Senior Data Engineer
SalaryCA$120k – CA$145k
LocationToronto , Toronto
Work modehybrid
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentData
Company size501–1,000 people
PostedAug 18, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree or higher in Computer Science, Data Engineering, Information Technology, or a related field
4+ 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
Ability to effectively communicate technical concepts clearly to non-technical stakeholders
Certifications related to Azure Data Engineering, Databricks, or Snowflake
Familiarity with DevOps practices and CI/CD pipelines
Skills
Azure Fabric
Databricks
Snowflake
SQL
Python
Spark
Hadoop
Kafka
Benefits
Health insurance
Retirement planning
Parental leave
Tech allowance
Travel allowance
Flexible hours
Remote work
Service recognition
Social events
Learning and development
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Senior 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.
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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.
•
4+ 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.
•
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
•
Annual tech & travel allowance
•
Flexible Working Hours
•
Work from Home Flexibility
•
Service Recognition Programs
•
Socials, Outings & Retreats
•
Culture of Learning & Development
Legal
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 $120,000 to $145,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
Hiring process
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.