Data Engineer (M/F)

Project overview

You will join a major player in the banking sector to participate in the design and implementation of a comprehensive data management and valorization strategy. In a hybrid environment combining On Premise and Cloud infrastructure, you will manage the different stages of the data lifecycle: ingestion, transformation, optimization, and provision for the analytical needs of internal and external clients.

This mission is part of a context of technological modernization and reinforced compliance, where data quality, security, and governance are critical issues. You will work within a multidisciplinary team (Data Engineers, Data Analysts, Data Scientists) using Agile methodology, relying on industry best practices.

Responsibilities

Remote work: 2 days per week

• Design, develop, and maintain robust, scalable, and performant data pipelines capable of processing large volumes and heterogeneous sources
• Ensure data ingestion, transformation, and optimization according to current quality and security standards
• Implement and administer data architectures: Data Lake, Data Warehouse, and Datamarts, optimizing performance and maintainability
• Model data to meet specific analytical needs and regulatory requirements of the sector
• Collaborate closely with Data Analysts and business stakeholders to translate functional needs into adapted technical solutions
• Contribute to the design of dashboards and dataviz tools by ensuring the reliability and relevance of underlying data
• Independently manage assigned projects, from the design phase to production deployment and support
• Implement and document best practices for governance, quality, security, and industrialization of processing
• Ensure the RUN of processes and models in production, manage evolutions, and optimize performance
• Develop and test prototypes based on Machine Learning algorithms to exploit predictive models
• Conduct active technological watch and propose architectural evolutions aligned with the organization's data strategy

Project details

Guyancourt

Profile sought

Essential:

Highly appreciated:

Work environment

DGTL / Signe + is the facilitator for all stakeholders looking for DATA resources or missions.

Specializing in the Data and BI market, we operate throughout France and internationally; through subcontracting, pre-hiring, recruitment, commercial outsourcing, payroll outsourcing, etc.

Since 2018, we have been supporting our clients with proximity, fair pricing, and constant ethical consideration.

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• Proven experience (minimum 4 to 5 years) in Data Engineering or a related field
• Mastery of ETL/ELT processes: data ingestion, transformation, cleaning, and optimization
• Solid knowledge of data architectures: Data Lake, Data Warehouse, Datamarts
• Experience with mixed infrastructure environments (On Premise and Cloud)
• Mastery of at least one big data or data processing tool (Spark, Hadoop, Kafka, or similar)
• Skill in relational and dimensional data modeling
• Proven knowledge of data governance, quality, and security standards
• Autonomy, ability to manage projects with full responsibility, and to work in a multidisciplinary team
• Very good communication and ability to document technical solutions
• Fluent technical English (reading/writing documentation)
• Experience in Cloud environments (AWS, Azure, or GCP)
• Knowledge of NoSQL databases and analysis technologies (Elasticsearch, MongoDB, etc.)
• Familiarity with orchestration and workflow tools (Airflow, Luigi, or equivalent)
• Experience in Machine Learning or data science and understanding of predictive algorithms
• Expertise in dataviz and BI tools (Power BI, Tableau, Looker)
• Practice of Agile/Scrum methodology
• Knowledge of cybersecurity and regulatory compliance (especially in the banking sector)
• Experience with versioning and continuous integration tools (Git, CI/CD)
• Ability to innovate and propose new architectural solutions
• Start: ASAP
• Duration: 24 mois
• Remote: hybrid
• Location: Guyancourt, Île-de-France, FR
• Rate: 60-64 EUR/h
• Languages: French