Data Engineer Mid (m/f/d)
At a glance
Mid-level Data Engineering role at Körber Group. Porto.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after data pipelines and models with SAP Datasphere, SAP Core Data Services and Databricks
- Turn requests from architects, analysts and business specialists into technical data solutions
- Improve ETL/ELT workflows so they run reliably and scale effectively
- Protect data quality, governance and compliance across SAP and connected systems
- Document engineering practices and contribute technical input to platform modernization
What you bring
- At least three years working in SAP data engineering, data modeling or analytics
- Hands-on experience with SAP analytics tools such as Datasphere, or with Databricks
- A degree in computer science, engineering, information systems or a related subject
- Working knowledge of SQL, ETL/ELT design and integrations such as APIs, OData or CDS Views
Who this fits
This mid-level role suits someone comfortable collaborating across technical and business teams in an agile, international setting. English fluency is required; German is an advantage. The position is based in Porto, Portugal.
From the employer
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
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Design, build, and maintain data pipelines and models using SAP technologies (SAP Datasphere/Business Data Cloud, SAP Core Data Services) and Databricks
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Collaborate with Data Architects, Analysts, and Business SMEs to translate requirements into technical solutions.
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Optimize ETL/ELT processes for performance, reliability, and scalability.
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Ensure data governance, quality, and compliance across SAP and integrated systems.
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Evaluate emerging tools and technologies to enhance data architecture and automation.
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Provide technical expertise during platform transformation and modernization initiatives.
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Maintain clear documentation and promote best practices in data engineering.
Your Profile
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Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
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3+ years of experience in (SAP) data engineering, data modeling, or analytics.
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Experience in SAP data analytics technologies (BDC, Datasphere) and/or Databricks
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Proficiency in SQL, ETL/ELT design, and integration technologies (APIs, OData, CDS Views).
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Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.
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Strong understanding of data governance, metadata, and data security.
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Skilled in data modeling (star schema, snowflake, dimensional models).
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Excellent communication and problem-solving skills; fluent in English (German is a plus).
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Proactive, collaborative, and comfortable working in an agile, international environment.
Your Benefits
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Competitive compensation and annual performance-based bonus.
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Private health and dental insurance plans.
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Flexible working hours and hybrid/remote options.
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Additional vacation days and comprehensive benefits package.
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Learning and professional development opportunities.
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A collaborative, innovative, and people-focused culture.
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Team-building activities and a modern, engaging workplace.
Recruitment Team
For questions please contact us via Koerbercampusporto.recruitment@koerber.comPlease apply exclusively via the “Apply now” button.
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.
This position is covered by the Collective Labour Agreement (Contrato Coletivo de Trabalho da FETESE).