At a Glance
- Tasks: Develop and maintain ETL pipelines, manage data quality, and support analytics.
- Company: Join a well-known organisation with exciting data projects.
- Benefits: Competitive pay, flexible hours, and long-term contract opportunities.
- Other info: Fully onsite role in Larne, Northern Ireland with great career growth.
- Why this job: Make an impact by working with cutting-edge data technologies.
- Qualifications: Experience in Python, SQL, and data platforms; relevant degree preferred.
The predicted salary is between 68000 - 68000 £ per year.
We are currently looking for a Data Scientist with solid hands-on experience across modern data platforms: Python, SQL, Snowflake, and the Microsoft Power Platform (Power BI, Power Apps, Power Automate).
Do you have experience in data engineering, ETL/ELT pipelines, data cleansing, data modelling, CRM data (ideally Salesforce), and supporting analytics across a business? Are you confident developing automated workflows, dashboards, and curated datasets to support reporting and KPI development?
We have an opportunity with a well-known organisation who are looking to source someone for a long-term contract (12 months minimum, highly likely to extend). We require a Data Scientist.
The responsibilities and tasks for this job include supporting high-priority data engineering and analytics workstreams across the business. You will develop and maintain ETL pipelines, manage enterprise data quality, support KPI reporting, and help deliver automation and integration solutions across Power Platform and Salesforce.
If you feel you can cover most of the below bullet points and can demonstrate experience of the opening points of this description, we would love to hear from you. Candidates will have gained the following skills and experience through previous roles:
- Developing and maintaining ETL/ELT pipelines using Python, SQL, and Snowflake
- Cleansing, validating, transforming, and managing enterprise data
- Supporting scheduled data loads and data quality checks
- Providing curated datasets for reporting and analytics
- Supporting KPI development and analytical models
- Troubleshooting data and reporting issues
- Developing dashboards and workflows using Power BI, Power Apps, Power Automate
- Supporting Salesforce CRM data integration
- Identifying and implementing automation opportunities
- Understanding data modelling, analytics, and data quality principles
35+ years experience in data science, analytics, data engineering, or automation roles. Relevant degree preferred (Computer Science, Engineering, Data Science, etc.)
Working Hours: 8:00am - 4:00pm (flexible), 37.5 hours per week. Location: Fully onsite 5 days pw in Larne, Northern Ireland.
Please apply for further details.
Data Scientist in Larne employer: Entech Technical Solutions Ltd
Join a well-known organisation in Larne, Northern Ireland, where you will thrive in a collaborative and innovative work culture that values your expertise as a Data Scientist. With a focus on employee growth, you will have access to ongoing training and development opportunities, while enjoying the benefits of a competitive salary and flexible working hours. This fully onsite role offers a chance to make a meaningful impact through high-priority data engineering and analytics projects, all within a supportive team environment.
Contact Details:
Entech Technical Solutions Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Larne
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. You never know who might have a lead on that perfect Data Scientist role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, SQL, and Power BI. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Ace the Interview
Prepare for common data science interview questions and be ready to discuss your experience with ETL pipelines and data quality. Practice makes perfect, so consider doing mock interviews with friends or mentors.
✨Apply Through Us!
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge in the hiring process.
We think you need these skills to ace Data Scientist in Larne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and Snowflake. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or roles you've had!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Scientist role. Mention specific experiences that relate to data engineering, ETL pipelines, and analytics to grab our attention.
Showcase Your Projects:If you’ve worked on any cool data projects, make sure to mention them! Whether it’s developing dashboards in Power BI or automating workflows, we love seeing practical examples of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Entech Technical Solutions Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Snowflake, and Power BI. Brush up on your ETL/ELT pipeline experience and be ready to discuss specific projects where you've used these technologies. The more examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled data quality issues or troubleshooting challenges in the past. Companies love candidates who can demonstrate their analytical thinking and how they approach complex problems.
✨Understand the Business Context
Familiarise yourself with how data science impacts business decisions. Be ready to discuss how your work can support KPI development and reporting. Showing that you understand the bigger picture will set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data strategy or the tools they use. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
