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SENIOR DATA ENGINEER

Descripción de la oferta de empleo

About US (GEMS):ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.3,600 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.Our 190,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.Our 4 expertises:• Asset management• Energy transition services• Energy supply & global commodities• Risk management & market accessAt GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).IT is at the heart of de Digital Transformation and enables GEMS to optimize renewable assets, manage energy for decentralized assets and clients and supports all businesses and support units at GEMS Iberia.The team is also responsible for managing relationships with technological partners and coordination with other IT areas within GEMS & ENGIE.Role Overview:Ensure that data is accessible, reliable, and manageable, enabling GEMS to make data-driven decisions:Develop and maintain data storage systems: building and maintaining robust, scalable data architectures.Process and transform data: implementing processes to transform raw data into formats suitable for analysis.Optimize data flow: ensuring efficiency and speed in data transfer.Assure data quality and integrity: implementing measures to ensure data accuracy and consistency over time.Collaborate with analytics and data science teams: working closely with analysts and data scientists to prepare data for predictive and prescriptive analytics.Develop data pipelines: constructing and maintaining data pipelines that support complex data workflows.Manage data security: applying security practices and protocols to protect data against unauthorized access.Automate and monitor data processes: automating repetitive tasks and monitoring data system performance.Provide user support and training: providing technical support and training to non-technical users for data access and use.Innovate and continuously learn: staying up-to-date with the latest technologies and practices in the field of data engineering.Optimize performance: continuously evaluate and optimize data systems for improved performance and scalability.Collaborate cross-functionally: work across different departments to promote data literacy and empower data-driven decision-making.Understand GEMS Energy activities: Familiar with GEMS’ role in asset optimization, trading, sales, energy markets as well as back office, risk management, etc.Must have:More than 6 years of experiencePython ProficiencyExperience with ETL, especially with AWS infrastructure and componentsExperience with Cloud Services, specifically AWS (necessary) and Azure (desirable)Advanced use of Airflow and DatabricksData Modeling ExperienceData Warehousing Solutions ExperienceDatabase Management ExperienceUnderstanding of big data technologies like Hadoop, Spark, and Kafka.Effective CommunicationMachine Learning ExperienceAgile Development ExperienceExperience with DockerKnowledge in Data Lakes and Data WarehousesEducation and professional background:Bachelor's Degree in Computer Science, Information Technology, or a related field to provide a strong technical foundation.Certifications in relevant technologies and methodologies such as cloud computing, cybersecurity, database management, and data analytics can be beneficial.At least 6 years.Languages:Proficiency in SpanishHigh EnglishTravels:Travel occasionally to headquarters or to other countries in order to share experiences or to assist to special events.If you meet these requirements, then you are the talent we are looking for. Do not waste time! Apply by attaching your updated CV, regardless your gender.ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals. All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you. About ENGIE:Our group is a global reference in low-carbon energy and services. Our purpose (“raison d’être”) is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.
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Detalles de la oferta

Empresa
  • ENGIE España
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 04/09/2024
Fecha de expiración
  • 03/12/2024
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