<h3>SESAMm</h3>SESAMm (www.sesamm.com) extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk. We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors.SESAMm is growing quickly, with over 70 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo.Key technologies: Alternative Data, Natural Language Processing, Machine Learning and Quantitative Analysis.Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes?At SESAMm, everyone brings their ideas, skills, and creativity. We value collaboration, support and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. We are proud of the work accomplished and to participate in the success of this great adventure! The Data Engineer Role 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.<h3>Key Responsibilities</h3><ul><li>Data Architecture &amp; 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.</li><li>Scalability, Performance &amp; Reliability: Develop scalable data infrastructure, monitor and optimize data flow performance, reliability, and data quality. Ensure compliance with security, privacy, and governance standards.</li><li>Collaboration with Data Science &amp; 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.</li><li>Automation &amp; 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.</li></ul><h3>Desired Background and Skills Education</h3><ul><li>Master’s degree in Data Engineering, Computer Science, or a related technical field.</li></ul><h3>Experience</h3><ul><li>3–5 years of hands-on experience designing and maintaining large-scale data pipelines.</li><li>Proven experience working with structured and unstructured financial data or other complex data domains.</li><li>Experience collaborating in finance, consulting, or private equity environments is a must.</li></ul><h3>Skills</h3><ul><li>Advanced proficiency in Python and SQL for data processing and transformation.</li><li>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).</li><li>Strong understanding of data modeling, schema design, and API integration.</li><li>Experience with big data frameworks (Spark, Kafka, Delta Lake, etc.) is highly desirable.</li><li>Familiarity with version control (Git) and DevOps practices (CI/CD pipelines).</li><li>Strong communication skills and ability to work cross-functionally with non-technical stakeholders. Fluency in English; French is a plus.</li></ul><h3>Benefits of Working at SESAMm</h3>Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.Work Environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.Career Development: SESAMm is growing rapidly, creating ongoing opportunities for personal and professional growth. This dynamic environment allows you to shape the company’s culture and evolution. Professional Development: Work alongside industry-leading experts and gain valuable exposure to advanced AI and ML technologies applied in private equity. This role offers a unique opportunity to deepen your expertise in these cutting-edge applications. Mentorship &amp; Training: SESAMm provides structured training and mentorship, with a strong emphasis on knowledge-sharing. Internally and externally led training sessions are organized, and we offer access to educational platforms, encouraging you to expand your AI skill set. Global Perspective: Collaborate with teams based across Europe and the United States, gaining hands-on international experience in a fast-paced, high-impact environment. This global perspective helps broaden your skill set and provides insights into international market dynamics.Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.

SESAMm enables companies to extract critical insights from the internet with AI. We provide ESG, sentiment, and thematic analytics by analyzing over 20 billion articles and messages using natural language processing. Our clients are major private equity firms, asset managers, index providers, and global corporations.

Data Engineer

<h3>SESAMm</h3>SESAMm (www.sesamm.com) extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk.&nbsp;We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors.SESAMm is growing quickly, with over 70 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo.Key technologies: Alternative Data, Natural Language Processing, Machine Learning and Quantitative Analysis.Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes?At SESAMm, everyone brings their ideas, skills, and creativity. We value collaboration, support and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. We are proud of the work accomplished and to participate in the success of this great adventure!&nbsp;The Data Engineer Role 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.<h3>Key Responsibilities</h3><ul><li>Data Architecture &amp; 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.</li><li>Scalability, Performance &amp; Reliability:&nbsp;Develop scalable data infrastructure, monitor and optimize data flow performance, reliability, and data quality. Ensure compliance with security, privacy, and governance standards.</li><li>Collaboration with Data Science &amp; 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.</li><li>Automation &amp; 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.</li></ul><h3>Desired Background and Skills Education</h3><ul><li>Master’s degree in Data Engineering, Computer Science, or a related technical field.</li></ul><h3>Experience</h3><ul><li>3–5 years of hands-on experience designing and maintaining large-scale data pipelines.</li><li>Proven experience working with structured and unstructured financial data or other complex data domains.</li><li>Experience collaborating in finance, consulting, or private equity environments is a must.</li></ul><h3>Skills</h3><ul><li>Advanced proficiency in Python and SQL for data processing and transformation.</li><li>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).</li><li>Strong understanding of data modeling, schema design, and API integration.</li><li>Experience with big data frameworks (Spark, Kafka, Delta Lake, etc.) is highly desirable.</li><li>Familiarity with version control (Git) and DevOps practices (CI/CD pipelines).</li><li>Strong communication skills and ability to work cross-functionally with non-technical stakeholders. Fluency in English; French is a plus.</li></ul><h3>Benefits of Working at SESAMm</h3>Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.Work Environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.Career Development: SESAMm is growing rapidly, creating ongoing opportunities for personal and professional growth. This dynamic environment allows you to shape the company’s culture and evolution. Professional Development: Work alongside industry-leading experts and gain valuable exposure to advanced AI and ML technologies applied in private equity. This role offers a unique opportunity to deepen your expertise in these cutting-edge applications. Mentorship &amp; Training: SESAMm provides structured training and mentorship, with a strong emphasis on knowledge-sharing. Internally and externally led training sessions are organized, and we offer access to educational platforms, encouraging you to expand your AI skill set. Global Perspective: Collaborate with teams based across Europe and the United States, gaining hands-on international experience in a fast-paced, high-impact environment. This global perspective helps broaden your skill set and provides insights into international market dynamics.Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.

Data Engineer

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SESAMm

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