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- Tasks: Join a public sector project as a Data Architect, focusing on transactional and analytical data processes.
- Company: Work with a reputable public sector client committed to impactful projects.
- Benefits: Enjoy a competitive rate of £450 per day and flexible working arrangements.
- Why this job: Be part of a vital project that enhances data architecture in the public sector.
- Qualifications: Experience with REDIS, Dynamo, Oracle, Postgres, PowerBI, Informatica, Python, and PEGA AES required.
- Other info: This is a 6-month contract with an immediate start based in Manchester.
The predicted salary is between 36000 - 54000 £ per year.
I am working with a public sector client who need a Data Architect to join a 6 month project.
Inside IR35
6 month
2x a month – Manchester
450 per day
Immediate start
Transactional data process: REDIS, Dynamo, Oracle, Postgres
Analytical data process PowerBI, Informatica, Python, Dynatrace RUM, PEGA AES
Data Architect - Inside IR35 6 month contract employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Inside IR35 6 month contract
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as REDIS, Dynamo, and PowerBI. Having hands-on experience or relevant projects to discuss can set you apart during interviews.
✨Tip Number 2
Network with professionals in the public sector and data architecture fields. Attend meetups or online webinars where you can connect with others who might have insights into the role or the client’s needs.
✨Tip Number 3
Prepare to discuss your experience with transactional and analytical data processes. Be ready to provide examples of how you've successfully implemented solutions using the tools listed in the job description.
✨Tip Number 4
Research the public sector's current trends and challenges related to data architecture. Showing that you understand the broader context of the role can impress interviewers and demonstrate your commitment to the position.
We think you need these skills to ace Data Architect - Inside IR35 6 month contract
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Data Architect, especially in the context of public sector projects. Highlight your experience with transactional and analytical data processes mentioned in the job description.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences related to REDIS, Dynamo, Oracle, Postgres, PowerBI, Informatica, Python, Dynatrace RUM, and PEGA AES. Use specific examples to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the needs of the project. Emphasise your ability to work within IR35 regulations and your readiness for an immediate start.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Data Technologies
Familiarise yourself with the specific data technologies mentioned in the job description, such as REDIS, Dynamo, Oracle, and Postgres. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Analytical Skills
Since the role involves analytical data processes like PowerBI and Informatica, be ready to demonstrate your analytical skills. Prepare examples of how you've used these tools to derive insights from data and improve decision-making.
✨Understand the Public Sector Context
Research the public sector client and understand their data needs and challenges. This will help you tailor your responses and show that you are genuinely interested in contributing to their goals.
✨Prepare for Technical Questions
Expect technical questions related to data architecture and processing. Brush up on your knowledge of data modelling, ETL processes, and best practices in data management to confidently answer any queries.
