Climb Recruitment are proud to be working with a cutting-edge technology firm who specialise in IoT/ Data solutions, predominantly serving the Emergency Services (EMS) sector.
The Business
Our client designs, develops, and implements innovative IoT/ Data products that empower their customers to drive efficiencies within their operations. Our client is at the forefront of IoT/ Data advancements, driving connectivity and efficiency across various sectors, including EMS, airside and marine operations.
As a Data Engineer with our client you will play a pivotal role in advancing their mission to empower customers with innovative IoT/Data solutions. You will collaborate with a dynamic team of experts to design, develop, and implement data-driven products that enhance operational efficiencies within the Emergency Services sector and beyond.
Responsibilities:
Data Architecture and Cloud Migration: Design and implement scalable and robust data architectures to support the development of IoT solutions for the EMS sector.
Data Integration: Develop and maintain data pipelines for efficient integration of diverse data sources, ensuring seamless connectivity and data flow.
Database Management: Manage and optimise databases to store, retrieve, and analyse large volumes of data, ensuring data integrity and security.
Data Modelling: Create and maintain data models that align with business requirements, ensuring efficient storage, retrieval, and analysis of data.
Collaboration: Collaborate with cross-functional teams, including software engineers and business development, to understand data requirements and contribute to the development of comprehensive solutions.
Data Security: Implement and maintain security measures to protect sensitive data, adhering to industry best practices and compliance standards.
Documentation: Create and maintain comprehensive documentation for data processes, systems, and solutions to facilitate knowledge sharing and team collaboration.
Skills & Qualifications
Proven experience as a Data Engineer, with a focus on designing and implementing data solutions.
Strong proficiency in database management systems, such as MySQL, PostgreSQL, or MongoDB.
Expertise in data modelling and designing efficient data architectures.
Proficient in programming languages such as Python, Java, or Scala.
Experience with data integration tools and techniques.
Familiarity with cloud platforms such as AWS.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Knowledge of IoT technologies and their applications is an advantage.
Salary & Benefits
Salary - Up to 55k per annum depending on experience
Remote/Hybrid Working would be considered for the right candidate