Data And Dwh Engineer

9 сентября 2026 г.

Офис

Junior

Virum, Denmark

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Описание

IN Groupe is a global leader in secure identity and digital services, operating in over 130 countries. The role involves designing and optimizing enterprise data warehouse solutions for the MitID team in Denmark. The candidate will work with modern data technologies and collaborate with business stakeholders to ensure high-quality data processes.

Обязанности

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 aligned with business requirements
Manage and monitor job scheduling workflows (Automic)
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
Maintain and prioritize backlogs for data engineering tasks
Perform production monitoring, maintenance, and support
Execute and improve deployment and QA processes
Identify, document, and resolve known issues
Collaborate with business stakeholders, analysts, and IT teams
Continuously improve data architecture, pipelines, and processes
Ensure best practices in data quality, governance, and performance

Требования

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, including Oracle DB
Experience with Spark, Cloudera, Sqoop
Experience with job scheduling tools (preferably Automic)
Experience with CI/CD pipelines and deployment processes
Familiarity with SAP BusinessObjects and SAP ERP
Preferred: Experience with large-scale enterprise data platforms
Preferred: Knowledge of scripting (Python, Shell, etc.)
Preferred: Experience with monitoring tools and production support
Preferred: Understanding of finance-related datasets
Preferred: Agile / DevOps working experience

SQLSparkClouderadigital servicesPythonShell

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