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For Companies At a Glance
- Tasks: Build and maintain data pipelines while shaping modern data architecture.
- Company: Join a forward-thinking team on an exciting platform journey.
- Benefits: Competitive pay, flexible work options, and opportunities for growth.
- Why this job: Make a real impact on data solutions and influence best practices.
- Qualifications: Strong SQL skills and experience with cloud data platforms required.
- Other info: Dynamic role with a chance to innovate in the Azure/Fabric space.
The predicted salary is between 36000 - 60000 £ per year.
The Role
As a Data Engineer, you will be responsible for building and maintaining data pipelines, integrating data from a wide range of systems, and shaping the organisation’s modern data architecture. This is an excellent opportunity to join a team early in its platform journey and have real influence over tooling, patterns, and best practices.
6 month contract
Skills & Experience
- Experience working as a Data Engineer, Analytics Engineer, or similar
- Strong SQL skills and experience designing and optimising data models and transformations
- Experience working with modern cloud data platforms (e.g. Fabric, Synapse, Snowflake, BigQuery, Databricks, etc.)
- Experience building and orchestrating data pipelines using cloud-native tooling
- Familiarity with BI tools and semantic / analytical model design
- Experience ingesting data from APIs and file-based sources (JSON, CSV, etc.)
If you're interested in this role, or opportunities in the Azure/Fabric space, please do get in contact or click 'apply' and one of our team will be in contact.
Data Engineer (Fabric) employer: Venturi
Contact Detail:
Venturi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Fabric)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss your experience with cloud platforms like Fabric and Snowflake. Practice common data engineering scenarios to demonstrate your problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities in the Azure/Fabric space, and applying directly can sometimes give you an edge. Plus, our team is eager to help you find the right fit!
We think you need these skills to ace Data Engineer (Fabric)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer or in similar roles. We want to see your strong SQL skills and any work you've done with cloud data platforms like Fabric or Snowflake. Tailoring your CV shows us you’re serious about the role!
Showcase Your Projects: Include specific examples of data pipelines you've built or optimised. If you've worked with APIs or file-based sources, let us know! This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's relevant. Make it easy for us to see why you're a great fit for the Data Engineer role!
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 don’t miss out on any updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Venturi
✨Know Your Data Tools
Make sure you brush up on your experience with cloud data platforms like Fabric, Synapse, and Snowflake. Be ready to discuss specific projects where you've built or optimised data pipelines, as this will show your hands-on expertise.
✨SQL Skills on Display
Since strong SQL skills are a must, prepare to demonstrate your ability to design and optimise data models. You might be asked to solve a problem on the spot, so practice common SQL queries and transformations beforehand.
✨Familiarity with BI Tools
Get comfortable talking about your experience with BI tools and how you've designed semantic or analytical models. Think of examples where your work has directly influenced decision-making through data insights.
✨API and File Ingestion Knowledge
Be prepared to discuss how you've ingested data from various sources like APIs and file formats (JSON, CSV). Having a couple of real-world examples ready will help you illustrate your understanding of data integration.
