Data Engineer
Empresa:

Sandav


Lugar:

Madrid

Detalles de la oferta

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 managementEnergy transition servicesEnergy supply & global commoditiesRisk management & market accessAt GEMS we encourage breakthrough results, team spirit, curiosity, and innovation while preserving the right work/life balance for you.
IT is at the heart of the 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:
Data storage systems development and maintenance: building and maintaining robust, scalable data architectures.Data processing and transformation: implementing processes to transform raw data into formats suitable for analysis.Data flow optimization: ensuring efficiency and speed in data transfer.Data quality and integrity assurance: implementing measures to ensure data accuracy and consistency over time.Collaboration with analytics and data science teams: working closely with analysts and data scientists to prepare data for predictive and prescriptive analytics.Data pipeline development: constructing and maintaining data pipelines that support complex data workflows.Data security management: applying security practices and protocols to protect data against unauthorized access.Data processes automation and monitoring: automating repetitive tasks and monitoring data system performance.User support and training: providing technical support and training to non-technical users for data access and use.Innovation and continuous learning: staying up-to-date with the latest technologies and practices in the field of data engineering.Performance optimization: continuously evaluate and optimize data systems for improved performance and scalability.Cross-functional collaboration: work across different departments to promote data literacy and empower data-driven decision-making.GEMS Energy activities understanding: Familiar with GEMS' role in asset optimization, trading, sales, energy markets as well as back office, risk management, etc.Must have: Python ProficiencyData Warehousing Solutions ExperienceDatabase Management ExperienceUnderstanding of big data technologies like Hadoop, Spark, and Kafka.Data Modeling ExperienceExperience with ETLExperience Cloud ServicesEffective CommunicationMachine Learning ExperienceAgile Development ExperienceEducation 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 2 years of experience.Languages: Proficiency in SpanishHigh English proficiencyTravels: Travel occasionally to headquarters or to other countries in order to share experiences or to assist at 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 of your gender. ENGIE Global Energy Management & Sales is committed to creating 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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Fuente: Jobleads

Requisitos

Data Engineer
Empresa:

Sandav


Lugar:

Madrid

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