At a Glance
- Tasks: Integrate diverse data sources into enterprise analytics platforms for AI and analytics.
- Company: Join a globally recognised client in a hybrid work environment.
- Benefits: Competitive contract, flexible working, and opportunities to enhance your skills.
- Other info: Collaborate with cross-functional teams in a dynamic and supportive setting.
- Why this job: Make a real impact by shaping data structures that drive innovation.
- Qualifications: Experience with Snowflake, Databricks, Kafka, Python, and SQL required.
The predicted salary is between 50000 - 60000 € per year.
Are you an experienced Data Engineer with experience of Data Integration in Production Environments? I am working with an internationally renowned client who is looking for someone to help integrate diverse internal and external data sources into enterprise analytics platforms to support AI and analytical workloads.
The role exists to translate business and user needs into robust data structures and pipelines that downstream developers, analysts and UX teams can rely on. You will work with cross-functional stakeholders to ensure data is well modelled and clearly understood by its consumers.
- Hands-on experience integrating data into Snowflake and Databricks in production environments.
- Strong working knowledge of Kafka, Python and SQL.
- Experience building and maintaining data pipelines using modern ETL/ELT tools.
- Experience with visualisation or monitoring tools such as Power BI and Grafana.
- Solid grounding in big data engineering and data analytics principles.
- Experience supporting AI or ML inference pipelines and collaborating with UX or front-end teams.
Apply now for immediate consideration!
Integration & Data Engineer in Paisley employer: Henderson Scott
Join a leading international organisation in Glasgow as a Data Integration Engineer, where you will be part of a dynamic and innovative team dedicated to transforming data into actionable insights. With a strong emphasis on employee growth, the company offers extensive training opportunities and a collaborative work culture that values creativity and diversity. Enjoy the benefits of a hybrid working model, competitive remuneration, and the chance to work on cutting-edge technologies that drive AI and analytics forward.
StudySmarter Expert Advice🤫
We think this is how you could land Integration & Data Engineer in Paisley
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data integration projects, especially those involving Kafka, Python, and SQL. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of ETL/ELT tools and big data principles. Be ready to discuss how you've built and maintained data pipelines in production environments, as this will definitely impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates. Plus, it’s super easy!
We think you need these skills to ace Integration & Data Engineer in Paisley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Data Integration, especially in production environments. We want to see your hands-on work with Snowflake, Databricks, and any relevant tools like Kafka or Python.
Showcase Your Projects:Include specific examples of projects where you've built data pipelines or integrated diverse data sources. This helps us understand how you translate business needs into robust data structures.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so explain how your skills align with the role and how you can contribute to our team.
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 without any hiccups.
How to prepare for a job interview at Henderson Scott
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Databricks, Snowflake, Kafka, Python, and SQL. Be ready to discuss how you've used these technologies in past projects, especially in production environments. This will show that you’re not just familiar with the tools but have hands-on experience.
✨Understand Data Integration
Prepare to explain your approach to integrating diverse data sources. Think about specific examples where you’ve successfully built data pipelines or worked with ETL/ELT tools. Highlight how you translated business needs into data structures that were reliable for downstream users.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be ready to share experiences where you collaborated with developers, analysts, or UX teams. Discuss how you ensured that data was well modelled and understood by its consumers, as this will demonstrate your ability to work effectively in a team.
✨Showcase Your Analytical Mindset
Be prepared to talk about your experience with AI and ML inference pipelines. If you’ve supported any analytical workloads, mention them! This will highlight your understanding of big data engineering principles and your ability to contribute to enterprise analytics platforms.
