Data Engineer Mid (m/f/d)

Körber Pharma Packaging AG; Porto; Híbrido; EUR 42 000 - 66 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private health insurance

Dental insurance

Flexible working hours

Hybrid/remote options

Annual performance bonus

Learning and development opportunities

Team-building activities

Resumo da oferta

Körber Pharma Packaging AG is seeking a Data Engineer to design, build, and optimize data pipelines across our SAP Datasphere, BDC, and Databricks platforms. You will collaborate with data architects, analysts, and business SMEs to translate requirements into scalable solutions.

The role focuses on data governance, security, and modernization initiatives, with hybrid/remote options and a strong emphasis on English communication in an international environment.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

SQL

ETL/ELT

SAP Datasphere

Databricks

Data modeling

APIs

OData

CDS Views

Cloud platforms

English

Formação académica

Bachelor’s or Master’s in CS/Engineering/IS

Ferramentas

SAP Datasphere

Databricks

CDS Views

Descrição da oferta de emprego

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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.

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.

This position is covered by the Collective Labour Agreement (Contrato Coletivo de Trabalho da FETESE).

Körber is a global technology company for intelligent manufacturing and supply chain solutions. As a reliable innovation partner, Körber turns entrepreneurial thinking into customer success by providing leading technology to fuel what’s next – from end-to-end pharma production and advanced supply chain solutions to high-tech machinery and process equipment. Körber combines deep domain expertise with integrated hardware, software, and digital services, to help customers take the next step.