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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 a cutting-edge project that impacts data management and security.
- Qualifications: Must have active Security Clearance and proficiency in AWS data services.
- Other info: This role is ideal for those passionate about big data technologies.
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.
Data Engineer - Big Data employer: BrightBox Group Ltd
Contact Detail:
BrightBox Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Big Data
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as Amazon S3, Redshift, and EMR. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Since the role requires collaboration with data scientists and analysts, brush up on your communication skills. Be prepared to discuss how you've effectively worked in teams before and how you can convey technical concepts to non-technical stakeholders.
✨Tip Number 3
Highlight any experience you have with big data technologies and frameworks. If you've worked on large-scale data processing projects, be ready to share specific examples that demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Given the importance of security clearance for this position, ensure that you are aware of the requirements and processes involved. If you already have active security clearance, mention it prominently during discussions to reassure the hiring team of your eligibility.
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 Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your active Security Clearance and how your background aligns with the key responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving data processing systems or data modelling, include these in your application. Describe your role and the impact of your work to illustrate your capabilities.
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 Ltd
✨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 you optimised data models for business intelligence needs.
✨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 data availability, showcasing your communication skills.
✨Prepare for Technical Questions
Expect technical questions related to big data technologies and ETL processes. Brush up on your knowledge of data modelling and database management, and be ready to troubleshoot hypothetical scenarios to demonstrate your problem-solving abilities.
