At a Glance
- Tasks: Build and maintain data systems using Azure technologies to drive business intelligence.
- Company: Award-winning travel solutions company with stunning coastal views.
- Benefits: Competitive salary, 37 days leave, staff travel pass, and excellent career progression.
- Other info: Opportunity for professional growth and to lead best practices in data management.
- Why this job: Join a dynamic team and shape the future of data in an innovative environment.
- Qualifications: 2+ years experience with Azure Data Factory, Data Lake, and SQL Database.
The predicted salary is between 40000 - 45000 € per year.
£40,000-£45,000 | Gourock, Scotland – Hybrid | Permanent. This award-winning company is searching for a Data Engineer to play a vital role within the Architecture, Digital, and Data team. They provide travel solutions across Scotland with top quality services and spectacular views of the coastline along the way. This position involves the development and maintenance of various system integrations, ETL processes, data‑at‑rest solutions, internal APIs, and reporting tools. Leveraging the Azure Data Platform technology, you will contribute to the ongoing transformation efforts.
The Role
- Take ownership of constructing data‑streaming systems, focusing on:
- Implementing data flows to connect operational systems with analytics and business intelligence (BI) systems via the Data Lake architecture.
- Redesigning manual data flows to enable scalability and repeatability.
- Creating ETL designs and code to ensure efficient performance.
- Building accessible data structures for analysis.
- Lead the development of a connected enterprise infrastructure.
- Drive best practices for data products and services across the Information Technology team and the broader company.
What We Are Looking For
- As the data and integration platforms transition to Azure, you should possess expert‑level understanding and significant experience in building solutions within the target technology stack.
- Minimum of 2 years of experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database.
- Proficiency in designing data visualization flows using Power BI.
- Strong understanding of data governance, including Master Data Management (MDM) and Data Quality tools and processes.
- Ability to anticipate and provide insights on upcoming technology changes that offer opportunities for product or program enhancement.
- You can establish team‑based programming standards and techniques, select appropriate development methodologies, and ensure compliance.
- Understanding of the concepts and principles of data modelling, enabling you to produce, maintain, and update relevant data models.
Salary & Package
- Excellent training, development, and career progression.
- 37 days annual leave (pro‑rata).
- Staff travel pass for yourself, spouse/partner, and dependents.
- An industry‑leading pension.
Data Engineer in Gourock employer: Peaple Talent
This award-winning company in Gourock, Scotland, offers a dynamic work environment for Data Engineers, where you can thrive in a culture that prioritises innovation and collaboration. With excellent training and development opportunities, along with generous benefits such as 37 days of annual leave and a staff travel pass, employees are encouraged to grow both personally and professionally while enjoying the stunning coastal views. Join a team that values your contributions and supports your career progression in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Gourock
✨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 get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Power BI. We want to see what you can do, so make it easy for potential employers to see your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising your answers with a friend or even in front of the mirror. Confidence is key!
✨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 Engineer in Gourock
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure Data Factory, Data Lake, and SQL Database. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've implemented data flows or built ETL processes. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're excited about the role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Azure Data Factory, Azure Data Lake, and Azure SQL Database. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your ETL Skills
Prepare to talk about your experience with ETL processes. Have specific examples ready that demonstrate your ability to design efficient data flows and how you've improved data performance in previous roles.
✨Understand Data Governance
Familiarise yourself with concepts like Master Data Management and Data Quality tools. Be prepared to discuss how you’ve implemented data governance practices in your work and how they can benefit the company.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's data transformation efforts. Ask about their current challenges with data integration or how they envision the future of their data architecture. This shows you're not just interested in the job, but also in contributing to their success.
