Please note, this is a
Daily Rate Contract Position
. Onsite requirement is flexible with a minimum of 1-2 times a month onsite.
We are seeking a
Data Analytics Engineer
to join our client's team. You will work across Engineering, Product, and Design teams to unlock key insights, build intelligent features, and significantly improve system performance and safety across our platform.
What You Will Do
Lead
the design and implementation of scalable data pipelines and machine learning models.
Own
the full lifecycle of data science projects, from concept to deployment and monitoring.
Collaborate
across teams to embed data-driven decision-making.
Analyze
large-scale datasets to uncover actionable insights and develop predictive models for system integrity and operational efficiency.
Champion
data quality, governance, and observability; mentor junior team members.
Technical Requirements
Significant experience
in Data Engineering
Proven track record
designing and deploying scalable ML models in production.
Strong programming skills in SQL, Python, R, or similar languages.
Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
Hands-on experience designing and managing ELT pipelines on Azure
Strong skills in SQL and NoSQL databases Hands-on experience with Power BI
for building dashboards and visualizing complex datasets.
Strong understanding of statistical modelling and performance metrics.
Background in building
recommender systems, anomaly detection, or time-series forecasting.