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- Tasks: Design and maintain data pipelines while collaborating with data scientists.
- Company: Join a leading talent acquisition consultancy in Edinburgh.
- Benefits: Competitive pay up to £55 per hour and flexible working arrangements.
- Why this job: Make an impact in the data world with innovative projects and cutting-edge tools.
- Qualifications: Experience with ETL/ELT frameworks and Big Data tools required.
- Other info: 6-month contract with potential for career growth and development.
The predicted salary is between 44 - 66 £ per hour.
A talent acquisition consultancy is seeking a Data Engineer for a 6-month contract in Edinburgh. The role involves designing and maintaining data pipelines, implementing data governance, and collaborating with data scientists.
Candidates must have experience with ETL/ELT frameworks and Big Data tools, and hold or be eligible for UK Security clearance.
This position offers competitive pay of up to £55 per hour within IR35 guidelines.
Data Engineer: Data Pipelines & DataOps (Edinburgh, 6m) employer: Advanced Resource Managers Ltd
Contact Detail:
Advanced Resource Managers Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Data Pipelines & DataOps (Edinburgh, 6m)
✨Tip Number 1
Network like a pro! Reach out to fellow data engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving ETL/ELT frameworks and Big Data tools. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your experience with data pipelines and governance clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer: Data Pipelines & DataOps (Edinburgh, 6m)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT frameworks and Big Data tools. 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 the perfect fit for this Data Engineer role. Share specific examples of your work with data pipelines and governance that demonstrate your expertise.
Show Off Your Collaboration Skills: Since this role involves working closely with data scientists, make sure to mention any collaborative projects you've been part of. We love seeing how you can work in a team to achieve great results!
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 during the process!
How to prepare for a job interview at Advanced Resource Managers Ltd
✨Know Your Data Pipelines
Make sure you can discuss your experience with designing and maintaining data pipelines in detail. Be ready to explain the ETL/ELT frameworks you've worked with and how they relate to the role. This shows you’re not just familiar with the concepts but have practical experience.
✨Brush Up on Big Data Tools
Familiarise yourself with the specific Big Data tools mentioned in the job description. If you’ve used tools like Hadoop, Spark, or Kafka, be prepared to share examples of how you’ve implemented them in past projects. This will demonstrate your technical expertise and relevance to the role.
✨Collaboration is Key
Since the role involves working closely with data scientists, think of examples where you’ve successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve contributed to a project’s success through teamwork.
✨Understand Data Governance
Be ready to discuss your understanding of data governance principles. Prepare to talk about any frameworks or policies you’ve implemented in previous roles to ensure data quality and compliance. This will show that you take data integrity seriously, which is crucial for this position.
