AI Summary
Develop and maintain robust data pipelines using SSIS. Design analytical data models and SSAS cubes. Build reporting solutions using Power BI and SSRS. Collaborate with business teams and mentor junior profiles. Strong SQL Server experience required.
Key Highlights
Design and maintain data pipelines using SSIS
Develop analytical data models and SSAS cubes
Build reporting solutions using Power BI and SSRS
Optimize SQL Server queries and ensure data quality
Collaborate with business teams and mentor junior profiles
Key Responsibilities
Develop and maintain robust data pipelines using SSIS
Design analytical data models and SSAS cubes
Build reporting solutions using Power BI and SSRS
Optimize SQL Server queries and overall database performance
Ensure data quality, consistency, and governance
Collaborate with business teams to translate requirements into technical solutions
Support and mentor junior profiles
Technical Skills Required
Benefits & Perks
100% Remote opportunities
International Career
Health and Life Insurance (for EU residents)
Tech Visa Company (for non-EU residents)
Nice to Have
Experience working in hybrid environments (on-premises + cloud)
Knowledge of Azure (e.g., Azure Data Factory, Synapse)
Experience with CI/CD in data projects
Job Description
Data Engineer – Mid-Level (4+ years of experience)
Responsibilities
- Develop and maintain robust data pipelines (SSIS)
- Design analytical data models (Data Warehouse, Data Marts)
- Develop SSAS cubes (multidimensional or tabular models)
- Build reporting solutions using Power BI and SSRS
- Optimize SQL Server queries and overall database performance
- Ensure data quality, consistency, and governance
- Collaborate with business teams to translate requirements into technical solutions
- Support and mentor junior profiles
- Strong experience with SQL Server (advanced T-SQL, performance tuning)
- Hands-on experience with SSIS (ETL development)
- Experience with SSAS (multidimensional or tabular models)
- Strong expertise in SSIS (SQL Server Integration Services)
- Experience with Power BI (data modeling, DAX, visualization)
- Experience with dimensional modeling (Kimball methodology)
- Solid knowledge of Data Warehouse best practices
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- Experience working in hybrid environments (on-premises + cloud)
- Knowledge of Azure (e.g., Azure Data Factory, Synapse)
- Experience with CI/CD in data projects
- Knowledge of Data Governance and Data Quality practices
- Strong autonomy and problem-solving skills
- Analytical mindset
- Good communication with both technical and business stakeholders
- Mentoring capability
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Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.
100% Remote opportunities
We want you to have the flexibility to work where you feel most comfortable and productive.
International Career
- You can expect professional growth and to be connect with the world.
- We are represented in Portugal, Belgium, Luxembourg, and Denmark.
- And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)
If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!
As a plus, we provide Health and Life Insurance.
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