Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Integrate data sources and design scalable models for analytics and AI.
- Company: Join a high-performing enterprise technology team in Glasgow.
- Benefits: Competitive day rate, hybrid work, and a focus on innovation.
- Other info: Dynamic environment with opportunities for continuous improvement.
- Why this job: Make an impact on advanced analytics and AI-driven solutions.
- Qualifications: Experience with Snowflake, Databricks, Python, and SQL required.
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
Required Skills & Experience
- 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
- Familiarity with Git-based development workflows
- Experience with Power BI, Grafana, or similar tools
- Strong communication skills and ability to work across cross-functional teams
This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.
If this seems like a good fit, please apply today!
Data Integration Engineer in Glasgow employer: MCGREGOR BOYALL ASSOCIATES LIMITED
Contact Detail:
MCGREGOR BOYALL ASSOCIATES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. 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 or GitHub repository showcasing your projects, especially those involving Snowflake, Databricks, or any cool data integrations you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data integration and analytics. Practice explaining your past projects and how they relate to the role you're applying for. 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 by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Integration Engineer in Glasgow
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. We love seeing genuine enthusiasm!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with developers or UX stakeholders. We value teamwork at StudySmarter!
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 see what you bring to the table!
How to prepare for a job interview at MCGREGOR BOYALL ASSOCIATES LIMITED
✨Know Your Tech Stack
Make sure you brush up on your experience with Snowflake, Databricks, Python, and SQL. 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 Collaboration Skills
Since this role involves working with developers, data owners, and UX stakeholders, prepare examples that highlight your ability to collaborate effectively. Think of times when you translated business needs into technical solutions and how you communicated with different teams.
✨Prepare for Technical Questions
Expect to dive deep into data modelling, ETL/ELT processes, and performance optimisation. Brush up on your knowledge of Kafka and modern data pipeline frameworks, and be ready to explain how you've applied these in real-world scenarios.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss how you've monitored and optimised data performance in the past. Think of specific instances where you resolved issues and improved data workflows, and be ready to share your thought process during those situations.