Data Engineer II

Opensignal; Victoria; Hybrid; CAD 80,000 - 100,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits package

Hybrid work arrangement

Professional development

Job summary

Opensignal in Victoria, Canada, is hiring a Data Engineer to scale data pipelines using Spark on AWS. You will transform raw data into actionable insights for global telecom customers and collaborate with data scientists, product, and analytics teams.

You'll own and optimize end-to-end data platforms, apply best practices, and contribute to CI/CD and production-quality code. The role offers a hybrid work arrangement with equity, bonus, and a comprehensive benefits package.

Qualifications

• 2–5+ years building data pipelines with Apache Spark.
• Strong coding skills in Scala (or Java with willingness to learn Scala).
• Hands-on experience with AWS (S3, EC2, EMR or similar).
• A solid understanding of data pipelines, ETL/ELT, and distributed systems.

Responsibilities

• Own and scale data pipelines processing massive datasets using Spark and Scala on AWS.
• 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.

Skills

Spark

Scala

AWS

ETL/ELT

Distributed systems

Data pipelines

Tools

Airflow

Python

Redshift

Athena

Codex

Job description

Starting base salary $80,000 - $100,000 CAD
Plus 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)
• 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

About Us

Opensignal is the leading global provider of independent insight and data into network experience and market performance. Our user‑centric approach allows communication providers to constantly improve their network and maximise commercial performance. Leading analysts, investors and financial institutions place a high value on our independent analysis and we are regular contributors to their reports.

Real network experience is our focus and ultimately that’s what influences customer choice. Our mission is to advance connectivity for all and here at Opensignal, the team is leading the industry in enabling operators to link their network experience and market performance in a way that has never before been possible.

With offices in London, Boston Victoria, British Columbia, and Warsaw, and employees around the world, we are a truly global organization. We are an equal‑opportunity employer dedicated to building an inclusive and diverse workforce.

Benefits

We 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.
• 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.