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Ripotek Technologies Inc.

Junior Data Engineer

Calgary, AB, Canada

Competitive entry-level salary: $65K-$80K · Full-time

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Job details

Pay: Competitive entry-level salary: $65K-$80K
Job type: Full-time
Apply by: Nov 8, 2026
Experience: 0-2 years of professional experience in data engineering, analytics, or BI
Posting language: English
Posted: Oct 9, 2026

Original job description

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 varied 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

1

Phone Screen (30 min)

HR and hiring manager

2

Technical Assessment (take-home, 2-3 hours)

Build a simple data pipeline

3

Technical Interview (60 min)

SQL queries, Python coding, Azure basics

4

Behavioral Interview (30 min)

Learning agility, teamwork, problem-solving

5

Team Meet (30 min)

Casual conversation with your potential teammates

Timeline:2 weeks from application to offer

Start Your Data Engineering Career

Join our team and learn from experienced engineers on real enterprise projects.

Apply About employer

More about this job

Responsibilities

Build, maintain, test, and troubleshoot ELT data pipelines; write SQL and Python or Scala for data transformations, validation, and processing. Support client requirements gathering and documentation, participate in user acceptance testing, and develop skills through mentorship, training, and code reviews.

Requirements

Candidates need a relevant bachelor's degree, completion of the employer's Azure Data Engineer or Databricks Engineer training program, or equivalent self-taught experience with demonstrable projects. The role targets candidates with 0–2 years of relevant experience and requires foundational SQL, Python, Azure, data concepts, and Git skills; internships and relevant certifications are preferred.

Skills

SQL
Python
Azure Data Factory
Databricks
Microsoft Fabric
Data Pipelines
ELT
Data Modeling
Data Quality
Azure
Git
Data Warehousing
Data Lakes
Spark
Scala
Power BI

Benefits

Annual Performance Bonus
RRSP Matching
Health Benefits
Dental Benefits
Vision Benefits
Professional Development Budget
Home Office Setup Allowance

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Scala
Azure Data Factory
Databricks
Microsoft Fabric
Azure Synapse
Azure
ELT
ETL
Data Pipelines
Data Warehousing
Data Lakes
Data Modeling
Dimension Tables
Fact Tables
Data Quality
Pandas
Git
Power BI
Spark
CI/CD
Agile
Scrum
Kanban
Microsoft DP-900
Microsoft DP-203
Unit Testing
User Acceptance Testing
Data Dictionaries

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