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Data Engineer - Enterprise Data Warehouse

, Denmark

Apply by 31 May 2026

DE80000.0

Job Ref.: 56902

Job Type: Permanent

Job Description

Data Engineer – Enterprise Data Warehouse

Hørsholm, Denmark · Permanent · Hybrid

Company Overview

A global maritime technology group specialising in automation, navigation, and digital control systems is looking for a skilled Data Engineer. The organisation leverages advanced data platforms to enable smarter, safer, and more efficient operations worldwide.


Role Overview

You will take end-to-end ownership of the on-prem Enterprise Data Warehouse (EDW) and Tabular model environment. This role is responsible for designing, developing, and maintaining the core data architecture that supports reporting, analytics, and business decision-making.

Working closely with BI, IT, and cross-functional stakeholders, you will ensure secure, reliable, and high-performance data delivery across the organisation.


Key Responsibilities

  • Design and maintain the on-prem EDW with a focus on scalability and performance

  • Develop and optimise ETL/ELT pipelines integrating ERP, CRM, HRM, and other data sources

  • Build and optimise Tabular models for BI and self-service analytics

  • Implement data governance, validation, and security aligned with ISO 27001 and NIS2

  • Manage backend optimisation (indexing, storage, query tuning)

  • Deliver high-quality datasets and maintain documentation and audit readiness

  • Drive continuous improvements in data architecture and tooling


Key Requirements

  • Bachelor’s degree in Computer Science or related field

  • 5+ years’ experience in data engineering or EDW environments

  • Strong hands-on experience with on-prem EDW architecture and SQL performance tuning

  • Proven expertise in ETL/ELT development and enterprise data integration

  • Advanced experience with Tabular models

  • Understanding of data governance and compliance frameworks

  • Strong analytical and stakeholder communication skills

  • Microsoft data certifications are advantageous


Why Apply?

  • High ownership and architectural responsibility

  • Direct impact on a global data landscape

  • Hybrid working model

  • Collaborative, technology-driven environment

If you’re a hands-on Data Engineer looking for ownership and long-term impact, this is an excellent opportunity.

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