Data Engineer Mid (m/f/d)
Mid-level Data Engineer on Körber Group's internal data team in Portugal, designing, building, and optimizing data pipelines and models across the BI landscape. Core tech: SAP Datasphere/Business Data Cloud, Core Data Services, and Databricks, with a focus on ETL/ELT performance, data governance, and analytics enablement.
- Compensation
- Not disclosed
- Location
- Portugal
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
- 3+ years of experience in (SAP) data engineering, data modeling, or analytics
- Experience with SAP data analytics technologies (BDC, Datasphere) and/or Databricks
- Proficiency in SQL, ETL/ELT design, and integration technologies (APIs, OData, CDS Views)
- Strong understanding of data governance, metadata, and data security
- Skilled in data modeling (star schema, snowflake, dimensional models)
- Fluent in English
- Comfortable working in an agile, international environment with strong communication and problem-solving skills
Nice to have
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- German language skills
Full description
Your Role
Our data team empowers the Körber Group with data-driven insights, modern architectures, and scalable analytics solutions.
As a Data Engineer, you will design, develop, and optimize data integration and analytics solutions across our BI landscape, ensuring reliable data flows and enabling informed, data-driven decisions.
Your Responsibilities
- Design, build, and maintain data pipelines and models using SAP technologies (SAP Datasphere/Business Data Cloud, SAP Core Data Services) and Databricks
- Collaborate with Data Architects, Analysts, and Business SMEs to translate requirements into technical solutions.
- Optimize ETL/ELT processes for performance, reliability, and scalability.
- Ensure data governance, quality, and compliance across SAP and integrated systems.
- Evaluate emerging tools and technologies to enhance data architecture and automation.
- Provide technical expertise during platform transformation and modernization initiatives.
- Maintain clear documentation and promote best practices in data engineering.
Your Profile
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- 3+ years of experience in (SAP) data engineering, data modeling, or analytics.
- Experience in SAP data analytics technologies (BDC, Datasphere) and/or Databricks
- Proficiency in SQL, ETL/ELT design, and integration technologies (APIs, OData, CDS Views).
- Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.
- Strong understanding of data governance, metadata, and data security.
- Skilled in data modeling (star schema, snowflake, dimensional models).
- Excellent communication and problem-solving skills; fluent in English (German is a plus).
- Proactive, collaborative, and comfortable working in an agile, international environment.
Your Benefits
- Competitive compensation and annual performance-based bonus.
- Private health and dental insurance plans.
- Flexible working hours and hybrid/remote options.
- Additional vacation days and comprehensive benefits package.
- Learning and professional development opportunities.
- A collaborative, innovative, and people-focused culture.
- Team-building activities and a modern, engaging workplace.
We value diversity and therefore welcome all applicants - regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status.