Emploi: Quantitative (Credit) Risk Analyst (m/f/n):Enovos Luxembourg S.A.Job description:Retour aux résultats Marquer cette offre d'emploi Offres d'emploi marquées appliquer maintenant Data Engineer. Enovos Luxembourg S.A.Localisation: . Esch-sur-Alzette Rémunération : . not communicated Dernière mise à jour: . jeudi 25 avril 2024 Contrat Type: . CDI Temps de travail: . Temps plein appliquer maintenant » Partager cette offre d'emploi: » » » » Signaler cette annonce
Description de emploiAt Enovos, we're on a mission to innovate and navigate the fast-moving energy sector, placing data management and analysis at the forefront of understanding and anticipating customer behaviours and needs. As a Data Engineer, you'll play a pivotal role in moulding our data infrastructure and analytics, directly influencing our customer service improvements and business innovations. This is a career shaping experience as it will give you the opportunity to work on establishing the foundations of the Enterprise Data Platform while working closely together with Business Teams to deliver end-to-end high-value data use cases.Your tasks » You support our business stakeholders in continuously integrating different data sources to our central Data Platform » You collaborate directly with Business Teams to understand their data analytics needs and translate these into actionable data models and pipelines » You develop and maintain data models that accurately represent business processes and support advanced analytics use cases » You design, build, and manage robust data pipelines to ingest and process data from various sources » You create relevant documentation for your Data Models, enabling exploration and reusability » You structure and manage our data lake to ensure optimal performance and accessibility of data » You monitor the performance of data pipelines and troubleshoot any issues that arises » You implement an efficient orchestration framework for automating data processing tasks » You collaborate with data scientists to enable production ready advanced analytics and machine learning capabilities » You utilize your strong AWS knowledge to architect and manage features in our data platform » You apply DevOps principles to ensure the stability, scalability, and security of our data infrastructure Your profile » You hold a university degree in computer science/engineering, mathematics, economics or you have an equivalent working experience?of minimum 3 years in data analysis or data engineering role » You have an experience with various data storage technologies including relational databases, data warehouses, and data lakes such as s3 and Redshift. Knowledge of Apache Cassandra is a plus. » You know how to establish and manage ETL/ELT processes, and understand how to maintain solid scheduling framework maintained in Airflow. » You are proficient in programming and scripting languages like SQL, Python and Spark » You master documentation and diagramming techniques. » You have a solid understanding of AWS Services for Data Analytics and how to leverage them » Highly effective verbal and written communication skills in English. A good knowledge of Luxembourgish, German or French will be considered as an advantage. What we offer “Together we build the future of Luxembourg’s energy transition”. » The opportunity to join a Group that actively shapes the energy transition in Luxembourg and the Greater Region » A multicultural and international working environment that encourages diversity and inclusion » A competitive salary with many additional benefits » A satisfying working environment with a culture of appreciation, flat hierarchies and open door policy » Continuous learning and development career path adapted to the needs of each employee » Hybrid working mode with the possibility to work from home For external applications, a recent copy of the police record will be requested if you are invited for an interview. secteurs similaires . IT / Programmation , Production / Ingénierie , Analyse / Gestion de Projet Localisations similaires . Luxembourg Merci d'avoir signalé cette offre.Un membre de notre équipe contrôle capacité va regarder rapidement.Skills:
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