Company Description
Reejig empowers organizations to boldly and responsibly reinvent work for the AI era. We re-engineer jobs, optimize work allocation between humans and AI, and help our customers evolve their workforce as technology advances. As a World Economic Forum Technology Pioneer, 2023 HR Tech Product of the Year, and Forbes Cloud 100 Rising Star, we are shaping the future of work with AI-driven solutions.
Job Description:
We are seeking a highly skilled and motivated
Senior
Data Engineer
to join our team. The ideal candidate will play a critical role in designing, building, and maintaining scalable data pipelines, APIs, and infrastructure to support our data driven applications. You will work closely with cross functional teams, including software engineers, ml engineers and product managers, to ensure seamless data integration, processing, and analytics. This role requires expertise in
Python, SQL, API development
, and a strong understanding of
data modeling
and
ETL processes
.
This position is fully remote, with flexible access to Sydney’s Stone and Chalk Scale-up Hub for in-person collaboration and socials. You must be based in Australia (Sydney preferred) and have rights to work full-time in Australia.
What you'll do:
Design, develop and maintain robust, scalable
ETL pipelines
to process and transform data from multiple sources including APIs, database and flat files..
Design and implement
APIs
using frameworks like FastAPI ensuring seamless integration with data pipeline and frontend applications.
Develop efficient data models and optimize database performance to support large scale data processing and analytics.
Implement
data cleaning, validation, monitoring and logging
mechanisms to ensure data accuracy and reliability.
Deploy and manage
data pipelines and APIs in
AWS
using tools like
Docker and Kubernetes
.
Collaborate
with product managers, software engineers to shape technical solutions from concept to delivery.
Document
data pipeline, workflows, APIs for maintainability and knowledge sharing.
What we're looking for:
Demonstrated experience building and maintaining scalable data pipelines and APIs in
Python
, with a strong command of
SQL
.
Solid understanding of
data modeling
, system design and stream/batch data processing patterns.
Proficient in working with modern
cloud
infrastructure (preferably AWS) and implementing automated
testing
and CI/CD pipelines.
Skilled at breaking down complex problems and delivering pragmatic, effective solutions in a fast-paced environment.
Strong problem-solving skills and attention to detail.
What we prefer:
Familiarity with Large Language Models and an understanding of RAG, prompt engineering techniques.
Experience in data science workflows including feature engineering, model training and evaluation.
If you don’t have these yet, we value the ability and willingness to learn quickly.
What's in it for you?
Work on cutting-edge technologies that shape the future of work.
Drive impactful solutions aligned with our mission of Zero Wasted Potential.
Be part of a collaborative team committed to innovation and meaningful change.
Grow your career while contributing to a globally recognised, award-winning company.
Competitive compensation and access to our Employee Share Scheme.