Posted 3 months ago
Data Engineer
@ Konrad
Toronto, Ontario
Overview
Konrad is hiring a Data Engineer to design, build and maintain scalable data platforms and pipelines on Azure Fabric, Databricks and Snowflake. The work covers data modelling, ETL/ELT and collaboration with analysts and scientists. The posting lists a salary estimate of $90,000 to $125,000 and a hybrid arrangement.
Responsibilities:
- Design and manage data pipelines and architectures
- Implement solutions on Azure Fabric, Databricks and Snowflake
- Optimize workflow reliability, scalability and performance
- Perform data modelling and ETL/ELT
Requirements summary:
- Bachelor's degree in computer science or related field
- At least 3 years as a data engineer
- Proficiency in Azure Fabric, Databricks and Snowflake
- Strong SQL and Python skills
- Experience with Spark, Hadoop and Kafka
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-08-18
- First seen by our source
- 2026-10-10
- 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
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Data Engineering, Information Technology |
| Perks mentioned | Flexible hours, Generous parental leave, Retirement plan, Wellness |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Konrad
| Field | Value |
|---|---|
| Open jobs on Jobsy | 45 |
Who We Are
Konrad is an AI-driven digital consultancy and product-innovation firm providing AI, strategy, design, and technology services to the world’s most ambitious businesses and brands.
We empower industry-leading brands to navigate change, strategize, and build extraordinary custom experiences. In a landscape defined by human and machine collaboration, we bridge the gap between complex AI and beautiful product design. From strategy to implementation, our 750+ global experts deliver intelligent solutions trusted by 500 million people.
About The Role
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
- Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
- Experience building production-grade data models with optimized performance supporting operational decision-making.
- Experience designing batch and real-time ingestion frameworks with real-time monitoring
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
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