At a Glance
- Tasks: Develop ETL/ELT data pipelines and ensure data quality in a dynamic engineering environment.
- Company: Belcan, a leader in engineering solutions, based in Larne, Northern Ireland.
- Benefits: 12-month contract with opportunities for skill development and hands-on experience.
- Other info: Exciting opportunity to grow your career in data science and engineering.
- Why this job: Join a cutting-edge team and make an impact through data-driven decisions.
- Qualifications: Experience with Python, SQL, and the Microsoft Power Platform is preferred.
The predicted salary is between 35000 - 45000 £ per year.
Belcan is seeking a Data Scientist - Database Analyst/Programmer II in Larne, Northern Ireland, for a 12-month on-site contract. The role focuses on data engineering, analytics, and automation within a complex engineering environment.
As part of your responsibilities, you will:
- Develop ETL/ELT data pipelines
- Manage data quality
- Contribute to governance standards
Preferred skills include experience with Python, SQL, and the Microsoft Power Platform.
Data Scientist & Data Engineer — ETL, Analytics employer: Belcan
Belcan is an excellent employer that fosters a collaborative and innovative work culture in Larne, Northern Ireland. Employees benefit from a supportive environment that encourages professional growth through hands-on experience in data engineering and analytics, while also enjoying the unique opportunity to work on complex engineering projects that make a real impact. With a focus on employee development and a commitment to maintaining high standards in data governance, Belcan offers a rewarding career path for those looking to advance their skills in a dynamic field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & Data Engineer — ETL, Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects and analytics work. We recommend using GitHub to share your code and projects; it’s a great way to demonstrate your expertise in Python and SQL.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with data quality and governance standards. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We make it super easy to find roles that match your skills. Don’t hesitate to submit your application for the Data Scientist position at Belcan; we’re here to support you every step of the way!
We think you need these skills to ace Data Scientist & Data Engineer — ETL, Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and any relevant data engineering projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool ETL/ELT data pipelines or analytics projects, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in a complex environment.
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 our team!
How to prepare for a job interview at Belcan
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in developing ETL/ELT data pipelines. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've tackled data quality issues in the past. Think of examples where you implemented governance standards or improved data processes. This will demonstrate your analytical skills and your ability to work within a complex engineering environment.
✨Familiarise Yourself with the Microsoft Power Platform
Since this role mentions the Microsoft Power Platform, it’s a good idea to have a basic understanding of its components. If you’ve used it before, be ready to share how it helped you in your previous roles. If not, do a bit of research to show your enthusiasm for learning new tools.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data governance practices or the specific challenges they face in data engineering. This shows that you're genuinely interested in the role and helps you assess if it's the right fit for you.
