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- Tasks: Integrate diverse data sources and design scalable data models for analytics and AI.
- Company: Join a high-performing enterprise technology team in Glasgow.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make an impact by supporting advanced analytics and AI-driven solutions.
- Qualifications: Experience with Snowflake, Databricks, Python, and SQL required.
The predicted salary is between 36000 - 45000 £ per year.
Location - Glasgow (Hybrid / 3 days onsite, non-negotiable)
Duration - 12-month contract
Day rate - circa £450 PAYE
We are seeking a skilled ENS UX Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection of data engineering, platform integration, and user experience-supporting advanced analytics and AI-driven solutions.
Key Responsibilities- Integrate diverse data sources into enterprise platforms such as Snowflake and Databricks
- Design scalable, high-performance data models for analytics and AI use cases
- Build and maintain robust ETL/ELT pipelines using modern tooling
- Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions
- Support AI/ML inference pipelines and data workflows
- Produce clear documentation covering data flows, schemas, and integration patterns
- Monitor and optimise data performance, resolving issues as needed
- Strong hands-on experience with Snowflake and Databricks in production environments
- Proficiency in Python and SQL
- Experience with Kafka and modern data pipeline frameworks
- Solid understanding of data modelling, big data, and analytics principles
Data Integration Engineer employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your 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 land you that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face as a Data Integration Engineer.
✨Tip Number 3
Showcase your projects! If you've worked on any cool data integration projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, especially with tools like Snowflake and Databricks.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like 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 Integration Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Databricks, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Integration Engineer role and how your background makes you a perfect fit. Let us know what drives you in data engineering!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data integration or analytics. We love seeing how you approach problems and come up with innovative solutions!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at McGregor Boyall
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Snowflake, Databricks, Python, and SQL. Be ready to discuss your hands-on experience with these technologies, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed scalable data models or built robust ETL/ELT pipelines. Think about specific projects where you collaborated with developers and UX stakeholders to translate business needs into technical solutions.
✨Understand the Bigger Picture
Familiarise yourself with the role of data integration in supporting advanced analytics and AI-driven solutions. Be prepared to discuss how your work can impact user experience and contribute to the overall success of the enterprise technology team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data workflows, integration patterns, and performance monitoring strategies. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.