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- Tasks: Integrate data sources and design scalable models for analytics and AI.
- Company: Join a dynamic enterprise technology team in Glasgow.
- Benefits: Competitive day rate, hybrid work model, and a focus on innovation.
- Other info: Fast-paced environment with opportunities for continuous improvement.
- Why this job: Make an impact on cutting-edge data platforms and AI solutions.
- Qualifications: Experience with Snowflake, Databricks, Python, and SQL required.
The predicted salary is between 40500 - 49500 £ 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
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 Scotland employer: McGregor Recruitment
Contact Detail:
McGregor Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Snowflake, Databricks, or Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data integration scenarios and be ready to discuss your experience with ETL/ELT pipelines. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout 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 in Scotland
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 for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since this role involves collaboration with various teams, make sure to highlight your communication skills in your application. We love candidates who can bridge the gap between technical and non-technical stakeholders!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at McGregor Recruitment
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Snowflake, Databricks, Python, and SQL. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you translated business needs into technical solutions and how you communicated with different stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially related to data integration and ETL/ELT pipelines. Practice articulating your thought process when tackling complex data issues or optimising performance.
✨Demonstrate Your Passion for Innovation
This role is all about contributing to innovative solutions. Be prepared to discuss any personal projects or experiences that showcase your enthusiasm for data engineering and AI-driven solutions. Show them you're not just looking for a job, but a chance to make an impact!