Job Description
Job DescriptionAt 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 tasksYou support our business stakeholders in continuously integrating different data sources to our central Data PlatformYou collaborate directly with Business Teams to understand their data analytics needs and translate these into actionable data models and pipelinesYou develop and maintain data models that accurately represent business processes and support advanced analytics use casesYou design, build, and manage robust data pipelines to ingest and process data from various sourcesYou create relevant documentation for your Data Models, enabling exploration and reusabilityYou structure and manage our data lake to ensure optimal performance and accessibility of dataYou monitor the performance of data pipelines and troubleshoot any issues that arisesYou implement an efficient orchestration framework for automating data processing tasksYou collaborate with data scientists to enable production ready advanced analytics and machine learning capabilitiesYou utilize your strong AWS knowledge to architect and manage features in our data platformYou apply DevOps principles to ensure the stability, scalability, and security of our data infrastructureYour profileYou 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 roleYou 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 SparkYou master documentation and diagramming techniques.You have a solid understanding of AWS Services for Data Analytics and how to leverage themHighly 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 RegionA multicultural and international working environment that encourages diversity and inclusionA competitive salary with many additional benefitsA satisfying working environment with a culture of appreciation, flat hierarchies and open door policyContinuous learning and development career path adapted to the needs of each employeeHybrid working mode with the possibility to work from homeFor external applications, a recent copy of the police record will be requested if you are invited for an interview.Jobs.lu
Apply
Go Back