Data Engineer
About The Position
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. Janus Henderson’s mission is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. The firm emphasizes putting clients first, execution, teamwork, diversity, and trust. The position is hybrid and offers opportunities for mentoring, leadership development, training, and career development. The role may be eligible for an annual discretionary bonus based on company, department, team, and individual performance.
Requirements
- Hands-on experience in data engineering and pipeline development using Snowflake and/or Databricks.
- Proficiency in SQL for data manipulation and optimization on cloud-based platforms.
- Strong Python skills for data processing and automation.
- Basic understanding of DevOps principles and CI/CD practices.
- Familiarity with job orchestration tools such as Airflow or Autosys.
- Good communication and problem-solving skills.
- Willingness to adhere to the provisions of the Investment Advisory Code of Ethics related to personal securities activities and disclosure and certification requirements, including past political contributions and activities.
- Ability to understand the firm's regulatory obligations and abide by applicable regulated-entity requirements and Janus Henderson policies.
Nice To Haves
- Certifications in Snowflake or Databricks.
- Experience with dbt Core or Cloud for transformation and testing.
- Awareness of Data Mesh principles.
- Exposure to Microsoft Azure services such as Azure Data Factory, Azure Key Vault, and Azure DevOps.
- Knowledge of data governance frameworks and lineage tools.
Responsibilities
- Develop and maintain scalable data pipelines using Snowflake, Databricks, and supporting technologies.
- Collaborate with engineers and business stakeholders to deliver integrated data solutions.
- Optimize 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.
Benefits
- Hybrid working and reasonable accommodations
- Generous holiday policies
- Health and wellbeing benefits, including corporate membership to Wellhub
- Paid volunteer time
- Professional development courses and tuition or qualification reimbursement
- Maternal and paternal leave benefits and family services
- Employee events and programs, including a 14er challenge
- Complimentary beverages and snacks, and employee happy hours
- Annual discretionary bonus opportunity
- Pension/retirement plans
- Health, wellbeing, and lifestyle benefits
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
