Senior Data Engineer

Toronto, ON
Hybrid
Posted Aug 18, 2026
1 position

$120,000–$145,000 / year

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will design, build, and maintain scalable data platforms and robust pipelines using technologies like Azure Fabric, Databricks, and Snowflake. Additionally, you will collaborate with cross-functional teams to optimize data workflows and ensure high standards of data security and quality.

Job details

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 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. * 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 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. While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted. #LI-Hybrid

What you’ll do

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 4 years of professional experience in data engineering. Proficiency in SQL, Python, and big data technologies is required, along with strong analytical and communication skills.