At a Glance
- Tasks: Use data analytics and hydraulic modelling to tackle wastewater challenges and deliver impactful solutions.
- Company: Join StormHarvester, a leading green-tech software company in Belfast.
- Benefits: Enjoy private medical insurance, generous holidays, and a supportive work environment.
- Other info: Opportunities for professional growth and hands-on project ownership await you.
- Why this job: Make a real difference in environmental quality while developing your skills in a fast-paced team.
- Qualifications: 2+ years experience with hydraulic modelling software and strong communication skills required.
The predicted salary is between 35000 - 45000 £ per year.
- Data Analytics & Wastewater Engineer
- About Storm Harvester
Storm Harvester helps wastewater utilities predict and prevent issues like flooding and pollution before they happen, protecting communities and reducing costs.
We are the market leader in this space.
At its core, Storm Harvester's advanced anomaly detection system analyzes data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions.
About the role
Storm Harvester is a fast-growing green-tech software company based in Belfast, using machine learning and predictive analytics to help wastewater utilities detect issues in the sewer networks before environmental harm occurs.
By combining real-time sensor data with localised weather forecasts, we are the leading software company enabling utilities to reduce pollution and make smarter, proactive decisions.
We deliver actionable insights across wastewater networks through our cloud-based Saa S platform.
As we continue to grow, we’re expanding our team to tackle new challenges with data and machine learning.
Increasingly, Storm Harvester are tackling problems and projects that require hydraulic modelling experience.
The New Product Development teams have hydraulic modelling expertise and are looking to expand this.
This is a pragmatic and delivery-focused role in the use of data, analytics, and hydraulic modelling to deliver bespoke outcomes for Storm Harvester customers as part of our New Product Development team.
This role is ideal for a Project Engineer, Project Scientist, Urban Drainage Modeller or similar, who is interested in expanding their data analytics skillset within Python while still utilising existing modelling skills.
You’ll be part of a fast-moving, collaborative, cross-functional team with room to develop your skills in applying novel data-driven techniques.
We will offer time and resources to upskill where needed.
The role will have ownership over projects and work with customers to deliver timely results. This will involve:
- Gaining an understanding of the Storm Harvester product
- Helping scope and deliver projects to customers using the Storm Harvester platform, data analysis and visualisation, and running simulations in Infoworks ICM and SWMM.
- Working with Storm Harvester development team to improve functionality of tooling.
You will have ownership over individual work and projects, while working with product development teams.
You’ll have opportunities to advocate for current best practice within the industry to ensure Storm Harvester is addressing customer needs.
The approaches you design will be used by water utilities to predict and prevent real-time pollution events and inform capital investment decisions, contributing to improving environmental quality.
Job requirements & Criteria
Essential criteria
- A third level qualification.
- 2+ years of experience working with Infoworks ICM, SWMM or similar hydraulic modelling software.
- Experience working with QGIS or similar.
- Experience with data exploration and visualisation.
- Strong communication skills.
- Willingness to engage and work with others as part of team with shared direction.
- Strong work ethic with an understanding that this is a fast-growing company with lots of opportunities to make improvements and to move quickly.
- Ability to review and provide feedback as needed to other team members on areas for improvements and updates.
- Strong commitment to delivering high-quality work.
- Can do, problem solving mindset.
- Curious and willing to onward develop and learn.
- Desireable criteria
- Relevant higher degree (Masters or Ph D)
- Experience with Python, including libraries such as Pandas and Geopandas.
- Experience with Ruby scripting in Infoworks ICM Exchange.
- Experience with Software Engineering / Data Science in the Wastewater sector.
- Familiarity with cloud computing (AWS or other cloud computing platform)
- Familiarity and experience with agile delivery
- Experience working with water company clients or 3rd party contractors.
- Experience of model build and verification, including flow survey scoping and management.
- Experience of options development to reduce flooding or spills.
- Job responsibilities
- Work with the New Product Development teams to deliver projects to customers.
- Independently working on projects, taking time estimations and urgency into consideration.
- Engaging with customers to understand contextual requirements of projects, present findings and lead integration into Storm Harvester product.
- Identification of bugs/changes and support issues as part of wider engineering team.
- Job benefits
- Comprehensive Private Medical insurance including dental and optical provision.
- Company pension scheme with 5% employer contribution and 5% employee contribution.
- Annual holidays of 24 days pro rata plus 1 day Birthday leave and 10 statutory holidays.
- Enhanced Maternity and Paternity Pay.
- Additional EV, Cycle, Tech & Home Scheme.
- Car parking close to the office.
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Data Analytics & Wastewater Engineer employer: StormHarvester
At StormHarvester, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. Located in a vibrant area, we offer competitive benefits, continuous learning opportunities, and the chance to make a meaningful impact in the water industry through cutting-edge data analytics and machine learning solutions. Join us to be part of a dedicated team that values your contributions and supports your professional growth.