Data Engineer

Why work for us?

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world‑class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

As a Data Engineer, you will build and maintain reliable data pipelines and solutions on the Janus Henderson Data Platform. You will work closely with team members and stakeholders to ensure data quality and support critical business processes.

• Develop and maintain scalable data pipelines using Snowflake, Databricks, and supporting technologies.
• Collaborate with engineers and business stakeholders to deliver integrated data solutions.
• Optimise queries and storage for performance and cost efficiency.
• Apply CI/CD and observability practices to improve reliability and performance.
• Ensure data security and compliance with governance standards.
• Support production systems, troubleshoot incidents, and assist with root cause analysis.
• Carry out other duties as assigned.

• Hybrid working and reasonable accommodations
• Generous holiday policies
• Paid volunteer time to step away from your desk and into the community
• Support to grow through professional development courses, tuition/qualification reimbursement and more
• Maternal/paternal leave benefits and family services
• Complimentary subscription to Headspace – the mindfulness app
• Corporate membership to Class Pass and other health and well‑being benefits
• Unique employee events and programs including a 14er challenge
• Complimentary beverages, snacks and all employee Happy Hours

• Hands‑on experience in data engineering and pipeline development using Snowflake and/or Databricks.
• Proficiency in SQL for data manipulation and optimisation on cloud‑based platforms.
• Strong Python skills for data processing and automation.
• Basic understanding of Dev Ops principles and CI/CD practices.
• Familiarity with job orchestration tools (e.g., Airflow, Autosys).
• Good communication and problem‑solving skills.

• Certifications in Snowflake or Databricks.
• Experience with dbt Core/Cloud for transformation and testing.
• Awareness of Data Mesh principles.
• Exposure to Microsoft Azure services (e.g., Azure Data Factory, Azure Key Vault, Azure Dev Ops).
• Knowledge of data governance frameworks and lineage tools.

• No

• Mentoring
• Leadership development programs
• Regular training
• Career development services
• Continuing education courses

The base salary range for this position is $90,000–$115,000. This range is estimated for this role. Actual pay may be different. This position will be open through the end of March 2026.

Colorado law requires an estimated closing date for job postings. Please don’t be discouraged from applying if you see this date has passed.

At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment.

If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at

Annual Bonus Opportunity:
Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and…