Senior Data Engineer
Il y a 2 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Black Pen Recruitment
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ph3Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions (Information Technology/Software/Onsite) /h3pJob Openings Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions (Information Technology/Software/Onsite) /ph3About the job Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions (Information Technology/Software/Onsite) /h3pOur client, a leading Software, Information and Communication Technologies company, operates internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). Our client is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. /ppbRole Overview /b /ppOur client currently has a vacancy for a Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on-site at customer premises. In the context of the first assignment, the successful candidate will be integrated with the Development team of the company that will closely cooperate with a major client’s IT team on site. /ppbJob Type: /b Full-Time/Permanent /ppbLocation: /bBrussels /ppbWorkplace: /bOnsite /ppbRequirements /b /pulliUniversity degree in IT combined with relevant IT professional experience of 13 years; /liliAt least 5 years of experience in relational database systems applied to data warehouse, data warehouse design architecture; /liliAt least 5 years of experience in code-based data transformation tools such as Data build tool (dbt), Spark; /liliAt least 5 years of experience in SQL and data integration and ETL/ELT tools; /liliHands-on experience as Data Engineer in a modern data platform and on data analytics techniques and tools; /liliAt least 3 years of experience in Python and orchestration tools such as Airflow, Dagster; /liliAt least 3 years of experience in data modelling tools as well as online analytical data processing (OLAP) and data mining tools; /liliExperience with data platforms such as Fabric, Talend, Databricks and Snowflake; /liliExperience with containerised application development and deployment tools, such as Docker, Podman, Kubernetes; /liliExcellent command of the English language. /li /ulpbResponsibilities /b /pulliDevelopment and maintenance on Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses); /liliDesign and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data; /liliData integration from various sources, including relational databases, APIs, data streaming services and cloud data platforms; /liliOptimisation of queries and workflows for increased performance and enhanced efficiency; /liliWriting modular, testable and production-grade code; /liliEnsuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform; /liliElaboration of test programs; /liliDocument processes comprehensively to ensure seamless data pipeline management and troubleshooting; /liliAssistance with deployment and configuration of the system. /li /ul /p
- Enterprise Data Warehouse Lakehouse Solutions (Information Technology/Software/Onsite) /h3pJob Openings Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions (Information Technology/Software/Onsite) /ph3About the job Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions (Information Technology/Software/Onsite) /h3pOur client, a leading Software, Information and Communication Technologies company, operates internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). Our client is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. /ppbRole Overview /b /ppOur client currently has a vacancy for a Senior Data Engineer
- Enterprise Data Warehouse Lakehouse Solutions fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on-site at customer premises. In the context of the first assignment, the successful candidate will be integrated with the Development team of the company that will closely cooperate with a major client’s IT team on site. /ppbJob Type: /b Full-Time/Permanent /ppbLocation: /bBrussels /ppbWorkplace: /bOnsite /ppbRequirements /b /pulliUniversity degree in IT combined with relevant IT professional experience of 13 years; /liliAt least 5 years of experience in relational database systems applied to data warehouse, data warehouse design architecture; /liliAt least 5 years of experience in code-based data transformation tools such as Data build tool (dbt), Spark; /liliAt least 5 years of experience in SQL and data integration and ETL/ELT tools; /liliHands-on experience as Data Engineer in a modern data platform and on data analytics techniques and tools; /liliAt least 3 years of experience in Python and orchestration tools such as Airflow, Dagster; /liliAt least 3 years of experience in data modelling tools as well as online analytical data processing (OLAP) and data mining tools; /liliExperience with data platforms such as Fabric, Talend, Databricks and Snowflake; /liliExperience with containerised application development and deployment tools, such as Docker, Podman, Kubernetes; /liliExcellent command of the English language. /li /ulpbResponsibilities /b /pulliDevelopment and maintenance on Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses); /liliDesign and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data; /liliData integration from various sources, including relational databases, APIs, data streaming services and cloud data platforms; /liliOptimisation of queries and workflows for increased performance and enhanced efficiency; /liliWriting modular, testable and production-grade code; /liliEnsuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform; /liliElaboration of test programs; /liliDocument processes comprehensively to ensure seamless data pipeline management and troubleshooting; /liliAssistance with deployment and configuration of the system. /li /ul /p