Role Overview As a Junior Data Engineer, you'll support client projects by building data pipelines, writing SQL queries, and assisting with data platform implementations. This is an entry-level role ideal for recent graduates of our training programs or candidates with 0-2 years of experience. You'll receive hands‑on mentorship and grow your skills on real enterprise projects.
Key Responsibilities Data Engineering (60%) Build and maintain ELT pipelines using Azure Data Factory, Databricks, or Fabric
Write SQL queries for data transformations and validation
Develop Python or Scala scripts for data processing
Implement data quality checks and error handling
Assist with data modeling (dimension and fact tables)
Document data flows, pipelines, and transformations
Perform unit testing on data pipelines
Monitor pipeline executions and troubleshoot failures
Client Support (20%) Participate in client meetings and standups
Gather requirements from business users
Create technical documentation (runbooks, data dictionaries)
Provide status updates on assigned tasks
Support user acceptance testing (UAT) activities
Learning & Development (20%) Shadow senior engineers on architecture and design discussions
Complete assigned training modules and certifications
Participate in code reviews and learn best practices
Attend weekly learning sessions and knowledge shares
Work toward Microsoft certifications (DP-203, DP-900, etc.)
Ask questions and seek feedback on your work
Required Qualifications Education & Experience Bachelor's degree in Computer Science, Information Systems, or related field OR Completion of Ripotek's Azure Data Engineer or Databricks Engineer training program OR Equivalent self-taught experience with demonstrable projects
0-2 years of professional experience in data engineering, analytics, or BI
Internship or co‑op experience in data/tech is a plus




Personal projects or GitHub portfolio demonstrating data skills
Technical Skills Sql - Proficiency in writing SELECT, JOIN, GROUP BY, window functions
Python - Basic scripting (pandas, requests, file I/O)
Azure Basics - Familiarity with Azure portal, resource groups, storage accounts
Data Concepts - Understanding of ETL/ELT, data warehousing, data lakes
Version Control - Basic Git (clone, commit, push, pull)
Tools - Comfortable with VS Code, Azure Data Studio, or similar IDEs
Nice to Have Exposure to Azure Data Factory, Databricks, or Synapse
Power BI for data visualization
Spark or Scala basics
Understanding of CI/CD concepts
Experience with Agile methodologies (Scrum, Kanban)
Soft Skills Eagerness to learn and grow
Strong attention to detail
Ability to follow instructions and ask clarifying questions
Good time management and ability to meet deadlines
Team player and collaborative mindset
Receptive to feedback and coaching
Good written and verbal communication
Preferred Qualifications Microsoft Certified: Azure Data Fundamentals (DP-900)
Microsoft Certified: Azure Data Engineer Associate (DP-203) or actively pursuing
Completion of Ripotek training program with strong performance
Internship at a tech company or consulting firm
Contributions to open‑source projects
Personal blog or portfolio showcasing data projects
What We Offer Compensation & Benefits Competitive entry‑level salary: $65K-$80K
Annual performance bonus (5-10% of salary)
RRSP matching (3% of salary)
Health, dental,



and vision benefits
Professional development budget ($2,500/year)
Certification exam fees covered (DP-900, DP-203, etc.)
Work Environment Hybrid: 2 days/week in Calgary office for collaboration and mentorship
Flexible hours (core hours 10am-3pm MT)
MacBook Pro or Surface Laptop
Home office setup allowance ($1,000)
Modern downtown office
Growth & Development Structured onboarding and mentorship program (first 90 days)
Pair programming with senior engineers
Bi‑weekly 1-on-1s with your manager
Clear career path: Junior - Intermediate - Senior Data Engineer
Exposure to multiple clients and industries
Encouraged to pursue Microsoft certifications
Annual performance reviews with skill development plans
Culture Supportive, learning‑focused environment
No expectation to know everything - asking questions is encouraged!
Diverse team with diverse backgrounds
Work on meaningful projects for real clients
Collaborative, low‑pressure culture
Celebrates learning and growth
What Success Looks Like (First Year) Months 1-3 Complete onboarding, shadow senior engineers, work on small pipeline tasks
Months 4-6 Independently build simple pipelines, participate in code reviews, earn DP-900 cert
Months 7-9 Lead small modules on projects, mentor newer juniors, start DP-203 prep
Months 10-12 Contribute to architecture discussions, earn DP-203 cert, take on more complex tasks
Interview Process Phone Screen (30 min) - HR and hiring manager
Technical Assessment (take-home, 2-3 hours) - Build a simple data pipeline
Technical Interview (60 min) - SQL queries, Python coding, Azure basics
Behavioral Interview (30 min) - Learning agility, teamwork, problem-solving
Team Meet (30 min) - Casual conversation with your potential teammates
Timeline: 2 weeks from application to offer

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📌 Junior Data Engineer (Alberta)
🏢 Ripotek Technologies
📍 Alberta