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Toronto, Ontario, Canada
Remote only
Compensation Range:
$140,000 - $165,000 CAD
Compensation Disclaimer:
The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.
The opportunity
Reporting to the Head of Data Science, we are hiring a Senior Data Engineer to support Altus Labs, Altus Group’s hub for innovation in commercial real estate. As our new Senior Data Engineer, you will own data pipeline architecture and platform infrastructure end-to-end, from ingestion through delivery to the Data Scientists, ML Engineers, and platform services that depend on it. You will combine hands-on technical execution with thoughtful architectural decision-making, helping build reliable, scalable data infrastructure that supports analytics and machine learning.
You will work across Data Engineering, Data Science, ML Engineering, and platform teams to establish technical standards, improve data quality, and develop reusable tools and frameworks. Your work will help strengthen how data is built, managed, monitored, and delivered across Altus Labs while supporting the continued evolution of its commercial real estate data capabilities.
This is a full time remote position open to candidates based within Canada or the UK.
What’s in it for you
Own meaningful technical work from end to end. You will have the opportunity to shape the architecture, reliability, and operational health of data infrastructure that supports analytics and machine learning. Your decisions will influence how data is modeled, orchestrated, monitored, and delivered across the team.
Solve complex data engineering challenges. You will work with distributed systems, cloud data platforms, batch and streaming pipelines, and production-scale data infrastructure. Your work will involve solving challenging technical problems while creating solutions that are reliable, maintainable, and designed to evolve.
Support innovation in commercial real estate. You will build the data foundation that Data Scientists, ML Engineers, and platform services rely on. Your work will help improve data quality, scalability, and accessibility so teams can develop more effective analytics and machine learning solutions.
Grow your influence through expertise. You will have opportunities to contribute to technical design, reusable engineering practices, documentation, code reviews, and mentorship. Your knowledge and judgment will help strengthen the team’s technical capabilities and improve the practice of data engineering.
As our new Senior Data Engineer, you will:
Design and own data pipelines. You will design, build, and maintain batch and streaming data pipelines from ingestion through delivery. You will make practical decisions about data modeling, storage, and orchestration while taking ownership of the reliability and operational health of what you build.
Build scalable data infrastructure. You will develop and maintain data platform infrastructure using Databricks and cloud environments. You will contribute to platform configuration, access controls, orchestration, and cataloging, helping create a secure and scalable foundation for growing data volumes and evolving use cases.
Strengthen data quality and engineering standards. You will implement data quality checks and lineage tracking at ingestion to help identify issues before they affect downstream models, reports, or analytical workflows. You will also create reusable pipeline templates, tools, and documentation that improve consistency across the team.
Partner across data and technology teams. You will work closely with Data Scientists, ML Engineers, and platform teams to understand their data requirements and translate them into dependable pipelines and infrastructure. You will communicate technical trade-offs, identify risks, and help ensure downstream teams receive the data they need.
Support technical growth. You will contribute to code reviews, technical design discussions, and pairing sessions. You will share knowledge and practical guidance that helps junior engineers build their skills and improves the quality of the team’s work.
You bring:
The data engineering experience. You bring proven experience designing, building, and operating production data pipelines and infrastructure. You understand how to develop reliable systems, troubleshoot production issues, and create solutions that can scale as data volumes and use cases grow.
The technical foundation. You have strong programming skills in Python, SQL, and Spark, along with a solid understanding of distributed data processing. You can apply these tools to build, optimize, and maintain pipelines that support analytical and machine learning workloads.
The platform expertise. You have practical experience working with Databricks and related technologies such as Unity Catalog, Workflows, and Delta Lake, or equivalent cloud data platforms. You understand platform infrastructure, orchestration, access controls, and data cataloging in a production environment.
The engineering practices. You have experience with pipeline orchestration and development tooling such as Databricks Asset Bundles, Airflow, or dbt. You understand the importance of testing, monitoring, documentation, and reusable practices in maintaining reliable data systems.
The problem-solving approach. You can independently investigate production issues, make sound architectural decisions, and balance immediate delivery needs with long-term scalability and maintainability. You take data quality, monitoring, and operational reliability seriously.
The communication and leadership skills. You communicate clearly with technical and business stakeholders and can explain technical trade-offs in practical terms. You are comfortable contributing to code reviews, pairing with colleagues, and mentoring junior engineers.
The domain knowledge. You understand how domain context can inform data modeling and the design of useful analytical solutions. Experience working with finance, credit, commercial real estate, or related data domains would be an asset. A degree in Computer Science, Engineering, or a related technical field may be considered an asset. Equivalent knowledge gained through education, training, and practical experience is also valuable.
Apply now
If you're excited about this role but your experience aligns differently with every requirement, we encourage you to apply. While specific qualifications may be strictly required, others can be based on various experiences, backgrounds, and knowledge. We can't promise an interview, but we will consider your whole application.
What you can expect from our interview process:
A virtual interview with a Talent Advisor to discuss your interest in the role, your experience, and what you are looking for in your next career opportunity. The conversation will be recorded using BrightHire, an AI-powered video interview tool. More details will be shared when you are invited to interview.
An online technical assessment designed to evaluate fundamental programming competency.
A virtual technical interview with the Head of Data Science focused on system design, problem-solving, and the ability to develop a practical solution.
A panel interview with the Data Science team focused on collaboration, communication, mentorship, and your approach to influencing and advancing technical practices across the team.
Unlock your Altus Experience!
If you’re looking to advance your career in in an industry that is transitioning for greatness, there’s no better place than Altus Group.
Our high trust, high performance culture prioritizes progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognized and connected.
We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with the best data sets, tools and technology in the industry.
What Altus Group offers:
Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritizing mental, physical, and financial well-being.
Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.
Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office for collaboration and remote work for focused tasks.
Inclusivity & Accessibility
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation, please contact us at accessibility@altusgroup.com or +1 888 692 7487.
Use of Artificial Intelligence
AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.
Background Checks
Please note that as part of our commitment to maintaining a safe and secure workplace, Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.
Other Notes / Application Process
We appreciate all applicants; however, only those selected to move forward will be contacted. Thank you for your interest in Altus Group.