Data Engineer

About The Role FDM est une société mondiale de conseil en affaires et en technologies, offrant des solutions adaptées aux besoins des clients et des secteurs grâce à ses cinq pôles d’expertise : Ingénierie logicielle, Données & analytique, Opérations TI, Gestion du changement & transformation, et Risques, réglementation & conformité. FDM recherche un(e) spécialiste en ingénierie des données basé(e) à Montréal pour soutenir un projet dans le secteur des services financiers. La durée prévue de cette mission est initialement de 12 mois, avec possibilité de prolongation. Ce poste est en mode hybride et requiert une présence au bureau 3 jours par semaine. FDM is a global business and technology consultancy delivering client and industry driven solutions through our 5 core specialist Practices; Software Engineering, Data & Analytics, IT Operations, Change & Transformation, and Risk, Regulation & Compliance. FDM is seeking a Data Engineer located in Montreal to support a project in the financial services sector. Involvement in this project is anticipated to last initially 12 months but may be extended. This role will be hybrid with requirements to be in office 3 days per week. About You Responsabilités : Développer et optimiser des pipelines data (Spark/Scala sur Databricks) et des flux Snowflake (transformations/validations) Implémenter la logique de reporting réglementaire et assurer le support production + RCA Automatiser via Python (contrôles opérationnels, tests unitaires/BDD) Orchestrer les traitements batch (Autosys) et contribuer aux revues de code / rituels Agile Maintenir la qualité : documentation, standards de code et bonnes pratiques Profil recherché : Bac en informatique/ingénierie (ou équivalent) + 3 ans d’expérience en data engineering/développement Java/Scala + bases solides Spark (debug, analyse d’échecs) ; Snowflake + SQL avancé (optimisation) Python pour scripting/automation/testing ; SDLC et méthodes Agile Bonne communication et aisance avec des données financières complexes Atouts : Trade lifecycle, Actions/Options, données Front Office Unix/Linux, shell, Autosys ; environnements data à grande échelle / cas d’usage GenAI _________________________________________________________________________________________________________________________ What you'll do in the role: Assist in developing and enhance Spark/Scala data pipelines on Databricks Implement regulatory reporting business reasoning and assist production/RCA Develop Python automation, operational controls, and unit/BDD tests Transform/validate data in Snowflake and maintain data quality/documentation Manage batch workflows in Autosys and participate in Agile/code reviews What you’ll bring Bachelor’s in CS/Engineering (or equivalent experience) with 3+ years in data engineering/software development Strong programming in Java/Scala with Apache Spark fundamentals (debugging, failure analysis) Experience with Snowflake (preferred) and solid SQL skills (joins, indexing, transactions, query optimization) Python for scripting/automation/testing; familiarity with BDD and unit testing Familiarity with SDLC, clean coding practices, and Agile ways of working Clear communication and ability to work with complex financial datasets Nice to have Trade lifecycle knowledge; exposure to Equities/Options and Front Office trade/order data Unix/Linux and shell scripting; batch schedulers (e.g., Autosys) Exposure to GenAI use cases and large-scale data environments About FDM FDM is an award-winning global business and technology consultancy powering the people behind tech and innovation for over 30 years. We collaborate with world-leading companies to identify the expertise they need, exactly when they need it. We have helped successfully launch nearly 25,000 careers globally to date and are a trusted partner to over 300 companies worldwide. FDM has 2500+ employees worldwide, with over 80 nationalities working together as a team. From our origins in Brighton, UK, FDM now has 19 centers located across North America, Europe and Asia-Pacific and is now on the FTSE4Good Index. Dedicated to Diversity, Equity and Inclusion FDM Group’s mission is to make tech and business careers accessible for everyone. Our diverse team of 80+ nationalities thrive on differences, fuels innovation through varied experiences, and celebrates shared successes. As an Equal Opportunity Employer that is listed on the FTSE4Good Index, FDM ensures every qualified applicant, regardless of race, color, religion, sex, sexual orientation, national origin, age, disability or any other status protected by federal or provincial law, gets the chance they deserve. Please note that FDM’s recruitment and assessment processes involve third-party tools that use artificial intelligence. ATTENTION: MONTREAL OPENINGS: Due to the operational requirements of these roles, including frequent communication with clients and FDM employees located outside Quebec, the duties associated with these positions require proficiency in English. / ATTENTION : OFFRES À MONTRÉAL : En raison des exigences opérationnelles de ces postes, y compris la communication fréquente avec des clients et des employés de FDM situés en dehors du Québec, les tâches associées à ces postes exigent une maîtrise de l'anglais.

Develop and optimize data pipelines using Spark, Scala, and Databricks while managing data transformations in Snowflake. Implement regulatory reporting logic, automate operational controls with Python, and orchestrate batch workflows via Autosys.

Requires a Bachelor's degree in Computer Science or Engineering with over 3 years of experience in data engineering or software development. Proficiency in Java/Scala, Spark, SQL, and Python is essential, along with familiarity with Agile methodologies.

• SQLPreferred
• AgilePreferred
• JavaPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Spark
• Scala
• Databricks
• Snowflake
• SQL
• Python
• Java
• Autosys
• Agile
• SDLC
• Unit Testing
• BDD
• Unix/Linux
• Shell Scripting
• Data Engineering
• Regulatory Reporting

• Data & Analytics
• Technology
• Consulting
• Engineering
• Finance & Accounting

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Apply by

Sep 23, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level