Data Engineer (f/m/div.) Lisboa

Data Engineer (f/m/div.)
Lisboa
Lisboa, Lisboa, Portugal

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At Bosch, we are seeking a skilled Data Engineer to enhance our team. This role is pivotal in leveraging data to optimize HR processes and inform strategic
- making.

Key Responsibilities:

• Utilize SQL, PL/SQL, Python, and other tools for data manipulation, analysis, and visualization.
• Design and implement data models (e. g. , Data Vault, Star Schemas) for efficient data warehousing.
• Manage ETL processes to extract, transform, and load data into the warehouse.
• Develop insightful data visualizations using Power BI, SAP Analytics Cloud, Oracle APEX, and Python libraries.
• Develop and maintain scalable ETL pipelines connecting various source systems to data lakes and lakehouse architectures.
• Work with Databricks, Apache Spark, and Py
  Spark to process
  - scale data efficiently.
• Collaborate with stakeholders to understand requirements and propose
  - driven solutions.
• Lead and coordinate technical teams to ensure project delivery within timelines and quality standards.
• Apply Agile methodologies (e. g. , Scrum) to facilitate iterative development and continuous improvement.
• Stay updated on industry trends and advancements in data analytics to drive innovation within the organization.

At Bosch, we are seeking a skilled Data Engineer to enhance our team. This role is pivotal in leveraging data to optimize HR processes and inform strategic
- making.

Key Responsibilities:

• Utilize SQL, PL/SQL, Python, and other tools for data manipulation, analysis, and visualization.
• Design and implement data models (e. g. , Data Vault, Star Schemas) for efficient data warehousing.
• Manage ETL processes to extract, transform, and load data into the warehouse.
• Develop insightful data visualizations using Power BI, SAP Analytics Cloud, Oracle APEX, and Python libraries.
• Develop and maintain scalable ETL pipelines connecting various source systems to data lakes and lakehouse architectures.
• Work with Databricks, Apache Spark, and Py
  Spark to process
  - scale data efficiently.
• Collaborate with stakeholders to understand requirements and propose
  - driven solutions.
• Lead and coordinate technical teams to ensure project delivery within timelines and quality standards.
• Apply Agile methodologies (e. g. , Scrum) to facilitate iterative development and continuous improvement.
• Stay updated on industry trends and advancements in data analytics to drive innovation within the organization.

Education:

• Bachelor's degree in Electrotechnical and Computers Engineering, Computer Science, Information Technology, Data Science, or related fields.

Experience:

• Minimum of 3 years of experience in data analytics, data engineering, or a similar role, preferably within HR or IT domains.

Technical Skills:

• Proficiency in SQL, PL/SQL, Python, and data manipulation techniques.
• Experience with data warehousing concepts and data modeling (e. g. , Data Vault, Star Schemas).
• Strong knowledge of ETL processes and tools.
• Ability to create compelling data visualizations using tools like Power BI, SAP Analytics Cloud, Oracle APEX, and Python libraries.
• Familiarity with database systems such as Oracle SQL and SQL Server.
• Hands-on experience with data lake and lakehouse environments, including Databricks and Apache Spark (Py
  Spark).
• Proficiency in developing robust ETL pipelines to integrate heterogeneous data sources into centralized data platforms.
• Basic understanding of machine learning algorithms, predictive analytics techniques, and experience with tools such as Databricks, Talend, CPI, and BODS is a plus.

Soft Skills:

• Strong analytical and
  - solving skills.
• Effective communication and stakeholder management skills.
• Adaptability to changing requirements and technologies.
• Strategic thinking and ability to align technical solutions with business objectives.
• Commitment to continuous learning and professional development in data analytics and IT.
• Team-oriented with a collaborative approach to achieving project success.

Join Bosch and contribute to our culture of innovation, quality, and excellence. Apply now and be a part of a team that leverages data analytics to drive HR processes and business growth forward!

Work #Like
ABosch includes:

Flexible work conditions | Hybrid work system | Exchange with colleagues around the world | Health insurance and medical office on site (general clinic) | Training opportunities (p. e. , technical training, foreign languages training) & certifications | Access to great discounts in partnerships and Bosch products | Sports and health related activities (gym) | Great access to public transports | Canteen

Success stories don´t just happen. They are made. . .

Make it happen. We are looking forward to your application!