Job Description

Posted 3 weeks ago

Data Engineer

Initial 3 Month Contract on Long Term Project

Fully Remote

Competitive Daily Rate

My client is seeking an enthusiastic Data Engineer to construct future-proof pipelines and unearth deep insights from customer data across various sectors. Engage in ground-breaking projects, working alongside Mathematical teams and directly with customers to architect the data backbone crucial for achieving their ambitious objectives.

Why You Should Apply

* Opportunity to work on projects that have a real-world impact on technology and society.

* Engage with cutting-edge technologies in AI, data science, and cloud computing.

* Be part of a diverse team passionate about innovation and solving complex problems.

* Continuous learning environment where you can hone your skills and grow your career.

What You’ll Be Doing

* Designing and building end-to-end data pipelines, both locally and in the cloud (Azure)

* Advising on system, data, and model architecture during early-stage project scoping.

* Cleaning, summarising, and analysing datasets to ensure data integrity and usability.

* Collaborating on the development of mathematical and statistical models.

* Staying up to date with the latest in data-driven modelling tools and techniques.

About You

* Be able to do the job as described.

* Bachelor’s degree in a scientific or engineering discipline, with advanced study preferred.

* Expertise in Python, with knowledge of Linux and Windows environments.

* Strong Cloud knowledge, preferably in Microsoft Azure.

* Proficiency in Git, unit and integration testing, and cloud platforms.

* Experience in relational databases, SQL, data visualization, and ETL pipelines.

(Big Data, Artificial Intelligence, Machine Learning, Cloud Computing, Data Science, Python Programming, ETL Pipelines, Data Analytics, Data Visualization, SQL, NoSQL, Data Engineering, Cloud Platforms, Data Pipelines, Advanced Analytics, Data Integration, Predictive Modelling, DevOps, MLOps, Data Architecture, Version Control, Git, Data Cleaning, Feature Engineering, Exploratory Data Analysis, Dashboarding, API Development, Containerisation, CI/CD, Linux Environment, Windows Environment)