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- Tasks: Design and implement data pipelines for large-scale processing and analytics.
- Company: Join a dynamic team focused on innovative data solutions in a hybrid work environment.
- Benefits: Enjoy flexible working arrangements and competitive daily rates.
- Why this job: Be part of impactful projects while collaborating with talented data professionals.
- Qualifications: Must have active Security Clearance and proficiency in AWS data services.
- Other info: This role is hybrid, requiring 2-3 days per week in Gloucester.
Hybrid working (2-3 days per week in Gloucester)
3 months
£450-£550 per day (inside IR35)
We are seeking a skilled, Security Cleared, Data Engineer to join our team. The ideal candidate will have a strong background in data architecture and engineering, specifically within the AWS ecosystem. You will be responsible for designing and implementing data pipelines that support large-scale data processing and analytics.
Key Responsibilities:
- Develop, construct, test, and maintain data architectures and data processing systems.
- Collaborate with data scientists and analysts to understand data requirements and ensure data availability.
- Design and optimise data models to support business intelligence and reporting needs.
- Monitor and troubleshoot data systems to ensure high availability and performance.
- Implement best practises for data management, security, and compliance.
Required Skills:
- Active Security Clearance
- Proficiency in AWS services related to data processing and storage, such as Amazon S3, Redshift, and EMR.
- Strong experience with big data technologies and frameworks.
- Solid understanding of data modelling, ETL processes, and database management.
- Ability to work effectively in a team environment and communicate technical concepts clearly to non-technical stakeholders.
Contact Detail:
BrightBox Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Big Data
✨Tip Number 1
Make sure to highlight your experience with AWS services in your conversations. Familiarity with Amazon S3, Redshift, and EMR is crucial, so be ready to discuss specific projects where you've used these technologies.
✨Tip Number 2
Since collaboration is key in this role, prepare examples of how you've worked with data scientists and analysts in the past. Show that you can effectively communicate technical concepts to non-technical team members.
✨Tip Number 3
Given the focus on data architecture and engineering, brush up on your knowledge of data modelling and ETL processes. Be ready to discuss how you've designed and optimised data models in previous roles.
✨Tip Number 4
Since security clearance is a requirement, ensure you mention your active Security Clearance status early in the conversation. This will help establish your eligibility for the role right away.
We think you need these skills to ace Data Engineer - Big Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, big data technologies, and data architecture. Use specific examples that demonstrate your skills in developing data pipelines and collaborating with data scientists.
Craft a Strong Cover Letter: In your cover letter, emphasise your active Security Clearance and how your background aligns with the job requirements. Mention your experience in optimising data models and ensuring data availability, as these are key responsibilities for the role.
Showcase Relevant Projects: If you have worked on projects involving data processing systems or ETL processes, include these in your application. Describe your role and the impact of your work, particularly in relation to business intelligence and reporting needs.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at BrightBox Group
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services like S3, Redshift, and EMR. Be prepared to discuss specific projects where you utilised these tools, as this will demonstrate your hands-on knowledge and ability to implement data solutions effectively.
✨Discuss Data Architecture Design
Be ready to explain your approach to designing data architectures. Discuss how you have developed and maintained data processing systems in the past, and share examples of how your designs have improved data availability and performance.
✨Emphasise Collaboration Skills
Since the role involves working closely with data scientists and analysts, be sure to talk about your teamwork experiences. Share examples of how you've collaborated to understand data requirements and ensure that data is accessible for analysis.
✨Prepare for Technical Questions
Expect technical questions related to big data technologies, ETL processes, and database management. Brush up on these topics and be ready to explain complex concepts in a way that non-technical stakeholders can understand, showcasing your communication skills.
