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Senior Data Engineer / Azure Data Factory Developer

@ Myticas Consulting

Toronto, Ontario

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Overview

Myticas Consulting is hiring two senior data professionals for a contract data engineering and integration initiative for its client: one Databricks and Apache Spark data engineer, and one Azure Data Factory developer focused on ETL. One role is onsite or hybrid in Toronto and the other is offshore, and both must complete onboarding by the end of October 2026.

Responsibilities:

  • Design and maintain Databricks and Spark data processing solutions
  • Build data ingestion and transformation workflows
  • Design and maintain Azure Data Factory pipelines
  • Develop ETL and data integration across source and target systems
  • Troubleshoot and optimize pipeline execution

Requirements summary:

  • Strong Databricks and Apache Spark experience
  • Strong Azure Data Factory experience
  • Working knowledge of Databricks
  • Data integration and ETL pipeline experience

Tools & skills

Source and dates

Source type not verified · jsonld

Employer posting date
2026-10-02
First seen by our source
2026-10-16
Source record updated
2026-10-16

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Myticas Consulting

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Myticas Consulting is a leading edge IT Staffing and Recruitment organization with locations throughout North America.

Full company description

Myticas Consulting is a proven, industry-leading IT staffing and recruitment organization with offices in major North American cities, including Ottawa, Ontario, and Chicago, Illinois, as its prime headquarters. Our large team of IT recruitment and sales professionals have over 50+ years of combined experience providing the highest quality of Telecommunication Engineering, ERP and IT Software Development resources, to both Public and Private sector enterprise level environments. Here at Myticas, we strive to continually provide unmatched quality of IT resources, that prove to stand the test of time, and go above and beyond all project expectations and deliverables. The "motto"​ at Myticas is not only to work with you, but to understand what success really looks like for your organization, and to deliver the IT staffing needs that matter most to increasing both the functionality and efficiency of your environment. With our evolving expertise in Telecom, ERP, DW/BI and EAI resources, and a guaranteed replacement program for all our partners, the defined win-win scenario has never been presented in a more simple manner.

LinkedIn followers
216,509
People associated on LinkedIn
65
Reported office locations
  • 83 Hinton Ave., Ottawa, Ontario K1Y0Z7, CA
  • 3701 Algonquin Rd. Suite 580, Rolling Meadows, Illinois 60008, US
Other recorded names
  • Myticas Consulting
Specialties
  • Embedded Engineering and Software Engineering
Profile identifies a recruitment agency
Yes

Myticas Consulting is a proven, industry-leading IT staffing and recruitment organization with offices in major North American cities, including Ottawa, Ontario, and Chicago, Illinois, as its prime headquarters. Our large team of IT recruitment and sales professionals have over 50+ years of combined experience providing the highest quality of Telecommunication Engineering, ERP and IT Software Development resources…

FieldValue
IndustryStaffing and Recruiting
Company size51-200 employees
HeadquartersOttawa, Ontario
Organization typePrivately Held
SpecialtiesEmbedded Engineering and Software Engineering
Open jobs on Jobsy68
LinkedInView page
Job description

Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure Data Factory Developer focused on ETL and data integration. The engagement will include one onsite/hybrid resource in Toronto and one offshore resource, with both resources required to complete onboarding before the end of October 2026.

Role 1: Senior Data Engineer, Databricks / Apache Spark

Delivery Model: This role may be filled by either the onsite/hybrid Toronto resource or the offshore resource. Across the two positions, one resource will be onsite and one offshore.

Responsibilities

  • Design, develop and maintain data processing solutions using Databricks
  • Develop and optimize Apache Spark jobs for data transformation and processing
  • Build data ingestion and transformation workflows
  • Develop scalable, reusable and unit-tested data engineering components
  • Troubleshoot Databricks and Spark workloads
  • Support deployment, issue resolution and enhancement activities
  • Produce technical documentation and support knowledge transfer

Required Skills

  • Strong Databricks experience
  • Strong Apache Spark experience
  • Data transformation and processing
  • Data ingestion and pipeline development

Role 2: Senior Azure Data Factory Developer

Delivery Model: This role may be filled by either the onsite/hybrid Toronto resource or the offshore resource. Across the two positions, one resource will be onsite and one offshore.

Responsibilities

  • Design, build and maintain Azure Data Factory pipelines and workflows
  • Develop ETL and data integration solutions across source and target systems
  • Support integrated processing and orchestration using Databricks where required
  • Configure pipeline monitoring and error handling
  • Troubleshoot and optimize data movement and pipeline execution
  • Support testing, deployment and operational stabilization
  • Produce technical documentation and support knowledge transfer

Required Skills

  • Strong Azure Data Factory experience
  • Working knowledge of Databricks
  • Data integration experience
  • ETL pipeline development and support

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