Senior Data Engineer London, Ontario or Remote

We are seeking a highly skilled Senior Data Engineer to join our team. This role offers flexibility — we’re open to hiring either an Individual Contributor or a Lead. The ideal candidate will have extensive experience working with various databases and use their expertise to help us create a more future-proof and scalable data infrastructure. We need someone who can analyze our current self-hosted systems, suggest improvements, and potentially lead projects and teams. This role is an exciting opportunity to shape the future of our data infrastructure while working in a collaborative and evolving environment. If you are a proactive, solutions-oriented data engineer with a passion for optimizing databases, ensuring data integrity, and (for Lead candidates) guiding teams toward success, we encourage you to apply.

RESPONSIBILITIES

• Maintain and optimize existing databases, including version updates, performance tuning, hardware upgrades, and monitoring.
• Design, develop, and maintain robust data pipelines for data ingestion and processing.
• Manage self-hosted database solutions, focusing on performance for large-scale data analysis and efficient data warehousing.
• Integrate data from various sources, ensuring high data quality and consistency.
• Ensure compliance with government policies and processes related to data security, privacy, and GDPR regulations.
• Collaborate with data scientists, analysts, and other teams to understand data requirements and develop scalable solutions.
• Provide insights into database architecture and recommend improvements that align with business needs and future scalability.
• Adapt to team needs and organizational restrictions to support evolving data strategies.
• (For Lead Candidates) Lead project initiatives, manage timelines, and coordinate cross-functional teams.
• Other responsibilities as required.

REQUIREMENTS

• Experience with database management systems such as PostgreSQL, MongoDB, and other relational and NoSQL databases.
• Experience with setting up, managing and optimizing self-hosted databases.
• Strong proficiency in SQL and experience working with Linux/Unix environments.
• Hands-on experience with ETL orchestration tools such as Dagster or Airflow.
• In-depth knowledge of data warehousing concepts and relational data modeling.
• Experience with self-hosted databases, from setup to maintenance.
• (For Lead Candidates) Experience managing projects and teams, including setting timelines, tracking progress, and ensuring deliverables.
• (For Lead Candidates) Demonstrated ability to lead and mentor teams, with a focus on collaboration and knowledge sharing.
• (For Lead Candidates) Mentor team members, fostering growth and best practices in data engineering.

“Applicants must be legally eligible to work in Canada at the time of application.” Digital Extremes is an equal opportunity employer committed to diversity and inclusion. We welcome and encourage applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the recruitment process. We thank you for your interest, however, only those candidates selected for the next steps in the hiring process will be contacted.