeking a Middle Data Engineer to create data engineering pipelines and analyze data for autonomous vehicles. Candidates should have a Bachelor's degree and at least 3 years of experience in the field, with skills in Python and SQL. The role offers a competitive compensation package and opportunities for professional development, including flexible work hours in a hybrid model.

Qualificações

At least 3 years of professional experience in data engineering.
Good knowledge of Spark and SQL databases.
Very good English skills, both written and spoken.
Familiarity with CDK and TypeScript; dashboard creation experience.
Experience with observability tools and DevOps/Agile practices.
Excellent English communication and teamwork abilities.

Responsabilidades

Create and run data engineering pipelines using cloud infrastructure.
Analyze, aggregate, and visualize data for future trucks.
Develop methods from ML and AI to improve assessments.
Apply ML/AI methods to improve data assessment and situational understanding.
Maintain cloud-native services and end-to-end ownership of built systems.
Collaborate with other teams to present results and drive improvements.

Conhecimentos

Data analysis

Python

SQL

Spark

ML algorithms

Observability tools

Agile

English communication

Formação académica

Bachelor's degree in related field

Ferramentas

Databricks

AWS

Quicksight

AWS

Descrição da oferta de emprego

Join to apply for the Middle Data Engineer role at Innovation & Engineering HUB.

3 days ago Be among the first 25 applicants

Join to apply for the Middle Data Engineer role at Innovation & Engineering HUB

Direct message the job poster from Innovation & Engineering HUB

Volkswagen Group Services is a Volkswagen Group company oriented towards working for Group companies worldwide.

We provide services in the areas of production, logistics, data engineering (IT), engineering, consulting, quality, business services, human resources, communication and administrative and financial services. We are focused on our clients’ activities and take responsibility for carrying them out on their behalf.

We are currently hiring a Data Engineer to join our I&E HUB in Lisbon.

Who are we?

At the Innovation & Engineering Hub, we develop bold, market-ready solutions that support Volkswagen Group and its leading brands. Together with TRATON Group’s Global R&D — home to brands like Scania, MAN, International, and Volkswagen Caminhões e Ônibus — we’re building the future of intelligent and sustainable transport. Global R&D focuses on:

Alternative Drive Systems
Automated Driving
Road Safety

We’re not just manufacturing vehicles — we’re engineering the future of mobility.

What do we do on our team?

Autonomous vehicles and their surrounding ecosystem are important areas in the strategy of MAN and our partners. Together with digitalization and electrification, they form the building blocks of the future product lineup.

To control, monitor and assist the self driving vehicles on the road, a cloud system is needed which connects and collects from many different data sources. To operate fleets of autonomous commercial vehicles from a central place, the right data needs to be processed and available at the right time at the right place. This helps in establishing the use case for our customers to easily and economically use autonomous vehicles (AV\'s). We are searching people to participate in the creation of this key components to help build the autonomous future.

What will your responsibilities be?

Working in the context of autonomous vehicles you will create and run data engineering pipelines using modern cloud infrastructure.
You will analyze, aggregate and visualize data for usage in our future trucks, using agile methodologies and supporting integral parts of our technical roadmap decisions.
You will create dashboards, reports and data storage, supporting and interacting with our self driving systems to track and improve KPIs.
You analyze, extract and aggregate data generated by a fleet of autonomous vehicles and develop methods from ML and AI to help improve the assessment and assistance of situations.
You take care of cloud native services to improve your daily work.
You will be able to take end to end responsibility for the systems you build, working closely with other departments to explain and present your results.
You advise your team and other teams on all questions around data engineering and ML/AI in the autonomous vehicle area and work together on continuously improving your pipelines, tooling and processes.
You take initiative to solve problems and overcome roadblocks, being the interface between data engineering, software development and the stakeholder. You are a result-oriented individual.
You are happy to learn new technologies and to find innovative and pragmatic remedies.

What requirements are we looking for?

Bachelor\'s degree in related field or comparable job expertise; experience in applying and understanding data engineering patterns and ML algorithms
Ability to analyze, interpret, and visualize data
Proficiency in relevant programming languages (e.g. Python)
Good knowledge of Spark
Advanced knowledge of SQL databases and data management practices
Familiarity with CDK and typescript
Familiarity with dashboard creation
Proficiency in observability tools, e.g. Datadog, Databricks or Quicksight
At least 3 years of professional experience in the field of data engineering
Experience in the DevOps and agile methodology
Very good English skills, both written and spoken
Effective communication and teamwork skills
Team-oriented mindset and strong collaboration skills
Ability to identify and solve technical issues
Willingness to learn and adapt to new technologies
Strong sense of product ownership and drive to deliver top quality work products
Hands-on experience with the analysis of real-world telematic data
Knowledge of AWS usage for data engineering and ML is an advantage (Plus)
Experience with AI frameworks is a plus.
Experience in the automotive industry is a plus.