Junior Data Engineer

About the role

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.

Responsibilities

• Aid 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.

Requirements

• 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

Nice to have

• 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

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field
• 1-2 years of relevant work experience in data engineering or a related field

Skills

• 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

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
• Support to grow through professional development courses, tuition/qualification reimbursement and more
• Maternity/paternity leave benefits and family services
• Unique employee events and programs including a 14er challenge
• Complimentary beverages, snacks and all employee Happy Hours