Luxembourg, LU
Open 5 months, first seen by us 155 days agoEmployment type in the employer’s posting: Full-TimeFrom the employer’s posting
Design, develop and maintain ETL/ELT ingestion and transformation pipelines
Work on Lakehouse or Data Warehouse layers (Bronze, Silver, Gold)
Develop and optimize SQL-based data models and schemas
Support Power BI semantic models, reports and dashboards
Support testing, troubleshooting and performance optimization
Design, develop, and maintain data ingestion and transformation pipelines (ETL/ELT)
Work with Lakehouse or Data Warehouse architectures (Bronze / Silver / Gold layers)
Develop, optimize, and maintain SQL-based data models and schemas
Support the development of Power BI semantic models, reports, and dashboards
Support testing, troubleshooting, and performance optimization activities
5+ years of experience in data engineering and/or BI projects (preferred)
Strong knowledge of SQL
Experience with Microsoft data tools (Microsoft Fabric, Azure Data Factory, Synapse, or similar)
Experience with Power BI (data modeling, DAX, report and dashboard development)
Fluency in English is required
Understanding of REST APIs and service principals is a plus
Profile: - Bachelor’s or Master’s degree in IT, Data, Engineering, Business Management, or a related field - Strong analytical mindset with problem-solving skills
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Cronos Europa’s usual: its jobs come down by about day 15.
From 10,904 similar postings that came down, and 12 of Cronos Europa’s. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Work with Lakehouse or Data Warehouse architectures (Bronze / Silver / Gold layers) - Develop, optimize, and maintain SQL-based data models and schemas - Support the development of Power BI semantic models, reports, and dashboards
- 5+ years of experience in data engineering and/or BI projects (preferred) - Strong knowledge of SQL - Experience with Microsoft data tools (Microsoft Fabric, Azure Data Factory, Synapse, or similar)
- Strong knowledge of SQL - Experience with Microsoft data tools (Microsoft Fabric, Azure Data Factory, Synapse, or similar) - Basic understanding of Spark / PySpark or modern data transformation concepts
- Understanding of REST APIs and service principals is a plus - Exposure to Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks), OneLake, Delta Lake, and Azure fundamentals is an asset Profile:
- Develop, optimize, and maintain SQL-based data models and schemas - Support the development of Power BI semantic models, reports, and dashboards - Collaborate with BI, data science, and business teams to understand data requirements
- Basic understanding of Spark / PySpark or modern data transformation concepts - Experience with Power BI (data modeling, DAX, report and dashboard development) - Familiarity with Git and CI/CD practices
- Experience with Microsoft data tools (Microsoft Fabric, Azure Data Factory, Synapse, or similar) - Basic understanding of Spark / PySpark or modern data transformation concepts - Experience with Power BI (data modeling, DAX, report and dashboard development)
Complete your application on cronoseuropa.breezy.hr. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
We are continuously looking for talented Data Engineer and BI Consultants to join our talent pool and support future projects with our clients. This is a generic and ongoing opportunity aimed at identifying professionals.
Job description:
As a member of our data consulting team, you will support current and future client projects built on modern Microsoft data platforms. We are proactively recruiting Data Engineers and BI Consultants to build a strong talent pool for upcoming missions.
You will contribute to the design, implementation, and optimization of data platforms, analytics solutions, and reporting environments, working closely with technical and business stakeholders in varied client contexts.
Responsibilities:
Technical skills:
Profile:
Why Cronos Group?
We’ll propose you:
If you wish to integrate a dynamic structure on a human scale while working with the latest Microsoft data technologies, don’t wait anymore and join Cronos!
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Luxembourg, LU
- An attractive salary or freelance rate, depending on contract type - A healthy work-life balance with remote and hybrid possibilities - The opportunity to work with cutting-edge Microsoft data technologies
No clear work-authorization passage found. Eligibility is unconfirmed.