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For Companies At a Glance
- Tasks: Join an Agile team to build and maintain cloud-based data solutions.
- Company: ARM is a leading talent acquisition consultancy in critical UK sectors.
- Benefits: Enjoy flexible working, 33 days leave, and private medical insurance.
- Why this job: Make an impact in vital industries while developing your skills in a supportive environment.
- Qualifications: Strong PostgreSQL and SQL skills; experience with AWS and Agile teams required.
- Other info: Must have lived in the UK for 10 years for security clearance.
The predicted salary is between 40000 - 48000 £ per year.
Job Description
Senior Data EngineerLocation: Farnborough, Hampshire (flexible home working)Clearance Required: UK DV (must have lived in the UK for 10 years)Salary: £50,000 – £60,000 + benefits
We're looking for an experienced Senior Data Engineer to join a growing team working across critical UK sectors. You'll apply your software development and data engineering expertise to design, build, and support scalable, sustainable data solutions in the cloud.
What you'll do:
- Work as part of an Agile team of Data Engineers
- Build, maintain, and operate cloud-based data environments
- Debug and resolve data processing and analytics issues
- Develop data integration and processing pipelines
- Collaborate with engineering, testing, and DevOps teams
- Support migration of test and production data
- Provide Tier 3 operational support
What we're looking for:
- Strong PostgreSQL administration and SQL programming skills
- Experience with AWS database offerings (e.g. RDS, Aurora)
- Background in resolving SQL performance issues
- Experience leading teams in Agile/Scrum environments
- Excellent communication and problem-solving skills
Desirable skills:
- AWS Aurora / RDS managed databases
- Large-scale data migration experience
- Familiarity with Oracle, DB2,
- Scripting (Python)
- AWS Data Migration Services (DMS) expertise
What's on offer:
- Contributory pension scheme
- Private medical insurance
- 33 days annual leave (including public and privilege holidays)
- Flexible benefits (life assurance, health schemes, gym membership, cycle to work, holiday buy/sell)
- Flexi-time and hybrid working
Disclaimer:
This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
Senior Data Engineer employer: Advanced Resource Managers Limited
Contact Detail:
Advanced Resource Managers Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially PostgreSQL and AWS services. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Showcase your experience in Agile/Scrum environments by preparing examples of how you've successfully led teams or projects. This will highlight your leadership skills and ability to work collaboratively, which are crucial for this position.
✨Tip Number 3
Prepare to discuss any large-scale data migration projects you've been involved in. Be ready to explain the challenges you faced and how you overcame them, as this is a desirable skill for the role.
✨Tip Number 4
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be beneficial during your interview.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PostgreSQL, AWS database offerings, and any relevant Agile/Scrum leadership roles. Use specific examples to demonstrate your skills in data engineering and software development.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your background aligns with the job requirements, particularly your experience with cloud-based data environments and problem-solving skills.
Highlight Relevant Projects: In your application, include details about specific projects where you built or maintained cloud-based data solutions. Discuss any large-scale data migrations you've been involved in and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a Senior Data Engineer role.
How to prepare for a job interview at Advanced Resource Managers Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with PostgreSQL and AWS database offerings during the interview. Be prepared to discuss specific projects where you've resolved SQL performance issues or built cloud-based data environments.
✨Demonstrate Agile Experience
Since the role involves working in an Agile team, share examples of how you've successfully led teams in Agile/Scrum environments. Discuss your approach to collaboration and how you handle challenges within a team setting.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially related to data processing and analytics issues. Think of scenarios where you've debugged complex problems and be ready to explain your thought process.
✨Communicate Clearly
Excellent communication is key for this role. Practice explaining technical concepts in a way that's easy to understand. This will not only help you connect with the interviewers but also demonstrate your ability to collaborate with non-technical teams.
