Senior Data Ops & Platform Engineer

Digital Extremes; London; Hybrid; CAD 100,000 - 115,000; Full time

Job summary

Digital Extremes in Canada seeks a Senior Data Ops and Service Programmer to lead data infrastructure initiatives and optimize self-hosted databases. You will design robust pipelines, ensure data quality, and guide cross-functional teams toward scalable solutions.

The role emphasizes hands-on database tuning, warehousing concepts, and collaboration with data scientists and analysts to translate requirements into reliable data services. Competitive CAD salary and benefits offered.

Qualifications

• 5+ years of industry experience in data ops or data engineering.
• Experience with PostgreSQL, MongoDB, and other relational/NoSQL databases.
• Proficiency in SQL and Linux/Unix environments.
• Hands-on ETL orchestration with Dagster or Airflow.
• Strong understanding of data warehousing concepts and relational data modeling.
• Experience managing projects and leading teams with timelines and deliverables.

Responsibilities

• Maintain and optimize databases, including version updates and performance tuning.
• Design and maintain data pipelines for ingestion and processing.
• Manage self-hosted database solutions for large-scale analysis.
• Ensure data quality and consistency across sources.
• Align data architecture improvements with business needs.
• Lead cross-functional projects and coordinate teams.
• Mentor team members and encourage knowledge sharing.
• Ensure compliance with data security and privacy regulations.

Skills

SQL

PostgreSQL

MongoDB

Linux/Unix

Dagster

Airflow

Data warehousing

Leadership / mentoring

Large codebases

Tools

Dagster

Airflow

Job description

Digital Extremes in Canada seeks a Senior Data Ops and Service Programmer to lead data infrastructure initiatives and optimize self-hosted databases. You will design robust pipelines, ensure data quality, and guide cross-functional teams toward scalable solutions.

The role emphasizes hands-on database tuning, warehousing concepts, and collaboration with data scientists and analysts to translate requirements into reliable data services. Competitive CAD salary and benefits offered.