Postuler

Publié il y a 19 jours

Data Engineer

@ Keasis

Montréal, Québec

Contrat
Postuler
SIGNAUX

Résumé des exigences :

  • • Client Engagement: Act as the technical face of the team, gathering requirements, presenting data solutions, and managing stakeholder expectations.
  • Required Skills & Qualifications
  • • Experience: 5–7 years of professional experience in data engineering.
  • • Client-Facing Skills: Proven experience in client-facing roles, with excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders.
  • Preferred Qualifications
  • • Experience working in an Agile/Scrum environment.
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-10-22
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Description

Job Title: Data Engineer (Pyspark & Python)

Location: Montreal, QC (Hybrid)

Type: Contract

Job Overview:

We are seeking a skilled Senior Data Engineer with 5 to 7 years of experience specializing in Python and PySpark. In this role, you will design, build, and optimize robust data pipelines while serving as a primary technical point of contact for clients. The ideal candidate bridges the gap between complex data engineering and strategic client communication.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain scalable data processing pipelines using Python and PySpark.

• Client Engagement: Act as the technical face of the team, gathering requirements, presenting data solutions, and managing stakeholder expectations.

• Optimization & Performance: Tune Spark jobs for optimal performance, troubleshooting bottlenecks in large-scale data environments.

• Collaboration: Partner with cross-functional teams, including data scientists, analysts, and project managers, to deliver business-critical data products.

Required Skills & Qualifications

• Experience: 5–7 years of professional experience in data engineering.

• Core Technical Skills: Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).

• Client-Facing Skills: Proven experience in client-facing roles, with excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders.

• Data Ecosystems: Solid understanding of SQL, data warehousing concepts, and cloud data platforms (AWS, Azure, or GCP).

• Software Practices: Familiarity with Git, CI/CD pipelines, and writing clean, maintainable code.

Preferred Qualifications

• Experience working in an Agile/Scrum environment.

• Knowledge of orchestration tools like Apache Airflow.

Emplois semblables

  • Senior Data Engineer

    Montréal, QC
    Temps plein

    Foresight

    5+ ansCandidates need 5+ years of building production data pipelines, strong Python and advanced SQL, and deep relational data modeling in Postgres. They also need experience with messy data, workflow orchestration, AWS data services and a testing mindset for data.

    AWS S3, Python, SQL

  • Senior Data engineer

    Montréal, QC
    Temps plein

    Highspring

    5+ ansCandidates need a bachelor's degree in a related field and 5+ years of data engineering experience, with hands-on Microsoft Azure and Microsoft Fabric work. Strong Python or PySpark and SQL skills, plus Git, Azure DevOps and CI/CD experience, are required.

    Azure Data Factory, Azure Databricks, Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL

  • Data Engineer

    Lachine, QC
    45–58,09 $/hContrat

    Randstad Canada

    3+ ansRandstad Canada needs candidates with at least 3 years of full-time data engineering or business intelligence experience. They must know advanced SQL, cloud data warehousing, Matillion, AWS services and SAP data structures.

    Snowflake, Matillion, AWS, Tableau, Power BI, SAP ECC

    Data Engineer

    Lachine, QC
    45–58,09 $/hContrat

    Randstad Canada

    3+ ansRandstad Canada needs candidates with 3+ years in data engineering, business intelligence or analytics engineering. Candidates need expert SQL, star and snowflake modeling, Snowflake and Matillion experience, AWS services and SAP data knowledge.

    Snowflake, Matillion, AWS, SAP ECC, SAP S/4HANA, Tableau

  • Data Engineer Senior

    Montréal, QC
    Temps plein

    CGI

    Candidates need senior experience in data engineering and data solution design, including work on modern analytics platforms.

    Azure

  • Data Engineer - Canada - On Site

    Westmount, QC

    Vensure Employer Solutions

    2+ ansCandidates need previous data engineering or similar experience, advanced Excel skills and 2-3 years of payroll, benefits or tax administration experience, with PEO or ASO experience preferred.

    Excel

  • Senior Data Engineer

    Montréal, QC

    LGS, une Société IBM / an IBM Company

    5+ ansCandidates need 5 to 10 years of data engineering experience, advanced SQL and Python skills, and hands-on experience with Azure Data Factory, Databricks, Data Lake Storage and Synapse. Bilingual French and English is required.

    Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Python, SQL

  • Data Engineer - Montreal

    Montréal, QC

    Yeah! Global

    Candidates need a bachelor's degree in computer science, IT or a related field, and proven data engineering experience. Strong SQL, Python, Java or Scala skills, and familiarity with big data and cloud platforms are required.

    SQL, Hadoop, Spark, Kafka, Talend, Apache NiFi

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.