Data Engineer, SESAMm
Big data & artificial intelligence for investment firms
Be an early applicant
Big data & artificial intelligence for investment firms
21-100 employees
Be an early applicant
21-100 employees
Company mission
To empower investment professionals with highly modular AI platforms.
Role
Who you are
- Master’s degree in Data Engineering, Computer Science, or a related technical field
- 3–5 years of hands-on experience designing and maintaining large-scale data pipelines
- Proven experience working with structured and unstructured financial data or other complex data domains
- Experience collaborating in finance, consulting, or private equity environments is a must
- Advanced proficiency in Python and SQL for data processing and transformation
- Hands-on experience with cloud data platforms (e.g. AWS, Azure, GCP, or Databricks) and data workflow orchestration tools (e.g. Airflow, Prefect, or Dagster)
- Strong understanding of data modeling, schema design, and API integration
- Experience with big data frameworks (Spark, Kafka, Delta Lake, etc.) is highly desirable
- Familiarity with version control (Git) and DevOps practices (CI/CD pipelines)
- Strong communication skills and ability to work cross-functionally with non-technical stakeholders. Fluency in English; French is a plus
What the job involves
- SESAMm, in partnership with one of the largest private equity (PE) firms in the United States, is seeking a data engineer to join an exciting AI platform project designed to transform investment analysis
- This project is at the cutting edge of private equity, leveraging advanced artificial intelligence (AI) to improve data-driven decision-making
- As a data engineer, you will contribute to a groundbreaking platform used by deal teams to accelerate and enhance due diligence
- Data Architecture & Pipeline Development: Design, build, and maintain robust data pipelines and architectures to support private equity investment workflows. Ensure seamless ingestion, transformation, and integration of large, diverse datasets (financial, ESG, market, and alternative data) from multiple internal and external sources
- Scalability, Performance & Reliability: Develop scalable data infrastructure, monitor and optimize data flow performance, reliability, and data quality. Ensure compliance with security, privacy, and governance standards
- Collaboration with Data Science & Investment Teams: Partner with data scientists, investment professionals, and operations teams to operationalize analytics. Enable efficient data access, versioning, and reproducibility across the AI and analytics platform
- Automation & Continuous Improvement: Automate data workflows, implement CI/CD pipelines, and contribute to the continuous improvement of data engineering practices. Evaluate new tools and architectures to enhance efficiency, scalability, and cost-effectiveness
Our take
The investment industry is rapidly evolving, the democratisation of Artificial Intelligence and the tremendous amount of alternative data presents opportunities and challenges. With regards to web data, there is a huge and growing corpus of unstructured content online in hundreds of different languages, which requires increasingly sophisticated Natural Language technologies to extract valuable insights on public and private companies.
SESAMm have developed a modular Natural Language Processing Platform which enables data scientists and investment professionals to generate insights and analytics from a huge data-lake of 20B web-based articles and messages. It covers more than 5M entities and insights can be delivered via an API, web-based dashboards, or pre-processed daily data feeds.
The result is that SESAMm's software turns big data into smart data to give users, typically major hedge funds, banks, and asset managers, a competitive advantage with which to manage assets. Such clients include Carlyle, MUFG and Nomura.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2023
$40.4m
SERIES B
Jan 2021
$8.7m
SERIES B
Total funding: $58.2m
Company HQ
Saint-Georges, Paris, France
Leadership
Florian Aubry
(Co-Founder & CTO)Studied Mechatronics at INSA de Strasbourg before co-founding SESAMm.
Pierre Rinaldi
(Co-Founder & COO)They hold a Master's degree in Corporate Finance from Burgundy School of Business.
Sylvain Forté
(Co-Founder & CEO)They hold a Master's degree in Engineering from the University of INSA Strasbourg.
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