Data Engineer

Data Engineer

Freelance onsite contract-Luxembourg

TASKS AND RESPONSIBILITIES

• Provision of technical consultancy services for Data Engineering projects.
• The ideal candidate must have a strong technological competence in Business Intelligence (BI) implementation projects in Azure.
• Analysis, design and implementation of data ingestion, data storage, data processing and data security in the cloud (Microsoft Azure).
• Management and monitoring data ingestion, data storage and data processing.
• Development and maintenance of data storage, data processing, data security according to EC guidelines.
• Participation and interaction in technical working groups and meetings with project teams, developers, stakeholders, and non-expert users.
• Draft and review technical and functional/non-functional specifications in collaboration with Enterprise Architecture and Operations teams.
• Actively participate in technical working groups and meetings with project teams, developers, stakeholders, and non-technical users.

REQUIRED SKILLS & QUALIFICATIONS

• Education: Bachelor or equivalent degree of at least 3 successful years of post-high school education in Data Science (EQF level 6), or 2 years of professional experience in addition to experience required.

1. Languages: English : C1 level

• EXPERIENCE
• ▪ Minimum 10 years of professional experience in, of which:
• • 8 years working in Business Intelligence field.
• • 5 years on Azure.
• Experience in:
• • BI for process driven applications.
• • EC Data Governance framework or equivalent.
• • EC Azure Security guidelines.

TECHNICAL SKILLS

CV Expertise page

Systems and Protocols

1. Cloud based applications (Azure data integration – Azure Data Factory and/or Azure Synapse Pipeline and/or Fabric, Azure integrated analytical solutions with Azure Synapses Analytics, Data warehouse using Azure Synapse Analytics, Azure Synapse Apache Spark Pools, Azure Data Lake Storage Gen2 and Azure Stream Analytics): 60 months
2. Databases (MS SQL Server, Oracle, PostgreSQL, Amazon Redshift): 120 months
3. Network topology (TCP/IP, Load balancers, Proxy servers): 12 months

Reporting Technologies

1. Qlik Sense, Tableau, SSAS: 24 months
2. Microsoft Power BI (M, DAX): 60 months

Other IT Languages

1. SQL/SQL-PL: 120 months
2. Python (Notebooks): 60 months

Other IT Expertise

• ETL (Microsoft SSIS, SSAS multidimensional and tabular): 48 months
• Experience in leading BI developments: 84 months
• Experience in the design and implementation of data marts: 84 months
• Experience in the implementation of a database sync tool developed in PL SQL for Oracle: 84 months
• Experience in Azure DWH implementation: 48 months

Data Knowledge related

1. BI for process driven applications: 12 months

Software Tools

1. Microsoft Office Suite – Word, Excel, Power Point: 120 months
2. Confluence and JIRA : 24 months
3. Microsoft SQL Server Management Studio: 48 months
4. Oracle Developer : 48 months