Data Engineer Expert

Luxembourg - Luxembourg

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

We currently have a vacancy for a Data Engineer Expert fluent in English to offer his/her services as an expert who will be based in Luxembourg. The work will be carried out either in the companys premises or on site at customer the context of the first assignment the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major clients IT team on site.

Your tasks

Provide technical consultancy for Data Engineering initiatives across multiple projects;
Lead and contribute to Business Intelligence (BI) implementation projects on Microsoft Azure ensuring robust and scalable solutions;
Analyse design and implement cloud-based data architectures including data ingestion storage processing and security components on Azure;
Manage monitor and optimise data ingestion pipelines data storage solutions and data processing workflows;
Develop and maintain data platforms ensuring data quality security and regulatory adherence;
Draft review and maintain technical functional and non-functional specifications in close collaboration with Enterprise Architecture and Operations teams;
Actively participate in technical working groups and project meetings collaborating with developers project teams stakeholders and both technical and non-technical users;
Communicate complex technical concepts clearly to non-expert audiences supporting alignment between business and technical teams.

Requirements

University degree in Data Science or relevant discipline combined with minimum 10 years of relevant working experience in IT;
At least 10 years of experience with relational and analytical databases including Microsoft SQL Server Oracle PostgreSQL and Amazon Redshift;
At least 10 years of experience in SQL / SQL-PL for data querying transformation and optimisation.
At least 10 years of experience in the use of the Microsoft Office Suite (Word Excel PowerPoint);
At least 7 years of experience leading Business Intelligence (BI) development initiatives;
At least 7 years of experience in the design and implementation of data marts;
At least 7 years of experience implementing database synchronisation tools developed in PL/SQL for Oracle;
At least 5 years of experience with cloud-based data integration and analytics solutions on Microsoft Azure including Azure Data Factory Azure Synapse Pipelines and/or Fabric Azure Synapse Analytics Azure Data Warehouse Azure Synapse Apache Spark Pools Azure Data Lake Storage Gen2 and Azure Stream Analytics;
At least 5 years of experience with Microsoft Power BI including data modelling using M and calculations using DAX;
At least 5 years of experience using Python particularly notebooks for data analysis and processing;
At least 4 years of experience with ETL and analytical solutions including Microsoft SSIS and SSAS (multidimensional and tabular);
At least 4 years of experience in Azure Data Warehouse (DWH) implementation;
At least 4 years of hands-on experience with Microsoft SQL Server Management Studio (SSMS) and Oracle Developer;
At least 2 years of experience with enterprise reporting and analytics tools such as Qlik Sense Tableau and SQL Server Analysis Services (SSAS);
At least 2 years of experience working with Confluence and JIRA in agile or structured project environments;
At least 1 year of experience with network topology concepts including TCP/IP load balancers and proxy servers;
At least 1 year of experience applying Business Intelligence solutions to process-driven applications;
Excellent command of the English language.

Your tasks

Provide technical consultancy for Data Engineering initiatives across multiple projects;
Lead and contribute to Business Intelligence (BI) implementation projects on Microsoft Azure ensuring robust and scalable solutions;
Analyse design and implement cloud-based data architectures including data ingestion storage processing and security components on Azure;
Manage monitor and optimise data ingestion pipelines data storage solutions and data processing workflows;
Develop and maintain data platforms ensuring data quality security and regulatory adherence;
Draft review and maintain technical functional and non-functional specifications in close collaboration with Enterprise Architecture and Operations teams;
Actively participate in technical working groups and project meetings collaborating with developers project teams stakeholders and both technical and non-technical users;
Communicate complex technical concepts clearly to non-expert audiences supporting alignment between business and technical teams.

Requirements

University degree in Data Science or relevant discipline combined with minimum 10 years of relevant working experience in IT;
At least 10 years of experience with relational and analytical databases including Microsoft SQL Server Oracle PostgreSQL and Amazon Redshift;
At least 10 years of experience in SQL / SQL-PL for data querying transformation and optimisation.
At least 10 years of experience in the use of the Microsoft Office Suite (Word Excel PowerPoint);
At least 7 years of experience leading Business Intelligence (BI) development initiatives;
At least 7 years of experience in the design and implementation of data marts;
At least 7 years of experience implementing database synchronisation tools developed in PL/SQL for Oracle;
At least 5 years of experience with cloud-based data integration and analytics solutions on Microsoft Azure including Azure Data Factory Azure Synapse Pipelines and/or Fabric Azure Synapse Analytics Azure Data Warehouse Azure Synapse Apache Spark Pools Azure Data Lake Storage Gen2 and Azure Stream Analytics;
At least 5 years of experience with Microsoft Power BI including data modelling using M and calculations using DAX;
At least 5 years of experience using Python particularly notebooks for data analysis and processing;
At least 4 years of experience with ETL and analytical solutions including Microsoft SSIS and SSAS (multidimensional and tabular);
At least 4 years of experience in Azure Data Warehouse (DWH) implementation;
At least 4 years of hands-on experience with Microsoft SQL Server Management Studio (SSMS) and Oracle Developer;
At least 2 years of experience with enterprise reporting and analytics tools such as Qlik Sense Tableau and SQL Server Analysis Services (SSAS);
At least 2 years of experience working with Confluence and JIRA in agile or structured project environments;
At least 1 year of experience with network topology concepts including TCP/IP load balancers and proxy servers;
At least 1 year of experience applying Business Intelligence solutions to process-driven applications;
Excellent command of the English language.

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Sansaone

30 employees

Welcome to Sansaone, a dynamic force in the realm of ICT talent acquisition. Born out of a passion for excellence and a vision for connecting outstanding professionals with forward-thinking organizations, we stand as a beacon for strategic recruitment solutions in the Information and ... View more

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