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Janus Henderson Investors

Senior Data Engineer

Denver, CO, United States

The base salary range for this position is $140,000 - $149,000.

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Job details

Pay: The base salary range for this position is $140,000 - $149,000.
Posting language: English
Posted: Sep 18, 2026

Original job description

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!

Your opportunity

As a Senior Data Engineer, you will own the technical direction for a subsystem or cross-product concern within the Janus Henderson Data Platform. You will act as a go-to engineer for architectural decisions in your area, designing resilient data products and platform capabilities that span multiple business domains. The role requires deep technical craft, strong domain awareness, applied AI fluency, and the ability to influence engineering standards across the Data Engineering guild.

Own design and delivery of complex data engineering capabilities across subsystems or cross-product concerns, setting technical direction within your area.
Design systems that span multiple products or domains, such as entitlement models, concordance frameworks, semantic layers, ingestion frameworks or reusable platform services.
Provide deep technical expertise in at least one core platform pillar, including Snowflake internals, dbt architecture, orchestration, CDC/streaming or equivalent platform capabilities.
Build reusable engineering assets, including dbt macros, custom materialisations, Python packages, ingestion frameworks, MCP tooling or other shared libraries where the standard toolkit does not fit.
Diagnose and resolve performance, reliability and cost issues at query-plan, pipeline and platform level.
Assess architectural trade-offs, including build-versus-buy decisions and second-order impacts across downstream reporting, analytics, operations and regulatory processes.
Design and deliver production-grade AI-enabled tooling where appropriate, including agents, retrieval pipelines, MCP servers or other applied AI capabilities with appropriate guardrails for a regulated environment.
Own quality gates, observability and incident learning for your area, including postmortems, root cause analysis and continuous improvement actions.
Mentor junior engineers and data engineers, run design reviews and establish standards that other engineers can adopt consistently.
Communicate technical trade-offs clearly to architecture, product, operations, compliance and other non-technical stakeholders.
DevOps and Source Control Work with fellow team members to collaborate and review source code. Deep understanding of branching strategies and able to release production quality code through change control processes.
Carry out other duties as assigned

What to expect when you join our firm

Hybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to Wellhub
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
Unique employee events and programs including a 14er challenge
Complimentary beverages, snacks and all employee Happy Hours

Must have skills

Deep expertise in at least one data platform pillar, such as Snowflake internals, dbt architecture, orchestration, CDC/streaming or distributed data processing.
Advanced SQL skills, including query-plan analysis, performance tuning, cost optimisation and troubleshooting on cloud data platforms.
Strong Python engineering capability, with experience building reusable frameworks, packages or libraries rather than only one-off scripts.
Proven ability to design systems that span multiple products, domains or platform concerns, with awareness of downstream impacts and operational risk.
Experience making technical trade-offs under delivery pressure, including scope, quality, build-versus-buy and maintainability decisions.
Strong experiences with DevOps, branching strategies, Azure Portal/Keyvault/Appreg concept.
Experience with Microsoft Azure services, such as Azure Data Factory, Azure Key Vault and Azure DevOps, for CI/CD and infrastructure integration.
Working knowledge of financial services data domains, with the ability to understand hand-offs between Investments, Distribution, Operations, Regulatory, Corporate and Finance processes.
Ability to write clear design documentation, present trade-offs to non-technical stakeholders and influence engineering standards beyond your immediate product area.
Experience with production-grade AI-enabled tooling, such as agents, RAG/retrieval pipelines, MCP servers or AI-assisted engineering workflows.
Must be able to use vscode copilot for development work
Experience mentoring engineers, leading design reviews and supporting technical decision-making across a team or guild.

Nice to have skills

Experience with dbt Core/Cloud, including custom macros, packages, tests, contracts or materialisations.
Experience designing or operating semantic layers, entitlement engines, concordance models, data contracts or reusable platform services.
Understanding of AI/LLM risk in a regulated environment, including data egress, auditability, model non-determinism and appropriate guardrails.
Knowledge of data governance frameworks, lineage tooling, Data Mesh principles and distributed data ownership.
Certifications or demonstrable advanced capability in Snowflake, Databricks, dbt or equivalent cloud data platform technologies.

Supervisory responsibilities

Potential for growth

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

Compensation information

The base salary range for this position is $140,000 - $149,000. This range is estimated for this role. Actual pay may be different. This position will be open through October 15, 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 recruiter@janushenderson.com

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 individual performance.

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here (https://www.janushenderson.com/careers/) .

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).

You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

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More about this job

Skills

Snowflake
dbt
Process data
SQL
Troubleshooting
Python
DevOps
Microsoft Azure
Microsoft Azure Data Factory
CI/CD
Documentation
Coaching
Decision making
Databricks

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