We are seeking a highly skilled and experienced Senior Business Analyst to join our team in the aviation industry. The ideal candidate will possess strong analytical skills, a deep understanding of logistics operations, and excellent communication abilities to facilitate effective collaboration between technical teams and stakeholders. The Business Analyst will play a pivotal role in gathering, analysing, and documenting requirements, as well as translating business needs into actionable IT solutions.
We are seeking a highly skilled and experienced Senior Business Analyst to join our team in the aviation industry. The ideal candidate will possess strong analytical skills, a deep understanding of logistics operations, and excellent communication abilities to facilitate effective collaboration between technical teams and stakeholders. The Business Analyst will play a pivotal role in gathering, analysing, and documenting requirements, as well as translating business needs into actionable IT solutions.
As a Data Engineer, you will play a key role preparing the infrastructure and data that will be used to deliver high quality data products. You will help us design, develop and maintain data pipelines that will deliver insights. By using a DevOps approach, you will make sure the overall system is running on all times by automating tasks so you can spend time on creating and not deploying. You will also make sure the system is appropriately tested and monitored by using adapted methods and tools. You will collaborate with the other data engineers and data scientists of the Advanced Analytics team to create the simplest possible effective data landscape to improve delivery speed of future AI use cases.
As a Data Engineer, you will play a key role preparing the infrastructure and data that will be used to deliver high quality data products. You will help us design, develop and maintain data pipelines that will deliver insights. By using a DevOps approach, you will make sure the overall system is running on all times by automating tasks so you can spend time on creating and not deploying. You will also make sure the system is appropriately tested and monitored by using adapted methods and tools. You will collaborate with the other data engineers and data scientists of the Advanced Analytics team to create the simplest possible effective data landscape to improve delivery speed of future AI use cases.
The position is part of an ongoing research and development project at the Innovation. The project investigates the possibility of using fast load flow solvers and optimization techniques to find topological actions.You will have the opportunity to be part of an innovative, exciting project and make a significant contribution to further development with your ideas and suggestions.
The position is part of an ongoing research and development project at the Innovation. The project investigates the possibility of using fast load flow solvers and optimization techniques to find topological actions.You will have the opportunity to be part of an innovative, exciting project and make a significant contribution to further development with your ideas and suggestions.
Experienced Functional Analyst with a demonstrable experience in drafting requirements in an enterprise or government context, preferably in projects with a workflow component and/or projects with a complex data presentation layer. Demonstrable experience with large-scale projects where all aspects were covered, from analysing application requirements, proposing then data transformation from source data to documenting or a structured way in tools such as Confluence should be able to be presented. Clear demonstrable experience with workflow tools such as Camunda or similar is a must.
Experienced Functional Analyst with a demonstrable experience in drafting requirements in an enterprise or government context, preferably in projects with a workflow component and/or projects with a complex data presentation layer. Demonstrable experience with large-scale projects where all aspects were covered, from analysing application requirements, proposing then data transformation from source data to documenting or a structured way in tools such as Confluence should be able to be presented. Clear demonstrable experience with workflow tools such as Camunda or similar is a must.
In the data warehouse team, we are looking for a senior engineering coordinator. The scope is about coordination of new business projects and resolution of production issues. The person will be integrated in a small team and will be in contact with Business stakeholders, onshore and offshore teams. He or she has the responsibility of a correct, standardized development delivery and operational follow-up within his/her business context. In the DWH team, we strive to combine business concepts and develop well reflected systems to respond a maximum to our business clients’ reporting needs.
In the data warehouse team, we are looking for a senior engineering coordinator. The scope is about coordination of new business projects and resolution of production issues. The person will be integrated in a small team and will be in contact with Business stakeholders, onshore and offshore teams. He or she has the responsibility of a correct, standardized development delivery and operational follow-up within his/her business context. In the DWH team, we strive to combine business concepts and develop well reflected systems to respond a maximum to our business clients’ reporting needs.
With an ever increasing importance of data analytics, the need to ingest data in a fast, qualitative and more and more real-time way, increases equally. Today around 100 data engineers (majority externals) are designing, developing, maintaining and operating this logic. The technologies used are mainly Teradata (datawarehouse), Cloudera (DataLake), Informatica and home made tools (ETL), Kafka/Flink/Couchbase (real-time ingestion), PowerBI/Microstrategy (reporting tools), Gitlab/Jenkins (CI/CD), Spark/PySpark (big data processing),… Recent initiatives around efficiency revealed room for improvement in terms of quality of code, time to market, number of mandays to implement requests.
With an ever increasing importance of data analytics, the need to ingest data in a fast, qualitative and more and more real-time way, increases equally. Today around 100 data engineers (majority externals) are designing, developing, maintaining and operating this logic. The technologies used are mainly Teradata (datawarehouse), Cloudera (DataLake), Informatica and home made tools (ETL), Kafka/Flink/Couchbase (real-time ingestion), PowerBI/Microstrategy (reporting tools), Gitlab/Jenkins (CI/CD), Spark/PySpark (big data processing),… Recent initiatives around efficiency revealed room for improvement in terms of quality of code, time to market, number of mandays to implement requests.
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