Junior Data Engineer

As a Junior Data Engineer, you will support the development and maintenance of data pipelines and solutions on the Janus Henderson Data Platform. Working as part of a collaborative engineering team, you will build your technical skills while contributing to delivering high-quality, reliable data to the business. You will learn how to design, build, and support modern data pipelines, while gaining exposure to cloud data platforms, engineering best practices, and financial data domains. Responsibilities Assist in building and maintaining data pipelines using Snowflake, Databricks, and related technologies (with support from senior engineers) Work with other engineers and business stakeholders to understand data requirements and deliver solutions Write and optimize SQL queries to transform and validate data Contribute to Python-based data processing and automation tasks Follow team standards for CI/CD, testing, and observability to ensure data quality and pipeline reliability Support production systems, including monitoring jobs, investigating issues, and assisting with root cause analysis Apply data governance and security standards in line with firm policies Participate actively in team ceremonies (e.g., stand-ups, sprint planning, retrospectives) Carry out other duties as assigned Benefits 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 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 Qualifications Foundational knowledge of data engineering or data processing concepts Basic proficiency in SQL (e.g., querying, joins, aggregations) Working knowledge of Python for data tasks (or willingness to learn quickly) Understanding of data pipelines or ETL/ELT concepts Strong problem‑solving skills and attention to detail Good communication skills and willingness to learn from others Exposure (academic or practical) to Snowflake, Databricks, or other cloud data platforms Familiarity with dbt or similar transformation tools Awareness of CI/CD or version control (e.g., Git) Exposure to orchestration tools (e.g., Airflow, Autosys) Basic understanding of data governance or data quality concepts Experience with Azure or other cloud platforms Compensation The base salary range for this position is $80,000‑$85,000. This range is estimated for this role. Actual pay may be different. This position will be open through August 31, 2026. Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. 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. 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. 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. 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). #J-18808-Ljbffr Janus Henderson Global Investors