At a Glance
- Tasks: Integrate diverse data sources into enterprise analytics platforms for AI and analytical workloads.
- Company: Join a renowned international client in a dynamic tech environment.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Exciting role with strong potential for career advancement in data engineering.
- Why this job: Make an impact by supporting innovative AI projects and collaborating with cross-functional teams.
- Qualifications: Experience with Snowflake, Databricks, Kafka, Python, SQL, and modern ETL/ELT tools.
The predicted salary is between 50000 - 65000 € 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'll work with cross-functional stakeholders to ensure data is well modelled and clearly understood by its consumers.
I am therefore keen to speak with candidates who have:
- 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.
- Familiarity with Git-based development workflows.
- 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.
- Strong documentation and communication skills in a cross-functional environment.
Apply now for immediate consideration!
Data Integration Engineer in Paisley employer: Henderson Scott
Join a leading international organisation as a Data Integration Engineer in Glasgow, where you will be part of a dynamic and collaborative work culture that values innovation and professional growth. With a strong focus on employee development, this role offers opportunities to enhance your skills in cutting-edge technologies like Databricks and Snowflake, while working alongside cross-functional teams in a hybrid environment that promotes work-life balance. Enjoy the unique advantage of contributing to impactful AI and analytical projects in a supportive atmosphere that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Integration 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 aren't even 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 – real-world examples go a long way!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Data Integration Engineer in Paisley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, Databricks, and any relevant data integration projects. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data integration and how your background makes you a perfect fit for our team. Let us know how you can contribute to our projects and support AI and analytical workloads.
Showcase Your Technical Skills:When filling out your application, make sure to mention your proficiency in Kafka, Python, SQL, and any ETL/ELT tools you've used. We love seeing candidates who are familiar with Git-based workflows and visualisation tools like Power BI and Grafana!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Don’t miss out on this opportunity to join our awesome team!
How to prepare for a job interview at Henderson Scott
✨Know Your Tech Stack
Make sure you brush up on your experience with Snowflake, Databricks, Kafka, Python, and SQL. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and understanding of data integration in production environments.
✨Showcase Your Pipeline Skills
Prepare to talk about how you've built and maintained data pipelines using modern ETL/ELT tools. Have examples ready that demonstrate your ability to create robust data structures and pipelines that support AI and analytical workloads.
✨Collaboration is Key
Since the role involves working with cross-functional teams, think of instances where you've collaborated with developers, analysts, or UX teams. Highlight your communication skills and how you ensured everyone understood the data models and structures.
✨Documentation Matters
Be prepared to discuss your approach to documentation. Strong documentation skills are crucial in a data engineering role, so share how you keep your work clear and accessible for others, especially in a hybrid environment.
