Data and DWH Engineer

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.

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

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