This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Ops and Services Programmer based in Canada.

We are looking for an experienced data professional to help build and maintain scalable, reliable, and future-ready data infrastructure within a collaborative video game development environment. In this senior role, you will optimize database systems, design robust data pipelines, and ensure the integrity, security, and accessibility of critical data. You will work with self-hosted database environments and large-scale data warehousing solutions to support evolving business and technical needs. Partnering with data scientists, analysts, and cross-functional teams, you will translate complex data requirements into efficient and sustainable solutions. You will also contribute to database architecture decisions, drive infrastructure improvements, and champion best practices in data management. Beyond hands‑on engineering, you will lead projects, coordinate teams, and mentor colleagues to strengthen technical capabilities and collaboration. This opportunity offers the chance to shape data strategy, solve complex technical challenges, and make a lasting impact in a dynamic, innovation-driven environment.

Accountabilities

Database Administration and Optimization: Maintain, upgrade, and optimize existing database systems through performance tuning, hardware upgrades, version management, and continuous monitoring.

Data Pipeline Development: Design, build, and maintain reliable data pipelines for data ingestion, transformation, and processing, ensuring efficient and consistent data flows.

Database Infrastructure Management:



Manage self-hosted database solutions and improve their performance, scalability, and reliability to support large-scale analytics and data warehousing.

Data Integration and Quality: Integrate data from multiple sources, maintain data integrity and consistency, and implement practices that support accurate and dependable data.

Security and Compliance: Ensure compliance with applicable government policies, data protection requirements, privacy standards, and GDPR regulations.

Architecture and Technical Strategy: Assess existing database architectures, identify opportunities for improvement, and recommend scalable solutions aligned with evolving organizational needs.

Cross-Functional Collaboration: Work closely with data scientists, analysts, developers, and other stakeholders to understand requirements and deliver effective data solutions.

Project and Team Leadership: Lead data infrastructure initiatives, define project timelines, coordinate cross‑functional teams, monitor progress, and ensure deliverables are completed effectively.

Technical Mentorship: Share knowledge, guide team members, encourage collaboration, and promote best practices across data operations and engineering.

Continuous Improvement: Adapt to changing technical priorities and organizational constraints while supporting the evolution of data infrastructure and strategy.

Requirements

Professional Experience:



At least five years of relevant industry experience in data engineering, database administration, data operations, or a related technical field.

Database Expertise: Strong experience with PostgreSQL, MongoDB, and other relational and NoSQL database management systems.

Self-Hosted Infrastructure: Demonstrated experience setting up, administering, maintaining, and optimizing self-hosted database environments.

SQL and Operating Systems: Advanced proficiency in SQL and practical experience working in Linux/Unix environments.

Data Pipeline Orchestration: Hands‑on experience with ETL orchestration tools such as Dagster or Apache Airflow.

Data Warehousing and Modeling: In‑depth understanding of data warehousing principles, relational data modeling, and efficient data architecture.

Software Development Environments: Experience navigating and contributing to large codebases, with the ability to understand complex technical systems.

Project Management: Proven ability to lead technical projects, establish timelines, track progress, manage priorities, and deliver results.

Leadership and Collaboration: Demonstrated experience mentoring team members, coordinating multidisciplinary teams, and fostering a team-oriented knowledge‑sharing environment.

Analytical and Problem‑Solving Skills: Strong technical judgment, attention to detail, and a proactive approach to troubleshooting, performance optimization, and infrastructure improvement.

Communication Skills: Ability to explain technical concepts clearly, collaborate with diverse stakeholders, and make informed recommendations.

Adaptability: Comfortable working in an evolving environment,

📌 Senior Data Ops and Services Programmer (London)
🏢 Jobgether
📍 London