Data Warehouse Engineer: ETL, CI/CD & Data Modeling

IN Groupe; Rudersdal Kommune; On-site; DKK 600,000 - 900,000; Full time

Job summary

IN Groupe Denmark is seeking an experienced Data Specialist to design, maintain, and optimize our enterprise data warehouse and related data processes. You will collaborate with business stakeholders, analysts, and developers to ensure scalable, high-quality data solutions for MitID.

You will design ingestion pipelines, manage job scheduling, and contribute to governance and performance improvements across the data platform, while supporting production operations and deployments.

Qualifications

• Degree in Computer Science, Information Systems, or related field.
• Proven experience in data engineering and data warehouse development.
• Strong knowledge of data modeling (Kimball, star/snowflake).
• ETL/ELT processes and tools, SQL and databases.
• Experience with Oracle DB, Spark, Cloudera, Sqoop and Universe Designer.
• Familiarity with Automic for job scheduling.
• CI/CD pipelines and deployment processes experience.
• Knowledge of SAP BusinessObjects and SAP ERP.

Responsibilities

• Maintain and document environment details across dev, QA, and prod.
• Design, implement, and optimize data ingestion from multiple sources.
• Develop and maintain dimensional/relational data models.
• Manage and monitor job scheduling workflows (Automic).
• Maintain data export scripts and processes.
• Support and improve the MitID data platform components.
• Build and maintain CI/CD pipelines for data workflows.
• Track RFCs, change requests, and orders.

Skills

Data engineering

Data warehousing

Data modeling

ETL/ELT

SQL

Scripting (Python, Shell)

Agile / DevOps mindset

Education

Degree in Computer Science, Information Systems, or related field

Tools

Automic

Oracle DB

Spark

Cloudera

Sqoop

Universe Designer

SAP BO

SAP ERP

Job description

IN Groupe Denmark is seeking an experienced Data Specialist to design, maintain, and optimize our enterprise data warehouse and related data processes. You will collaborate with business stakeholders, analysts, and developers to ensure scalable, high-quality data solutions for MitID.

You will design ingestion pipelines, manage job scheduling, and contribute to governance and performance improvements across the data platform, while supporting production operations and deployments.