Work In Tech

Senior Data Engineer

As the Senior Data Engineer, you will build and scale the infrastructure that powers data-driven decisions across the company. You’ll be critical in designing and maintaining robust pipelines and data systems that enable analytics, experimentation, and real-time insights. This is a unique opportunity to work across core data domains like customer behaviour, operations, and marketing, partnering closely with data scientists, analytics engineers, and business stakeholders.

Job Overview

• Develop & Maintain Data Pipelines: Design and build scalable, reliable data pipelines using Dagster and Python. Manage end-to-end ingestion, transformation, and delivery of data across domains, including customer, transactional, operational, and event data.
• Build Core Data Applications: Own and evolve foundational systems like customer 360, event tracking pipelines, and data models that support marketing attribution, personalization, and analytics use cases.
• Partner with Stakeholders: Collaborate with data scientists, analytics engineers, and business teams to understand data needs and deliver performant, trusted, and production-ready data products.
• Platform & Infrastructure Excellence: Implement best practices for testing, CI/CD, observability, and infrastructure-as-code (e.g., Terraform, Docker). Improve platform reliability, scalability, and developer experience.
• Champion Data Quality: Ensure pipelines are robust, monitored, and well-documented. Support a strong data governance and documentation culture in partnership with analytics engineering.

What you'll bring to the team

• Technical Expertise: Strong experience with Python for data engineering and building pipelines using modern orchestration tools (e.g., Dagster, Airflow). Proficient in ELT/ETL development with cloud warehouses like BigQuery.
• Modern Stack Fluency: Hands-on experience with DBT, version control (GitHub), and infrastructure tools such as Docker, Terraform, or Kubernetes. Experience working with event data and customer data platforms like Segment is a plus.
• Performance & Reliability Focus: Ability to build high-performance, scalable data systems that support both batch and real-time use cases. Comfortable with observability, testing, and CI/CD in data engineering workflows.
• Collaborative Mindset: Excellent communication skills and a collaborative approach to problem solving. Ability to translate technical complexity into stakeholder-ready solutions.

Nice to haves

• Experience building ML or feature engineering pipelines in partnership with data science teams.
• Familiarity with real-time data streaming tools such as Kafka or Spark.
• Experience working in a modern marketing tech stack (e.g., Segment, Braze, CDPs).
• Exposure to experimentation frameworks or data products supporting A/B testing.
• Understanding of Retail and Direct-to-Consumer workflows, challenges, and business requirements.

• A minimum of three weeks vacation, plus personal days and three religious/cultural observance days.
• A hybrid work model for all corporate roles
• ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year.
• Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support.
• Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees.
• Semi-annual performance reviews.
• A generous product discount!