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 potential.
- Why this job: Make an impact by working with cutting-edge data technologies and automation.
- Qualifications: 3-5 years in data science or engineering, strong Python and SQL skills.
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
3–5+ 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 Limited
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 long-term contract opportunities and the chance to work on high-priority data engineering projects, all while enjoying a competitive salary and flexible working hours. This fully onsite role offers a unique opportunity to contribute to impactful analytics and automation solutions within a supportive team environment.
Contact Details:
Entech Technical Solutions Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Larne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage on platforms like 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 projects, especially those involving Python, SQL, and Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. Practice explaining your past projects and how you've tackled challenges in data engineering and analytics.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 projects involving Power BI or Salesforce, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to develop dashboards or automate workflows.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Entech Technical Solutions Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Snowflake, and Power BI. Brush up on your knowledge of ETL/ELT pipelines and data cleansing techniques. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled data quality issues or developed automated workflows in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Context
Research the company and its industry. Be ready to explain how your data science skills can support their business goals, especially in terms of KPI development and analytics. This shows that you’re not just a techie but also understand the bigger picture.
✨Prepare Questions for Them
Have a few thoughtful questions ready about the team, the projects you'll be working on, or the company culture. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.
