Senior Data Engineer
At a glance
Senior Data Engineering role at konradgroup. Toronto · full-time · CA$120,000–CA$145,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data pipelines and architectures that can support growing workloads
- Use Azure Fabric, Databricks and Snowflake to deliver data platform solutions
- Tune data workflows for dependable operation, scale and performance
- Model data and handle extraction, transformation and loading across ETL/ELT work
- Work with stakeholders to shape data solutions, while protecting data and improving its quality
What you bring
- At least four years working as a data engineer or in a comparable position
- A bachelor’s degree or higher in computer science, data engineering, IT or a related area
- Hands-on ability with Azure Fabric, Databricks and Snowflake, plus pipeline tools, cloud services and storage
- Strong SQL and Python skills, or proficiency in related programming languages
- Working knowledge of big data technologies such as Spark, Hadoop or Kafka
Who this fits
This senior role suits an experienced data engineer who can deliver platform and pipeline work while communicating technical ideas to non-technical partners. The role is based in Toronto and offers work-from-home flexibility.
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 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.
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