
Cloud Data Architect
3 days ago
Xenit is a Swedish consulting firm with offices in Gothenburg, Stockholm, and Malmö. Our goal is to become the leading cloud partner in Sweden, focusing on creating a happy atmosphere where employees can thrive. We prioritize hybrid remote working, encourage collaboration between offices, and offer flexibility in choosing devices and working hours.
We are Microsoft's best partner in Sweden for 2024, recognized for our excellent work within co-pilot, showcasing our investment in AI, data, and cloud services.
Job DescriptionWe are seeking an experienced Senior Data Engineer/Analyst to join our team of experts. The ideal candidate will have knowledge of data and cloud solutions, particularly with Azure and/or Power BI. You will collaborate with your team members within Fabric and Power Platform, working closely with end users to provide business value.
You will have the opportunity to be involved in solution design and development for both small and large customers. Your tasks may include designing, building, and maintaining data flows/architectures for data processing, integrating large data sets from multiple data sources, and performing data modelling.
Potential Responsibilities:- Data architecture design and development
- ETL/ELT development and data integration
- Contributing to improving data analytics processes
- Developing and refining existing data analytics services
We use Microsoft Azure and related tooling, such as Power BI, Azure Data Factory, Fabric, and DataBricks. Experience with these areas is beneficial, but not required.
Requirements- Around 5 years of experience in the field
- Good knowledge of Power BI
- Skilled in ETL/ELT development
- Hands-on experience with Azure Data Factory and/or Fabric
- Experience in data modelling/design/architecture
Bonus qualifications include knowledge of Microsoft Purview, Azure Synapse Analytics, Data Lake/Data Lakehouse, and Python or R.
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