Data Engineer - Innovation Project (f/m/div.)

Braga, Portugal

Full Time Mid-level / Intermediate EUR 72K - 134K *

Bosch Group

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Posted 13 hours ago

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big:

We are seeking a Data Engineer to design, develop, and maintain data systems and pipelines that empower our business with actionable insights. This role involves working with Big Data environments, focusing on extraction, transformation, and loading (ETL) processes while ensuring data quality, reliability, and alignment with organizational goals.

Develop and Manage Data Pipelines: Build robust data systems and pipelines using Hadoop-based ecosystems and tools like Impala to handle complex data processing needs.
Data Processing and Cleansing: Extract, transform, and organize data from multiple sources, including APIs, while conducting thorough data cleansing and analysis to identify trends, patterns, and issues.
Utilize Advanced Tools and Programming: Leverage tools like Spark and PySpark for efficient data processing and programming languages such as Python for implementing scalable data solutions.
Visualization and Prototyping: Create impactful visualizations and prototypes using Tableau and Power BI to present insights clearly and support data-driven decision-making.
Ensure Quality and Documentation: Apply rigorous quality assurance and testing procedures, document processes thoroughly, and contribute to the engineering knowledge base to enhance data reliability and collaboration.

Qualifications

What distinguishes you:

Education: Degree in IT, Data Science, Computer Science, or a related field.

Experience: Experience in handling and managing data through extraction, transformation, and loading (ETL) processes, and working within a Big Data ecosystem based on Hadoop technologies (e.g., Impala).

Know How:

Expertise in databases and data warehouses.
Proficiency in data processing tools like Spark, including PySpark for efficient processing.
Knowledge of big data ecosystem tools such as HDFS, Hive, Impala, and HBase.
Familiarity with APIs, message brokers, and software interfaces for data integration.
Proficiency in programming languages, with Python as a preferred skill.
Knowledge of data models, data mining, and segmentation techniques.
Advanced skills in data visualization and prototyping tools like Tableau and Power BI.

Languages: Proficient in English.

Working Style and Methods: Strong analytical and organizational skills, with the ability to manage and optimize complex data workflows in a collaborative environment.

Personality: Analytical mindset, attention to detail, collaborative team spirit, and proactive problem-solving approach.