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- Tasks: Join Nimbus as a Data Engineer to design and implement scalable data architecture.
- Company: Nimbus is a leader in fire safety management solutions, part of the Halma group.
- Benefits: Enjoy a highly competitive salary and an exciting benefits package with hybrid work options.
- Why this job: Shape the future of AI innovation while driving strategic decisions through powerful data insights.
- Qualifications: 3+ years in database technologies, ETL/ELT tooling, and data visualization tools required.
- Other info: Must be a permanent UK resident with an eligible working Visa.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Data Engineer
Salary: Highly Competitive + Exciting Benefits Package
Location: Nottingham (Hybrid)
Are you ready to shape the future of data-driven insights and AI innovation? We\’re seeking a Data Engineer to join the Nimbus team and be at the forefront of building a cutting-edge data ecosystem that fuels powerful insights, drives strategic decisions, and lays the groundwork for AI innovation.
About the Role
As a Data Engineer, you will design and implement a scalable data architecture for Nimbus, managing data extraction, transformation, and integration with third-party sources to enhance analytics capabilities. Collaborating with stakeholders, you\’ll develop data models that support diverse reporting needs and create dashboards to deliver valuable insights. Additionally, you’ll lay the foundation for future AI-driven initiatives aimed at predictive analytics and proactive decision-making.
Responsibilities
- System Design & Architecture: investigate, select and implement the tooling and technologies required to build out an end to end data warehouse solution taking in every aspect of Extraction, Loading and Transformation (ELT) taking into account the current and future requirements of Nimbus.
- Third-Party Data Integration: Identify opportunities to ingest data from third parties to enrich our current reporting capabilities and implement integrations to facilitate such a strategy.
- Data Modelling: Liaise with key stakeholders to understand the reporting requirements for internal and external customer use cases from multiple internal and external data sources.
- Analytics & Business Intelligence (BI): Identify and implement a strategy to create reports and dashboards that enable valuable insights and BI to be mined from the data warehouse. Look into the available third party tool options to allow advanced report building capabilities as well as providing embedded BI into our existing products.
- AI Foundations: Lay the foundations to enable development of a future AI strategy to provide predictive decision making around fire risk assessment and proactive maintenance.
Qualifications & Experience
- Minimum of 3 years of experience working with a range of Database technologies specifically around analytical data warehouse/data lake solutions.
- Experience in using ETL/ELT tooling and building data pipelines.
- Experience in both relational and no SQL database technologies.
- Good working knowledge of appropriate programming languages (SQL, Python, Java, Bash/Shell Scripting).
- Experience in modelling complex data to answer business critical questions.
- Experience using data visualization tools for BI insights and data analytics.
About the Company
Nimbus is a leading provider of innovative solutions for fire safety management, delivering cutting-edge, cloud-based maintenance and management software solutions specifically for the fire protection industry. Nimbus are a Halma company, a group of life-saving technologies, building a safer, cleaner and healthier future.
Please note: Applicants must be a permanent resident within the UK with an eligible working Visa.
If you think you\’d be a good fit then we\’d love to hear from you!
Nimbus | Data Engineer employer: nimbus
Contact Detail:
nimbus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Nimbus | Data Engineer
✨Tip Number 1
Familiarize yourself with the specific database technologies mentioned in the job description. Having hands-on experience with both relational and NoSQL databases will give you a significant edge during discussions with our team.
✨Tip Number 2
Brush up on your ETL/ELT skills! Being able to demonstrate your experience in building data pipelines and managing data extraction, transformation, and loading processes will be crucial for this role.
✨Tip Number 3
Prepare to discuss your experience with data visualization tools. We value candidates who can effectively communicate insights through dashboards, so think of examples where you've successfully implemented BI solutions.
✨Tip Number 4
Show your enthusiasm for AI-driven initiatives! Since this role involves laying the groundwork for future AI strategies, being able to articulate your interest and any relevant experience in predictive analytics will set you apart.
We think you need these skills to ace Nimbus | Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position at Nimbus. Understand the key responsibilities and qualifications required, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with database technologies, ETL/ELT tooling, and data modeling. Provide specific examples of projects where you've successfully implemented data solutions.
Showcase Technical Skills: Clearly list your technical skills, especially in programming languages like SQL, Python, and Java. Mention any experience with data visualization tools and how you've used them to derive insights from data.
Tailor Your Cover Letter: Write a personalized cover letter that connects your background and skills to the specific needs of Nimbus. Discuss your passion for data-driven insights and how you can contribute to their AI initiatives.
How to prepare for a job interview at nimbus
✨Understand the Data Ecosystem
Make sure you have a solid grasp of data architecture concepts and how they apply to building scalable data solutions. Be prepared to discuss your experience with ELT processes and the tools you've used in previous projects.
✨Showcase Your Technical Skills
Highlight your proficiency in SQL, Python, and any other relevant programming languages. Be ready to provide examples of how you've utilized these skills to solve complex data challenges or improve analytics capabilities.
✨Discuss Collaboration with Stakeholders
Nimbus values teamwork, so be prepared to talk about how you've worked with stakeholders to gather requirements and develop data models. Share specific instances where your collaboration led to successful outcomes.
✨Prepare for AI-Driven Discussions
Since the role involves laying the groundwork for AI initiatives, familiarize yourself with predictive analytics concepts. Be ready to discuss how you've contributed to AI strategies or how you envision integrating AI into data processes.
