Data Engineer

SESAMm; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading data analytics company is seeking a Data Engineer to contribute to an AI platform project transforming investment analysis. This role involves designing data architectures, collaborating with data scientists, and improving data workflows. Candidates should have a master’s degree and extensive experience with data pipelines and financial data. The position offers opportunities for personal and professional growth within a multicultural work environment.

Benefits

Remote work flexibility

Professional development opportunities

Mentorship and training programs

Collaborative work environment

Global exposure

Qualifications

• Masters degree in Data Engineering, Computer Science or a related technical field.
• 35 years of hands-on experience designing and maintaining large-scale data pipelines.
• Proven experience working with structured and unstructured financial data.

Responsibilities

• Design, build and maintain robust data pipelines for investment workflows.
• Develop scalable data infrastructure and ensure compliance with security standards.
• Collaboration with data scientists and investment professionals to operationalize analytics.
• Automate data workflows and contribute to continuous improvement.

Skills

Advanced proficiency in Python

Advanced proficiency in SQL

Experience with AWS

Experience with Azure

Experience with GCP

Experience with Databricks

Strong communication skills

Fluency in English

Education

Masters degree in Data Engineering

Masters degree in Computer Science

Tools

AWS

Airflow

Spark

Kafka

Job description

SESAMm

SESAMm () 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 90 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.

Key Responsibilities

• 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.

Desired Background and Skills

Education

• Masters degree in Data Engineering, Computer Science or a related technical field.

Experience

• 35 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.

Skills

• 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.

Benefits of Working at SESAMm

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 & 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.

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type : Full Time

Experience : years

Vacancy : 1