Connexion Inscription gratuite
Postuler

Publié hier

Sr Data Engineer

@ MPA Recruitment

Toutes ses offres

Toronto, Ontario

Temps plein
Postuler
SIGNAUX

En bref

MPA Recruitment is hiring a Senior Data Engineer in Toronto on a hybrid arrangement, full-time, at $110,000 to $120,000 a year for a global software consultancy. The role designs and builds large-scale data processing and persistence software for production systems, with technical leadership, mentoring and effort estimation within agile teams.

Responsabilités :

  • Design and develop large-scale data processing software
  • Own the full lifecycle: design, code, test, defect resolution
  • Work with architects to meet non-functional needs
  • Advise on effort estimates and technical implications
  • Coach and mentor team members

Résumé des exigences :

  • Strong software development in Java, Scala or Python
  • Experience with AWS, Azure, GCP or Databricks
  • Deployed large-scale data processing components to production
  • Proficient in SQL and analytical extensions
  • Automated testing and CI/CD experience

Outils et compétences

DatabricksAWSAzureGCPKafkaDockerKubernetes
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-14
Première détection par notre source
2026-11-15
Mise à jour du dossier source
2026-11-15

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

MPA Recruitment

Toutes ses offres
ChampValeur
Offres sur Jobsy8
Description

Sr Data Engineer

Toronto (hybird)

$110-120k

Global software consultancy

As a Senior Data Engineer, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.

Your responsibilities will include working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution. Working with Architects and Lead Engineers to ensure the software supports non-functional needs. Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality. Working with operations teams to ensure operational readiness. Advising customers and managers on the estimated effort and technical implications of user stories and user journeys. Coaching and mentoring team members

MINIMUM (ESSENTIAL) REQUIREMENTS:

• Strong software development experience in one of Java, Scala, or Python

• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.

• Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment

• Proficient in SQL and SQL extensions for analytical queries

• Solid understanding of ETL/ELT data processing pipelines and design patterns

• Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats

• Able to write quality, testable code and has experience of automated testing

• Experience with Continuous Integration and Continuous Deployment techniques

DESIRABLE:

• Experience of data pipeline development

• Experience of Docker and Kubernetes

• Experience of performance tuning

• Experience of data visualisation and complex data transformations

• Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products

• Expertise in continuous improvement and sharing input on data best practice

Emplois semblables

  • Data Engineer - Clinical Data Experience

    Toronto, ON
    Contrat

    Kaizen Technologies

    15+ ansCandidates need strong hands-on Python and PySpark skills, experience parsing CCD/C-CDA XML, and solid SQL and healthcare data knowledge. Experience with clinical terminologies such as LOINC, SNOMED CT and ICD-10, and with AWS services, is also sought.

    Python, PySpark, SQL, AWS Glue, AWS Lambda, AWS S3

  • Data Engineer

    Markham, ON
    Temps plein

    Amphenol Communications Solutions

    5+ ansCandidates need 5+ years of data or software engineering experience, advanced SQL and strong Python, hands-on Azure Data Factory and cloud data platform work, and experience with ETL, ELT and API integration. A bachelor's degree or equivalent experience is also required.

    Azure Data Factory, Microsoft Fabric, Git, QAD, Plex

  • Senior Data Engineer

    Ontario
    Temps plein

    LTM

    3+ ansLTM needs candidates with 3 to 5 years of Scala experience and hands-on work with Hadoop and Spark for large data sets. Strong SparkSQL skills, testing discipline and a habit of keeping up with big data technology are expected.

    Scala, Spark, Hadoop, SparkSQL

  • Data Engineer

    Toronto, ON
    Temps plein

    Grand Challenges Canada

    3+ ansCandidates need 3+ years in data or analytics engineering, with hands-on Microsoft Fabric experience of at least one year. Strong SQL and Python (PySpark) skills and experience delivering a medallion or lakehouse architecture are required, along with familiarity with Microsoft Purview or similar governance tools.

    Microsoft Fabric, OneLake, Data Factory, Spark Notebooks, Microsoft Purview, Azure Synapse Analytics

  • Data Engineer

    Calgary, AB +7
    Temps plein

    Canadian Cancer Society

    3+ ansCandidates need a degree in computer science or a related field, 3 to 5 years of progressively senior data engineering experience, and strong skills in Microsoft Fabric, Apache Spark, SQL and Python. French is highly preferred.

    Microsoft Fabric, Apache Spark, Azure DevOps, Microsoft Purview, Salesforce, Python

  • Senior Data Engineer

    Toronto, ON

    Questrade

    5+ ansCandidates need 5+ years of data engineering experience, a bachelor's degree or equivalent practical experience, and advanced SQL and Python skills. They also need hands-on experience with Spark or Dataproc, Kubernetes, GCP data services, dbt and Terraform.

    dbt, Apache Spark, Google Cloud Dataproc, Kubernetes, BigQuery, Cloud Composer

  • Data Engineer II - QuantumBlack, AI by McKinsey

    Toronto, ON
    Temps plein

    QuantumBlack, AI by McKinsey

    2+ ansCandidates need a computer science or engineering degree, or equivalent experience, and 2+ years building data solutions. Strong Python and SQL skills, experience with end-to-end data pipelines for AI or BI, and familiarity with cloud platforms are required.

    Python, SQL, Spark, dbt, LangChain, Databricks

  • Sr. Data Engineer

    Toronto, ON
    Temps plein

    HRbrain Inc.

    10+ ansCandidates need about 10 years of broad technical experience, strong skills in Informatica IICS, Snowflake, Python and AWS, and strong communication and problem-solving abilities. Experience with QA or validation frameworks and Data Vault 2.0 is a nice-to-have.

    Informatica IICS, Snowflake, Python, AWS, Tableau

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.