At a Glance
- Tasks: Lead the design of Azure Data Factory ETL pipelines and enhance Power BI datasets.
- Company: A leading technology consulting firm with a focus on innovation.
- Benefits: Flexible hybrid working, medical insurance, and comprehensive benefits.
- Why this job: Make an impact by optimising data solutions in a dynamic environment.
- Qualifications: Advanced skills in Power BI and Azure Synapse required.
- Other info: Only 12 office days each month for a great work-life balance.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology consulting firm is looking for a Senior Data Engineer in the UK. In this high-responsibility role, you will lead the design and optimisation of Azure Data Factory ETL pipelines, develop scalable Synapse Analytics models, and enhance Power BI datasets.
Candidates should possess advanced skills in Power BI and Azure Synapse. The position allows for flexible hybrid working with only 12 office days each month and offers comprehensive benefits including medical insurance.
Senior Data Engineer - Azure Data Factory & Power BI Lead employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure Data Factory & Power BI Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure Data Factory or Power BI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Data Factory and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. We recommend practising how you’d tackle real-world problems using Azure Synapse and ETL processes. Confidence is key!
✨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 about their job search.
We think you need these skills to ace Senior Data Engineer - Azure Data Factory & Power BI Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your expertise can help us optimise ETL pipelines and enhance datasets.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and come up with innovative solutions!
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 important updates from our team!
How to prepare for a job interview at Ignite Digital
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory and Power BI skills. Be ready to discuss specific projects where you've designed ETL pipelines or optimised datasets. The more detailed examples you can provide, the better!
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be expected to lead. Prepare to talk about times when you've taken charge of a project or mentored others. Highlight your ability to collaborate and drive results within a team.
✨Understand the Company’s Needs
Research the consulting firm and understand their focus areas. Tailor your answers to show how your experience aligns with their goals, especially in terms of scalable Synapse Analytics models and data optimisation.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current data challenges or future projects involving Azure technologies. This shows you're not just interested in the job, but also in contributing to their success.