Data Engineer

Janus Henderson Investors

$90K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proven experience in data engineering and pipeline development using Snowflake and/or Databricks
  • Advanced proficiency in SQL for complex queries and performance tuning on cloud platforms
  • Strong Python knowledge for data processing and automation
  • Solid understanding of DevOps principles, CI/CD practices, and data reliability engineering
  • Experience with job orchestration tools like Autosys or Airflow/Astronomer
  • Effective communication and problem-solving skills.

Responsibilities

  • Architect and implement scalable data pipelines using Snowflake, Databricks, and related technologies
  • Collaborate with architects and business stakeholders to deliver integrated solutions
  • Optimize data performance and cost through various strategies
  • Implement CI/CD and observability practices for enhanced reliability
  • Champion data governance and compliance, ensuring security best practices
  • Mentor junior engineers and contribute to knowledge-sharing initiatives
  • Support production systems, troubleshoot incidents, and conduct root cause analysis.

Benefits

  • Hybrid working and reasonable accommodations
  • Generous holiday policies
  • Paid volunteer time for community involvement
  • Support for professional development and tuition reimbursement
  • Parental leave benefits and family services
  • Complimentary subscription to Headspace for mindfulness
  • Corporate membership to ClassPass and health benefits
  • Unique employee events and programs, including a 14er challenge
  • Complimentary snacks, beverages, and employee Happy Hours.
Full Job Description
Your opportunity

As a Data Engineer, you will design and deliver robust data pipelines and solutions on the Janus Henderson Data Platform. You will mentor junior engineers, contribute to technical standards, and ensure data quality and reliability across critical business processes.

  • Architect and implement scalable data pipelines using Snowflake, Databricks, and supporting technologies
  • Collaborate with architects and business stakeholders to deliver integrated solutions aligned with strategic goals.
  • Optimise performance and cost through query tuning, clustering, caching and storage strategies
  • Implement CI/CD and observability practices to enhance reliability and performance.
  • Champion data governance and compliance, ensuring security best practices.
  • Mentor junior engineers and contribute to knowledge-sharing initiatives.
  • Support production systems, troubleshoot incidents and drive root cause analysis
  • Carry out other duties as assigned


What to expect when you join our firm

  • 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 ClassPass and other health and well-being benefits
  • Unique employee events and programs including a 14er challenge
  • Complimentary beverages, snacks and all employee Happy Hours


Must have skills

  • Proven experience in data engineering and pipeline development using Snowflake and/or Databricks
  • Advanced proficiency in SQL through complex queries, optimisation and performance tuning on cloud-based data platforms.
  • Strong Python knowledge for data processing and automation
  • Solid understanding of DevOps principles, CI/CD and data reliability engineering.
  • Experience with job orchestration (Autosys, Airflow/Astronomer)
  • Effective communication and problem-solving skills.


Nice to have skills

  • Certifications in Snowflake or Databricks.
  • Experience with dbt Core/Cloud for transformation and testing
  • Familiarity with Data Mesh principles and distributed data ownership
  • Experience with Microsoft Azure services (e.g., Azure Data Factory, Azure Key Vault, Azure DevOps) for CI/CD and Infrastructure.
  • Knowledge of data governance frameworks and lineage tools


Supervisory responsibilities

  • No


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 $90,000-$115,000. This range is estimated for this role. Actual pay may be different. This position will be open through June 30, 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.

#LI-LN2 #LI-Hybrid

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.

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