Data Engineer

• →5+ years of experience in Data Engineering
• →Strong hands-on experience with real-time data platforms (Azure Data Explorer / ADX / Eventhouse or similar)
• →Solid experience with KQL (Kusto Query Language) or equivalent real-time query languages
• →Strong experience with data modeling (ERD, normalization/denormalization, analytical models)
• →Hands-on experience with Spark / PySpark, including streaming pipelines
• →Experience working with large-scale data pipelines (batch + streaming)

• Experience with Microsoft Fabric
• Experience with Lakehouse architectures
• Experience with Power BI
• Familiarity with data governance tools (e.g., Purview)

• We are looking for candidates with proven real-time data and KQL/ADX experience.
• Candidates who would need to ramp up on these technologies will not be a fit for this role.

1. Intro Chat – 60 min with our Talent team
2. Cultural Fit Interview – 30 min with our Team Engagement Manager
3. Take-Home-Test
4. Final Round – 2 Interviews with Data & Insights Director + Architects

• 💻 100% remote from anywhere
• 💸 Competitive compensation in USD
• 🧠 Training allowances for upskilling
• 🌍 Work with global teams and top-tier clients
• 🖥 Home-office hardware setup
• 🏖 PTO for recharge and balance
• 🫶 People-first culture built on trust, autonomy, and impact

Launchpad is an equal opportunity employer committed to creating an inclusive environment for all applicants. We do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, or any other protected status under applicable laws in Canada and British Columbia.

All candidate information will be handled confidentially and used solely for recruitment purposes in accordance with applicable privacy regulations.

Ready to make your mark? Apply now and be part of something exciting!