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- Tasks: Design and maintain data systems for analytics and support data governance.
- Company: Join Babcock, a leader in creating a safe and secure world.
- Benefits: Enjoy flexible working, a matched pension scheme, and health perks.
- Why this job: Be part of impactful projects while collaborating with a dynamic team.
- Qualifications: Degree in relevant fields and experience in API integration and data management.
- Other info: Role offers hybrid working and opportunities for volunteering.
The predicted salary is between 34000 - 45000 £ per year.
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Location: Flexible, UK + Hybrid Working Arrangements
Compensation: £34,000 – £45,000, Dependent on Experience + Benefits
Role Type: Full time / Fixed Term Contract 52 weeks
Role ID: SF
At Babcock, we’re working to create a safe and secure world, together. Join us as a Data Engineer and play your part.
The role
As a Data Engineer, you’ll design, build, and maintain systems and architectures that enable the collection, processing, storage, and access of UKA and customer data, supporting analytics robustly.
Daily responsibilities include supporting data governance and protection, and contributing to the deployment of new tools and technologies for data management. You will:
- Collaborate with the business to deliver analysis projects, focusing on data collection and management
- Lead data collection, cleansing, and integration from various sources, including setting up APIs and automated data extraction
- Audit and improve data quality, providing insights on issues
- Assist Data Analysts in identifying trends within large datasets
- Monitor and troubleshoot data infrastructure and pipelines within projects
This full-time role (37 hours/week) offers flexibility and can be based in locations such as Bristol, Leicester, Devonport, Lyneham, Warrington, Whetstone, London, Wyton, and Yeovilton, with regular travel and home working arrangements.
Essential experience
- Experience in API data integration
- Experience managing Data Security, Quality, and Compliance
- Experience with Metadata management
- Proficiency in programming languages like SQL, Java, Python, and R
- Experience with data processing tools such as Spark
Qualifications
- Degree in Computer Science, Data Science, Mathematics, Engineering, or relevant experience and skills
Security Clearance
The successful candidate must obtain and maintain SC security clearance. Many roles are subject to national security restrictions based on nationality, citizenship, and residency. Further details are available at the company\’s security information page.
What we offer
- Matched contribution pension scheme with life assurance
- Access to digital healthcare services, health checks, and nutritional consultations
- Employee share scheme
- Shopping savings portal
- Payment of professional fees
- Reservists in the armed forces receive 10 days of paid leave
- Holiday Trading, allowing employees to buy or sell leave, available annually from February to March
- ‘Be Kind Day’ — one paid day annually for volunteering activities
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Data Engineer employer: Babcock International Group
Contact Detail:
Babcock International Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and Spark. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of Babcock on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data governance and quality management. Be ready to share specific examples of how you've improved data processes or resolved issues in past roles.
✨Tip Number 4
Since the role requires security clearance, ensure you understand the process and requirements for obtaining it. Being knowledgeable about this can demonstrate your commitment and readiness for the position.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and required skills for the Data Engineer position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Technical Skills: Make sure to emphasise your proficiency in programming languages like SQL, Java, Python, and R. Include specific examples of how you've used these skills in previous roles or projects.
Showcase Relevant Experience: Detail your experience with API data integration, data security, quality management, and compliance. Use bullet points to make this information clear and easy to read.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the role and how your background makes you a suitable candidate. Mention your understanding of data governance and your enthusiasm for contributing to analytics projects.
How to prepare for a job interview at Babcock International Group
✨Showcase Your Technical Skills
As a Data Engineer, you'll need to demonstrate your proficiency in programming languages like SQL, Java, Python, and R. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or code snippets to showcase your expertise.
✨Understand Data Governance
Since the role involves supporting data governance and protection, make sure you understand the principles of data quality, security, and compliance. Be ready to discuss how you've managed these aspects in previous roles and any tools you've used for data management.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to troubleshoot data infrastructure and pipelines. Think of scenarios where you've encountered issues and how you resolved them. This will show your analytical thinking and problem-solving skills, which are crucial for this position.
✨Familiarise Yourself with APIs
Since the role involves setting up APIs and automated data extraction, brush up on your knowledge of API integration. Be prepared to explain how you've implemented APIs in past projects and the impact it had on data collection and management.
