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- Tasks: Join a dynamic team to engineer and analyse data using Azure technologies.
- Company: Exciting client offering a fully remote role with a collaborative environment.
- Benefits: Initial 3-month contract with potential for extension and remote flexibility.
- Why this job: Make an impact by designing analysis-ready structures and curated datasets.
- Qualifications: Strong experience in Azure data engineering, SQL, and data modelling tools.
- Other info: Opportunity to collaborate with experts across governance and engineering.
The predicted salary is between 36000 - 60000 £ per year.
Our client currently seeks a SC Cleared Data Engineer to join their dynamic team on an initial 3 month contract. This role is fully remote.
- Strong Azure-aligned data engineering and analysis experience (e.g., data lake storage, SQL engines, pipeline orchestration, cataloguing).
- Proficiency in data modelling and translating it into standards, metadata.
- Proficiency in SPARX, Erwin or other similar modelling tools.
- Advanced data profiling, quality assessment, and rule specification for analytical fitness.
- Ability to design analysis-ready structures and curated datasets for reporting use cases.
- Skilled in documenting schemas, dictionaries, flows, and decision records for reuse.
- Strong SQL and data transformation skills; familiarity with Azure-centric tooling and practices.
- Effective collaboration across governance, engineering, and domain SMEs.
Should you be keen, kindly send a copy of your latest CV to naushad.c@auxotalent.com.
Data Engineer (SC Cleared) employer: Auxo Talent
Contact Detail:
Auxo Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (SC Cleared)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL and Azure. 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 questions and scenarios. Practice explaining your experience with data lakes, pipeline orchestration, and modelling tools like SPARX or Erwin. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure-aligned data engineering experience. We want to see how your skills in data lake storage, SQL engines, and pipeline orchestration fit the role perfectly!
Show Off Your Modelling Skills: If you've got experience with SPARX, Erwin, or similar tools, let us know! We love seeing how you can translate data modelling into standards and metadata.
Document Everything: Don’t forget to mention your ability to document schemas, dictionaries, and decision records. This is key for us, as we value effective collaboration across teams.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Auxo Talent
✨Know Your Azure Stuff
Make sure you brush up on your Azure data engineering skills. Familiarise yourself with data lake storage, SQL engines, and pipeline orchestration. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Master Data Modelling
Get comfortable with data modelling concepts and tools like SPARX or Erwin. Be prepared to explain how you've translated data models into standards and metadata in past projects. This will demonstrate your technical expertise and understanding of the role.
✨Showcase Your SQL Skills
Since strong SQL skills are a must, be ready to discuss specific examples where you've used SQL for data transformation. You might even want to prepare for some practical questions or scenarios that test your SQL knowledge during the interview.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially in governance and engineering. Share examples of how you've effectively collaborated with subject matter experts to deliver successful data solutions. This will show that you can work well in a dynamic team environment.
