Data Engineer
Build production-grade data processing systems and performant datasets that support AI-driven customer experiences and company-wide analytics. The role requires 5+ years of data engineering experience, strong Python and SQL skills, and expertise with distributed processing frameworks and modern analytics tooling.
About the job
Responsibilities
- Work directly on new customer experiences built on advanced AI systems.
- Collaborate with researchers and engineers to develop data and AI initiatives.
- Run implementations end-to-end and deliver initiatives through to measurable outcomes.
- Partner across research, marketing, sales, and finance to inform company growth, products, and strategy.
Requirements
- 5+ years of experience working on production-grade data processing systems.
- Strong command of Python and SQL.
- Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink, alongside large-scale data system design.
- Ability to transform unstructured data into performant datasets in relational databases and blob storage.
- Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt.
- Genuine excitement about AI and familiarity with current research.
- Comfort operating in ambiguous, rapidly evolving problem spaces.
Nice-to-haves
- Knowledge of Java or Golang.
- Experience with Kubernetes.
Compensation and Benefits
- Weekly lunch stipend of $75/£75 or equivalent in local currency.
- Full health and dental benefits, including a separate mental health budget.
- RRSP matching, 401K, and pension scheme.
- 100% parental leave top-up for up to 6 months for either parent.
- Annual enrichment benefits covering arts and culture, fitness and wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- Six weeks of paid vacation (30 working days).
- Travel budget for remote employees visiting other offices and an annual company offsite.
- Co-working benefit for employees not near an office.
- $500 home office stipend.
Skills
Python, SQL, Apache Beam, Spark, Apache Flink, BigQuery, Airflow, dbt, Kubernetes, Java, Go, Relational Databases, Blob Storage, Large-Scale Data Systems
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