Starting base salary $80,000 - $100,000 CADPlus Bonus, Equity & Benefits
*Opensignal's salary ranges are determined by role, level, and location. The range reflects the typical starting salaries for new hires and does not reflect that maximum salary for the role over time.
Build data products that shape global telecom decisions
At Opensignal, we don't just process data, we turn billions of real-world data points into the insights that drive how telecom operators compete, invest, and grow.
We're looking for a Data Engineer who wants to do meaningful work at scale. If you enjoy building robust pipelines, solving complex data problems, and seeing your work directly influence real-world strategy, this role is for you.
What you'll do- Own and scale data pipelines processing massive datasets using Spark and Scala on AWS
using agentic AI tools. - Transform raw data into high-impact insights used by global customers and analysts
- Design and build resilient data systems with a focus on performance, quality, and reliability
- Partner with Data Scientists, Product, and Analytics teams to turn ideas into production-ready data products
- Debug, optimise, and continuously improve pipelines through deep root cause analysis
- Champion engineering best practices, testing, CI/CD, and clean, maintainable code
Why this role stands out- Real impact: Your work directly influences customer acquisition and retention strategies for major telecom players
- True ownership: You won't just contribute; you'll own pipelines and shape how data flows across products
- Scale & complexity: Work with large, messy, real-world datasets-not toy problems
- Collaborative environment: Work closely with highly skilled Data Scientists and Engineers globally
- Growth opportunity: Stretch into more senior responsibilities as you deepen your expertise
What you bring- 2-5+ years building data pipelines with Apache Spark
- Strong coding skills in Scala (or Java with willingness to learn Scala)
- Confidence writing complex, performant SQL
- Hands-on experience with AWS (S3, EC2, EMR or similar)
- A solid understanding of data pipelines, ETL/ELT, and distributed systems
- A natural curiosity, you enjoy digging into data issues and figuring out the "why"
- Strong collaboration skills, you're comfortable working across teams
Nice to have (but not essential)- Experience in full agentic AI coding using Codex or Claude.
- Experience with Airflow or similar orchestration tools
- Exposure to Python for data workflows
- Familiarity with Redshift, Athena, or other analytical databases
- Experience with ML/data science workflows in production
BenefitsWe believe we are stronger when we not only celebrate our many differences, values, and voices but also include them in everyday practice. Having a diverse and inclusive culture is essential, which is why we offer a flexible approach to work-life balance, operating in a remote-hybrid way. We'll help you get set up with the essentials you need to work from home or the office. We also offer an attractive range of additional benefits, including:
- Competitive compensation packages; including a long-term equity program.
- Comprehensive group benefits package.
- Company sponsored retirement savings plan.
- Professional development opportunities: education reimbursement, learning allowance, company-sponsored workshops, and more!
- Generous holiday allowance, sick leave, parental leave, flexibility including Summer Fridays, and the opportunity to work from abroad.
- Charity matching and time off for community volunteering.
- Regular virtual and in-person events and socials.
