Data & AI Engineering Lead
Completa
Engie
Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions.
At ENGIE, every person plays a key role in accelerating energy transition.
Make a difference and live a meaningful professional experience.
Take on exciting challenges, grow in an innovative environment, and build a career that reflects who you truly are.
- Own and lead the design and development of the Energy Trading data platform and operational data perimeter while leading and mentoring data engineers, analysts, and developers involved in data initiatives.
- Design and manage cloud-native data architectures and infrastructure, leveraging IaC to deliver scalable, secure, high-performance, and cost-effective data solutions.
- Build and optimize scalable, secure, and high-performance AWS-based data pipelines and architectures. Ensure data quality, governance, lineage, security, and compliance across the full data lifecycle.
- Develop data models, curated datasets, dashboards, and analytics solutions that support Trading, Risk, and Operations.
- Drive the adoption of AI/ML solutions for forecasting, automation, optimization, and anomaly detection.
- Collaborate with business and technology stakeholders to translate requirements into impactful data solutions.
- Oversee the reliability, availability, and performance of the cloud data platform.
- 7+ years of experience in data engineering, analytics engineering, or cloud data architecture
- Strong hands‑on experience with AWS data services (Glue, Lambda, S3, Athena, Redshift, EMR, Kinesis, Step Functions)
- Expertise in ETL/ELT design, data modeling, and distributed data processing
- Proficiency in Python and SQL for data engineering and analytics
- Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar
- Strong understanding of data governance, metadata management, and data quality frameworks
- Experience with Infrastructure as Code (Terraform, CloudFormation, CDK)
- Familiarity with machine learning workflows and AI‑driven solution design
- We will provide you with training plans adapted to your needs and interests.
- You will have a flexible schedule and a hybrid work system + reduced working days during summer and Fridays.
- You will have the chance to adhere to corporate benefits and e-Plan (transport card, kindergarten, training, meal, health insurance among others).
- You will be part of a dynamic team in which you will truly develop and grow as a professional.
- You will work with a multidisciplinary team that will support you at all times.
- You will be part of a network of more than 96,000 professionals working to create a more sustainable world.
Oferta de empleo publicada 14 días atrás
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