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Data Engineer Mid (m/f/d)

Körber Group koerber.com Open · verified Oct 24, 2026
Porto Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Körber Group. Porto.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationPorto
PostedSep 23, 2026 · 4w ago
Role brief

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

  • 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.

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).

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.