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
