Mid Data Engineer
Indexed description
- Develop and maintain robust data pipelines (SSIS)
- Design analytical data models (Data Warehouse, Data Marts)
- Develop cubes/tabular models in SSAS
- Build reporting solutions using Power BI and SSRS
- Optimize SQL Server queries and performance
- Ensure data quality, consistency, and governance
- Collaborate with business teams to translate requirements into technical solutions
- Support and mentor junior team members
- Strong experience with SQL Server (advanced T-SQL, performance tuning)
- Hands-on experience with SSIS (ETL processes)
- Experience with SSAS (multidimensional or tabular models)
- Experience with Power BI (data modeling, DAX, visualization)
- Experience with dimensional modeling (Kimball methodology)
- Solid understanding of Data Warehouse best practices
- Experience in hybrid environments (on-premise + cloud)
- Knowledge of Azure tools (e.g., Data Factory, Synapse)
- Experience with CI/CD in data projects
- Knowledge of Data Governance and Data Quality practices
- Autonomy and problem-solving mindset
- Strong analytical thinking
- Effective communication with technical and business stakeholders
- Mentoring capabilities
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…)
As a plus, we provide Health and Life Insurance.
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