Data Engineer
At a glance
Mid-level Data Engineering role at konradgroup. Toronto · full-time · CA$90,000–CA$125,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and oversee data pipelines and architectures designed to handle growth
- Put Azure Fabric, Databricks and Snowflake to work in data solutions
- Improve workflow reliability, scale and speed while protecting data and meeting standards
- Model, extract, transform and load data, then strengthen its quality for analytics
- Work with stakeholders to shape solutions around their data needs
What you bring
- At least three years as a data engineer or in a comparable role
- A bachelor’s degree or higher in computer science, data engineering, IT or a related area
- Practical skill with Azure Fabric, Databricks and Snowflake, plus pipeline tools, cloud services and storage
- Strong SQL or Python skills, with working knowledge of big data technologies such as Spark, Hadoop or Kafka
- Experience building dbt or similar transformation layers and production data models
Who this fits
This role suits a mid-level data engineer who can build production data models and ingestion frameworks, including batch and real-time flows. You’ll work with analysts, scientists, engineers and other stakeholders, and explain technical ideas to non-technical colleagues. The position is based in Toronto, with work-from-home flexibility and flexible hours. The stated compensation range is CAD 90,000 to 125,000 per year.
From the employer
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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