Data Engineer

Description

Summary: Seeking a Data Engineer to design, develop, and optimize data pipelines and integration processes, ensuring high data quality, scalability, and compliance with governance standards. Highlights: 1. Focus on building and maintaining robust data integration solutions 2. Opportunity to optimize data quality, performance, and reliability 3. Collaborate with diverse technical and business teams **Who are we?** As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1000 expert consultants, representing 35 different nationalities, collaborates across 12 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore. Committed to sustainability (Ecovadis Silver), diversity (gender index: 94\), security (ISO27001\) and quality of work life, Quanteam is a forward\-thinking enterprise. **Our Expertise** With a dual expertise in both business and IT, Quanteam supports its corporate clients (investment banks, asset management companies, private and retail banks, custodians, etc.) across the entire Front\-to\-Back spectrum in evolving their business activities and transformation projects. Our teams are organized into 5 expertise areas: ➡ Quantitative Finance ➡ Risk, Compliance, and Regulatory ➡ Operations and Finance ➡ Transformation and Organization ➡ Information Systems In 2025, Quanteam generated a revenue of €120 million. **We are looking for a Data Engineer** **Context** We are looking for a **Data Engineer** to join a dynamic environment focused on building and maintaining data integration solutions. This role is centered on designing and optimizing **ETL/ELT pipelines**, ensuring data quality, performance and reliability, while working closely with business and technical stakeholders. **Main Mission** To design, develop and optimize **data pipelines and integration processes**, ensuring high data quality, scalability and compliance with governance standards. **Main Responsibilities** * Design, develop, test and maintain robust **ETL/ELT pipelines** to ingest, transform and load data into data warehouses and data lakes * Configure and manage ETL tools (e.g., Semarchy, Stambia, Talend, DataStage) * Write and optimize **SQL queries** and contribute to data modeling (ODS, staging, core analytics) * Implement **data quality checks, lineage and monitoring** processes * Manage job orchestration using **VTOM / Virtual\-M** (or similar tools), including monitoring and troubleshooting * Automate processes using **UNIX/Linux scripting** (shell, etc.) * Collaborate with data architects, analysts and business teams to translate requirements into scalable solutions * Optimize pipeline performance and identify bottlenecks * Ensure **data governance, security and compliance** (data masking, access control, audit trails) * Produce technical documentation and support knowledge transfer * Stay up to date with **industry trends and best practices** in data engineering **Profile \& Skills** * Degree in Computer Science, Data Engineering or related field * Strong analytical and problem\-solving mindset * Detail\-oriented and able to work in a fast\-paced environment * Strong communication skills, with ability to interact with international teams * Fluent in English (French is a plus) **Technical Skills** * Strong experience with **ETL/ELT tools** (Semarchy, Stambia, Talend, DataStage or similar) * Advanced **SQL skills** and experience with relational databases (Oracle, SQL Server, PostgreSQL, Snowflake) * Experience with **VTOM / workload automation tools** * Knowledge of **UNIX/Linux scripting** (shell, awk, sed; Python is a plus) * Solid understanding of **data warehousing concepts, ETL patterns, data quality and lineage** **Nice to have** * Experience with **cloud platforms (GCP)** * Familiarity with **data governance and data cataloging** * Exposure to **big data technologies (Spark, Hadoop)** * Understanding of **CI/CD and DevOps practices for data pipelines** **Hybrid work model**, with presence required in **Lisbon office.** **If you feel this opportunity is right for you, send us your CV and join our team!** Localização do trabalho: Trabalho remoto híbrido em Lisboa