Data Engineer

Responsibilities Build strong, trustful relationships with functional partners through continuous, transparent communication. Maintain a strong team dynamic that focuses on delivering user value and sustaining application with a long‑term view. Create and maintain clean audit trails and generate real‑time reporting.

Improve data quality and reliability across applications. Work within an Agile Scrum framework to ensure continuous communication with functional partners. Contribute to a strong team dynamic focused on long‑term value delivery and application sustainability.

Design, build, and maintain scalable and robust data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Participate in data remodeling initiatives supporting migration from on‑premises private cloud environments to Microsoft Azure. Develop, test, and maintain databases, large‑scale processing systems, and data warehouses optimized for cloud deployment.

Collaborate with risk analysts and stakeholders to gather data requirements and deliver high‑quality datasets for analytics and machine learning. Optimize data delivery by redesigning infrastructure for scalability, reliability, and efficiency. Implement and enforce data security, governance, and compliance standards in line with internal policies and regulatory requirements.

Monitor and troubleshoot data systems to ensure data integrity, availability, and performance. Automate repetitive data tasks and workflows to improve operational efficiency. Stay up to date with industry trends, tools, and cloud technologies to continuously improve data engineering practices.

Document data engineering processes, data flows, and system configurations. Manage release processes, including release notes, deployment scripts, contingency plans, and rollback procedures. Participate in Level 3 production support and incident management, including root cause analysis and resolution.

Requirements Bachelor’s degree in Computer Science or a related field. 3 to 5 years of professional experience as a Data Engineer or in a similar role. Strong proficiency with MS SQL Server 2022, including complex queries, stored procedures, and performance tuning. Experience with Azure Synapse Analytics for large‑scale data warehousing.

Expertise in designing, building, and maintaining ETL pipelines. Hands‑on experience with Apache Spark and Databricks for big data processing and transformation. Solid knowledge of Microsoft Azure cloud services, including data services and infrastructure management.

Proficiency in Python for data manipulation, automation, and scripting. Strong skills in Power BI and advanced Excel to build dashboards and reports. Proficiency with GitHub for source code management and collaborative development workflows.

Comfort working in Unix/Linux environments. Strong communication skills in English, both orally and in writing. Ability to work in a bilingual environment (French and English).

Nice to have Experience with containerization technologies such as Kubernetes and Docker. Familiarity with Infrastructure as Code tools such as Terraform. Experience with .NET technologies (.NET 7, .NET 8) and Entity Framework.

Experience with Angular 14+ and Bootstrap 5. Knowledge of Credit and Counterparty Risk concepts. Strong understanding of capital market products, including secured financing transactions, derivatives, or corporate loans.

Knowledge of US or international financial regulations. ITIL certification. Azure Cloud certification.

Language Ability to communicate in English, both orally and in writing, is required. Ability to work in a bilingual environment (French and English) is required. Diversity & Inclusion Societe Generale is committed to offering an inclusive recruitment experience to all candidates.

We recruit, develop, advance, and retain a diverse workforce that is united in enhancing our competitive position and delivering innovative solutions. D&I Vision: Engaged workforce that is demographically diverse in a way that reflects the communities in which we operate. Inclusive culture that recognizes employees’ unique needs and utilizes their diverse talents.

Engage our community and marketplace, and position the organization to meet the needs of all its clients. #J-18808-Ljbffr