At a Glance
- Tasks: Design data structures and ensure data quality while collaborating with teams.
- Company: Dynamic technology consultancy offering remote work opportunities.
- Benefits: Initial 3-month contract with potential for extension and flexible working.
- Other info: Perfect for tech-savvy individuals looking to make an impact in data engineering.
- Why this job: Join a cutting-edge team and enhance your data engineering skills in a remote setting.
- Qualifications: Experience in Azure, SQL, data modelling, and proficiency in SPARX or similar tools.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic technology consultancy is seeking a SC Cleared Data Engineer for a fully remote, initial 3-month contract. The ideal candidate will have strong Azure-aligned data engineering and analysis experience along with skills in SQL, data modelling, and proficiency in SPARX or similar tools.
This role involves designing analysis-ready structures and collaborating with governance and engineering teams to ensure data quality.
Interested candidates should send their CV to the provided email.
Remote SC Cleared Data Engineer — Azure & Data Lake employer: Auxo Talent
Auxo Talent is an excellent employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements in the vibrant city of Manchester. With a strong focus on employee growth, we provide ongoing training and development opportunities, ensuring our team members thrive in their careers while making a meaningful impact in the Technology and Engineering sectors across the UK, Europe, and North America.
StudySmarter Expert Advice🤫
We think this is how you could land Remote SC Cleared Data Engineer — Azure & Data Lake
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure or data engineering. 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 related to data engineering and Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Remote SC Cleared Data Engineer — Azure & Data Lake
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Azure and data engineering experience. We want to see how your skills in SQL and data modelling align with what we're looking for, so don’t hold back!
Showcase Relevant Projects:If you've worked on projects involving SPARX or similar tools, let us know! Include specific examples that demonstrate your ability to design analysis-ready structures and ensure data quality.
Keep It Clear and Concise:We appreciate clarity! Make your application easy to read by using bullet points and clear headings. This helps us quickly see why you’d be a great fit for the role.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you!
How to prepare for a job interview at Auxo Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling. Have examples ready that demonstrate your ability to design analysis-ready structures and how you've collaborated with teams to ensure data quality.
✨Familiarise Yourself with SPARX
If you’ve worked with SPARX or similar tools, be prepared to explain how you’ve used them in past projects. If you haven’t, do a bit of research to understand its functionalities and be ready to discuss how you would approach using it.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company’s data governance practices and how they collaborate across teams. This shows your interest in the role and helps you gauge if it's the right fit for you.
