At a Glance
- Tasks: Use data analytics and hydraulic modelling to tackle wastewater challenges and deliver impactful solutions.
- Company: Join a fast-growing green-tech software company based in Belfast.
- Benefits: Opportunities for professional development, collaborative team environment, and ownership of projects.
- Other info: Dynamic role with room for growth and learning in a fast-paced industry.
- Why this job: Make a real difference in environmental quality while expanding your data analytics skills.
- Qualifications: 2+ years experience with hydraulic modelling software and strong communication skills.
The predicted salary is between 35000 - 45000 £ per year.
StormHarvester 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 SaaS platform. As we continue to grow, we’re expanding our team to tackle new challenges with data and machine learning. Increasingly, StormHarvester 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 StormHarvester 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 StormHarvester product
- Helping scope and deliver projects to customers using the StormHarvester platform, data analysis and visualisation, and running simulations in Infoworks ICM and SWMM.
- Working with StormHarvester 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 StormHarvester 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.
Requirements
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.
Desirable Criteria:
- Relevant higher degree (Masters or PhD)
- 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.
Data Analytics & Wastewater Engineer in Belfast 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics & Wastewater Engineer in Belfast
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like StormHarvester!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analytics & Wastewater Engineer at StormHarvester.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like StormHarvester.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analytics & Wastewater Engineer at StormHarvester, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analytics & Wastewater Engineer in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at StormHarvester, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at StormHarvester. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at StormHarvester
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at StormHarvester!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
