Data Engineer

Konrad; Toronto; On-site; CAD 110,000 - 130,000; Full time

Job summary

A digital consultancy is seeking a Data Engineer for their Toronto office. In this role, you'll design and maintain scalable data platforms while collaborating closely with data analysts and engineers. The ideal candidate has a Bachelor's degree, proficiency in Azure Fabric, Databricks, and Snowflake, and at least 3 years of experience. This full-time role offers flexible working hours and a commitment to diversity.

Benefits

Flexible Working Hours

Work from Home Flexibility

Culture of Learning & Development

Qualifications

• At least 3 years of professional experience as a Data Engineer or similar role.
• Hands-on experience with data pipeline tools and cloud services.
• Ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Design, build, and manage robust data pipelines and architectures.
• Collaborate with internal stakeholders to understand data needs.
• Ensure data security and compliance with industry standards.

Skills

Proficiency in data platforms

Strong programming skills in SQL

Experience with big data technologies

Analytical skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Fabric

Databricks

Snowflake

Job description

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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 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.

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

Socials, Outings & Retreats

Retirement Planning

Parental Leave Program

Culture of Learning & Development

Flexible Working Hours

Work from Home Flexibility

Service Recognition Programs

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

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.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

Software Development

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