Data and DWH Engineer
IN Groupe Rudersdal Municipality, Capital Region of Denmark, Denmark
IT Services and IT Consulting · 1,001-5,000 employees
About the role
You will be responsible for designing, maintaining, and optimizing the enterprise data warehouse and associated data ingestion processes. This includes managing job scheduling, supporting data exports, and building CI/CD pipelines to ensure high-quality data solutions.
What they look for
Requirements
The ideal candidate holds a degree in Computer Science or a related field and possesses proven experience in data engineering and warehouse development. Strong technical proficiency in SQL, Oracle DB, Spark, and data modeling concepts like Kimball is required.
Full description
About IN Groupe
A specialist in identity, secure transactions, and digital services, IN Groupe is the global leader in secure identity and trust services. Every day, our 4,000 employees across 40 countries work to ensure that everyone has access to a reliable and secure identity, both in the physical and digital worlds. With our solutions and our international network of 10 R&D centers, we support governments and businesses in more than 130 countries.
Joining IN Groupe means helping to shape the future of the identity and secure transaction market. Become part of our international teams — driven by innovation and proud to design solutions that make life easier and protect personal data for millions of people around the world.
About the role
Are you passionate about creating intuitive and accessible digital solutions that make a difference for millions of users? IN Groupe Denmark is looking for an experienced Data Specialist to join our MitID team. In this role, you will be responsible for designing, maintaining, and optimizing our enterprise data warehouse and associated data processes. You will work closely with business stakeholders, analysts, and developers to ensure reliable, scalable, and high-quality data solutions.
The ideal candidate has a strong background in data engineering, hands-on experience with data warehousing concepts, and familiarity with SAP BusinessObjects (SAP BO).
Key responsibilities
Core Engineering Tasks
- Maintain and document environment details across development, QA, and production systems
- Design, implement, and optimize data ingestion processes from multiple source systems
- Develop and maintain data models (dimensional / relational) aligned with business requirements
- Manage and monitor job scheduling workflows (Automic), ensuring reliability and performance
- Oversee and maintain data export scripts and processes
- Support and enhance the Broker Invoice process within the data platform
- Build and maintain CI/CD pipelines for data workflows and deployments
- Track and manage upcoming RFCs, change requests, and orders
Operational responsibilities
- Maintain and prioritize backlogs for data engineering tasks and improvements
- Perform production monitoring, maintenance, and support, ensuring system stability
- Execute and improve deployment and QA processes
- Identify, document, and resolve known issues, ensuring minimal business impact
Collaboration and improvement
- Collaborate with business stakeholders, analysts, and IT teams
- Continuously improve data architecture, pipelines, and processes
- Ensure best practices in data quality, governance, and performance
Required 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 schemas)
- ETL/ELT processes and tools
- SQL and database technologies
- Oracle DB
- Spark
- Cloudera
- Sqoop
- Universe Designer
- Experience with job scheduling tools (preferably Automic)
- Experience with CI/CD pipelines and deployment processes
- Familiarity with SAP BusinessObjects (SAP BO) and SAP ERP
Preferred skills
- Experience with large-scale enterprise data platforms
- Knowledge of scripting (Python, Shell, etc.)
- Experience with monitoring tools and production support
- Understanding of finance-related datasets (e.g., invoicing processes)
- Agile / DevOps working experience