Is Data Engineer - (R840)

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.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.Context:As GEMS continues to navigate through the digitalization process, we need a robust IT area.
This journey towards digital transformation is not only about adopting new technologies but also about rethinking our operations and business models to drive efficiency, innovation, and value creation.
The IT area is pivotal in this transition, providing the necessary infrastructure, support, and expertise to ensure that digital initiatives are implemented effectively and align with our strategic goals.Role: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.Hard skills:Must have:- Advanced Programming: advanced in programming languages such as Python.- Database management: advanced experience with SQL and NoSQL databases such as MySQL, PostgreSQL, MongoDB, and Cassandra.- Data warehousing solutions: familiarity with data warehousing tools like Redshift, BigQuery, Teradata, etc.- Big Data Technologies: Understanding of big data technologies like Hadoop, Spark, and Kafka.- Data Modeling: Ability to design and implement data schemas and models.- ETL Tools: Experience with ETL (Extract, Transform, Load) tools and processes.- Cloud Services: Knowledge of cloud services like AWS or Azure.- Data Pipeline and Workflow Management: Experience with workflow management.- Machine Learning: Understanding of machine learning algorithms and data science principles.- Version Control Systems: Proficiency with version control systems like Git.- Functional and Technical Analysis: Ability to perform detailed analysis of internal clients' requirements and use cases.- Agile Development Experience: Familiarity with agile methodologies for rapid and efficient software development.- DevOps Tools: Knowledge of DevOps tools like Docker, Jenkins, and Kubernetes for continuous integration and deployment.- Communication: Effective communication skills for collaborating with teams and articulating technical concepts to non-technical stakeholders.- Understanding the energy sector's dynamics.Good to have:- Data Governance: Knowledge of data governance principles and practices to ensure data quality and compliance.- Project Management: Skills in managing projects, understanding project scopes, and delivering within timelines.- Collaboration Tools: Familiarity with collaboration and project management tools like JIRA, Confluence, or Trello.- Familiarity with advanced analytics and statistical methods to extract insights from data.- Knowledge of MLOps, IAOPs, DataOps practices to improve the quality and speed of data analytics workflows.Soft skills:Must have:- Effective communication, ability to clearly convey complex data concepts to non-technical stakeholders.- High customer-centric mindset: Understanding the needs of the business and aligning data solutions to meet those needs.- Problem-solving: strong analytical skills to troubleshoot and solve data-related issues.- Team collaboration: work effectively with cross-functional teams to achieve common goals.- Adaptability and flexibility: to adapt to new technologies and changing business needs.- Time management: managing multiple projects efficiently and meeting tight deadlines.- Creativity and innovation: to find new ways to drive insights.- Continuous Learning: commitment to staying updated with the latest industry trends and technologies.Good to have:- Emotional Intelligence: to recognize and manage one's own emotions as well as those of others.- Resilience: staying focused and productive under pressure or during times of change.- Curiosity: a strong desire to learn and understand more about data and its potential applications.- Conflict resolution: mediating disputes and finding amicable solutions.Education 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 relevant experience.Languages:Proficiency in Spanish and high proficiency in English.Travels: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, and 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.
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