At a Glance
- Tasks: Develop and maintain data pipelines, deliver insights, and support data-driven decisions.
- Company: Leading engineering organisation in Larne with a focus on innovation.
- Benefits: Flexible hours, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic work environment with opportunities for automation and process improvement.
- Why this job: Join a cutting-edge team and make an impact in data science and engineering.
- Qualifications: 3-5 years in data science, strong Python skills, and experience with SQL and Snowflake.
The predicted salary is between 40000 - 50000 £ per year.
We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland.
Role Overview
This is a hands‑on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data‑driven decision‑making across the business.
Key Responsibilities
- Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake
- Cleanse, transform, and validate large datasets to ensure data accuracy and integrity
- Manage scheduled data loads and perform ongoing data quality checks
- Support and contribute to data governance, standards, and documentation
- Deliver high‑quality, curated datasets for reporting and business analysis
- Support development of KPIs, dashboards, and analytical models
- Troubleshoot and resolve data, integration, and reporting issues
- Build and optimise solutions using Power BI, Power Apps, and Power Automate
- Integrate and manage CRM data (including Salesforce) to support business processes
- Identify and implement automation and process improvement opportunities across workflows.
Required Skills & Experience
- 3‑5+ years' experience in data science, analytics, data engineering, or automation roles
- Strong proficiency in Python
- Hands‑on experience with SQL and Snowflake
- Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate)
- Experience working with CRM data (Salesforce preferred)
- Solid understanding of data modelling, analytics, and data quality principles
- Degree in Computer Science, Engineering, Data Science, or related field (preferred)
Preferred / Bonus Skills
- Exposure to machine learning or advanced analytics
- Experience with cloud data platforms
If you're a data‑driven professional looking to contribute within a cutting‑edge engineering environment, apply now or reach out for more details!
Data Scientist. Job in Larne LilyLifestyle Jobs employer: Belcan
Join a leading engineering organisation in Larne, Northern Ireland, where you will thrive in a dynamic work culture that values innovation and collaboration. With flexible working hours and a focus on employee growth, this role as a Data Scientist offers you the chance to develop your skills in data engineering and analytics while contributing to impactful projects. Enjoy unique advantages such as hands-on experience with cutting-edge technologies and a supportive environment that encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist. Job in Larne LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, SQL, and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tests. Practice explaining your thought process when solving problems, as this is often just as important as the right answer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist. Job in Larne LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your data engineering skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Projects:If you've worked on any projects involving ETL processes, data pipelines, or analytics, make sure to mention them. We appreciate practical examples that demonstrate your skills and problem-solving abilities in real-world scenarios.
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. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Belcan
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and Snowflake skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Skills
Prepare examples of how you've developed ETL/ELT pipelines or worked with large datasets. Highlight your experience with data cleansing and validation, and be ready to explain your approach to ensuring data accuracy and integrity.
✨Familiarise Yourself with Power Platform
Since the role involves using Power BI, Power Apps, and Power Automate, it’s a good idea to have some hands-on experience or at least a solid understanding of these tools. Think of specific instances where you've built dashboards or automated processes.
✨Understand the Business Context
Research the engineering organisation and understand their key initiatives. Be prepared to discuss how your data-driven insights can support their business goals and contribute to decision-making processes.
