Junior Data Engineer Jobs

The Company

Springpod was born from our desire to transform the way young people engage with employers and universities. We empower students to take control of their career paths by connecting them with leading employers and education providers. From work experience placements to apprenticeships and beyond, we are determined to help students discover their future careers – before they leave education.

As we scale up our team internationally, we have a fantastic opportunity for a talented and driven Junior Data Engineer to join our Data team. This role will play a key part in expanding our use of data to benefit our users and client partners, and will be responsible for assisting with data capture, integration and accessibility, both on our platform and BI fronts.

The successful candidate will be highly motivated and ambitious and must thrive in a fast-paced environment with a high degree of autonomy.

Key Responsibilities

• Building data systems and data pipelines (mainly Springpod platform)
• Combine raw data from different sources (mainly Springpod platform)
• Organise and maintain raw data in accessible format

Person Specification

Essential

Experience

• Experience developing and maintaining data pipelines to extract, transform, and load (ETL) data from various sources into centralised data storage systems
• Experience performing data cleaning, preprocessing, and transformation tasks to ensure data quality and consistency
• Experience creating and maintaining data integration workflows between different systems, databases, and applications

Knowledge

• Building and maintaining data warehouses, data marts, and data lakes to support reporting, analytics, and machine learning applications. Knowledge of Amazon Redshift, or similar cloud data warehouses, is required.
• SQL knowledge, notably PostgreSQL
• Proficiency in Python (additional languages commonly used for data engineering, such as Java, are beneficial)
• Data integration and ETL: You should have experience with data integration tools and be familiar with Extract, Transform, Load (ETL) processes, including data validation and cleansing

Skills

• Problem-solving and troubleshooting - You should be able to identify and resolve issues related to data processing, data quality, and data transfer
• Self-starter - You should be curious, eager to learn, and have a passion for solving complex data problems, with a high degree of autonomy
• Communication and collaboration - Effective communication and collaboration skills are essential for working with cross-functional teams and stakeholders, including data analysts, product managers, and other engineers

Desirable

Experience

• Experience in data visualisation or analysis
• Experience on ML/AI projects
• Experience working across multiple stacks, include LAMP
• Experience with Data-As-A-Service products
• Experience working with user data, with student (13-18) data being beneficial

Knowledge

• Knowledge of early careers sector is a bonus
• Strong knowledge of multiple BI tools (Holistics as a bonus)
• Analytical languages, such as R, SAS etc.
• Data security and privacy policies to ensure compliance with applicable laws and regulations

Role Type; Permanent

Location; Vancouver, Canada

Salary; Circa C$65K