Hiring.Camp

Data Engineering Expert

Croesus

·

2 weeks ago

Apply
Location
Laval, Canada · Montreal
Workplace
Hybrid
Type
Full-time
Department
Engineering
Experience
5+ years
Source
Workday

Description

Company Description


Croesus provides innovative, high-performance, and secure wealth management solutions that include portfolio management systems, portfolio rebalancing tools, and application programming interfaces (APIs). These solutions empower wealth management professionals to improve their productivity, enhance their client relationships, make informed decisions, and maximize the management of their assets under management.


Croesus’s mission is to provide a superior experience to its clients, users, partners, and employees and to positively impact the community. With more than 200 employees in its Montréal, Toronto, and Geneva offices, Croesus has won several industry awards for being a high-quality solution provider and an outstanding employer.


Position


Job Overview:


The Data Engineering Expert designs, develops, and optimizes the company's data pipelines and analytical architectures within a modern, Databricks- focused Lakehouse environment. They ensure the collection, transformation, governance, and high availability of reliable data to power analytics and artificial intelligence solutions. The incumbent also ensures the operational performance, stability, and incident resolution for production data flows.


Your Daily Responsibilities:

  • Lakehouse Architecture & Development: Design, optimize, and maintain scalable and high-performing data pipelines (ELT/ETL) by implementing the Medallion architecture (Bronze, Silver, Gold layers) and Spark distributed processing on Databricks.
  • Modernization & Migration: Analyze and migrate existing data pipelines to the Databricks platform while optimizing storage and processing times.
  • Governance & Quality: Apply governance and metadata management standards (notably via Unity Catalog) to ensure constant data quality and traceability across datasets.
  • Operations, Observability & Support: Implement automated pipeline orchestration, monitoring, and alerting, and actively investigate and resolve production incidents.
  • Cross-Functional Collaboration: Partner with Product, Innovation, Data, and Systems teams to translate business requirements into reliable, well-documented data models.

What We Are Looking For


Strong proficiency in French is mandatory as all internal meetings are conducted in French.



Education & Experience:

  • Education: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
  • Experience: Minimum of 5 years of experience in data engineering or analytical solution development, including hands-on experience designing and operating data pipelines.
  • Technical Expertise: Hands-on production experience with Databricks handling large data volumes (strongly preferred).
  • Assets: Experience in SaaS/multi-tenant environments or AI-related projects.

Technical Skills:

  • Languages & Frameworks: Proficiency in Python and distributed data processing frameworks (Spark).
  • Architectures & Data Flows: Strong understanding of Lakehouse architectures, ELT/ETL pipeline design, and orchestration mechanisms.
  • Governance & DevOps: In-depth knowledge of Unity Catalog (or equivalent), metadata management, and DataOps/DevOps practices.
  • Monitoring: Hands-on experience implementing monitoring, observability, and alerting strategies.

Soft Skills:

  • Rigor & Autonomy: Strong sense of accountability, commitment to data quality, and design rigor.
  • Problem Solving: Strong analytical mindset when addressing complex challenges, with an automation-first approach.
  • Teamwork: Excellent communication skills and proven ability to collaborate effectively across diverse technical teams.

Why Join Croesus?

  • À la carte vacations
  • Annual salary + Corporate profit-sharing plan
  • Hybrid work, 2 days a week in office (Laval & Montreal offices)
  • Sports program
  • Gym available at our Laval head office
  • Telemedicine + group insurance (super useful for the family 😉)
  • Group RRSP
  • Proximity to Montmorency & Mcgill metro
  • Ongoing training and development plan
  • Referral bonus
  • Indoor and outdoor parking & electric car recharging
  • Croesus boutique
  • Beautifully renovated and spacious office
  • Complimentary breakfast every morning
  • 2X per month, Happy hours, prepared by our Croesus Life Partner


Are you interested in this challenge? Do you believe you have the qualities and expertise required for this position? Please complete your application today.


Although all applications are carefully analyzed, we will communicate only with those selected. Thank you for your interest in Croesus.

Skills

PythonSparkDatabricksData EngineeringETLDevOps

Languages

French

Similar Jobs

14

Expert Data Engineering & Data Architecture (all genders)

diconium Jobs·Berlin, State of Berlin·Hybrid

8mo ago

Data Engineering Expert - Search Ads Architecture

Back to India·Bengaluru, Karnataka

Senior Expert of Data Engineering & Storage

Insurance Authority·Jeddah, Mecca Region·Onsite

3w ago

Senior IT Subject Matter Expert – Data Migration & Engineering

Data Intelligence LLC·Huntsville, Alabama

2mo ago

Civil Engineering Expert - AI & Data

Conxai·Munich, Bavaria

8mo ago

Expert IT Analyst - data engineering area

B2Bnetwork·Remote

D&T Expert - Data & AI Data Engineering

dsm-firmenich·Barcelona, Catalonia

8mo ago

Software Developer with DevOps and Data Engineering Expertise

Tech Aalto Pte Ltd·Singapore

Forward Deployed Data Engineering - Experienced Associate

Pwc·Boston, Massachusetts +2

3mo ago

Senior Software Engineer – AI Tools | Data Engineering | Experienced Hire

Sig·New York City, New York

8mo ago

Experienced Support Engineering Data Specialist

Boeing·US·Onsite

2w ago

Experienced Support Engineering Data Specialist

Boeing·US·Onsite

2w ago

Head of Engineering - Financial Data Experience

Adyen·Amsterdam, North Holland

3w ago

director, engineering – Data Governance & AI Experience

Starbucks·Seattle, Washington

4mo ago