At a Glance
- Tasks: Design and build scalable data pipelines using AWS services and Python.
- Company: Join Rayo Cloud, a dynamic tech company focused on innovation.
- Benefits: Enjoy competitive salary, private medical cover, and generous holiday allowance.
- Other info: Opportunities for professional growth and continuous learning await you.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: Strong skills in Python, SQL, and experience with AWS data services required.
The predicted salary is between 36000 - 60000 £ per year.
Rayo Cloud is seeking highly skilled, Security Cleared AWS Data Engineers at all levels to design, build, and maintain scalable data pipelines and infrastructure using AWS-native services. This role focuses on data orchestration, automation, and containerisation to support high-performance data workflows across the organisation.
Key Responsibilities:
- Develop and maintain data pipelines using Python, SQL, and Apache Airflow.
- Containerise data applications and workflows using Docker.
- Build and optimise data solutions using AWS services including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch.
- Collaborate with cross-functional teams to deliver robust, secure, and scalable data infrastructure.
- Manage version control using GitLab (or similar).
- Monitor and troubleshoot data pipeline performance and reliability.
- Contribute to documentation and process improvement initiatives.
- Ensure data quality, governance, and security best practices are followed.
Essential:
- Strong programming skills in Python and proficiency in SQL.
- Experience with Apache Airflow for DAG orchestration and monitoring.
- Hands-on experience with Docker for containerisation.
- Proficient in AWS data services: Redshift, OpenSearch, Lambda, Glue, Step Functions, Batch.
- Familiarity with CI/CD pipelines and YAML-based configuration (e.g., GitLab CI/CD).
- Proficient in Git and collaborative development using GitLab (or similar).
- Understanding of AWS security best practices, IAM policies, and RBAC.
Desirable Skills:
- Experience with AWS services such as Athena, SQS, CloudWatch, CloudTrail, EMR.
- Exposure to infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Familiarity with documentation tools like Confluence and README standards.
- Experience working in consulting or client-facing environments.
Soft Skills:
- Strong problem-solving and troubleshooting abilities.
- Comfortable working in Agile environments.
- Effective stakeholder management and communication skills.
- Collaborative mindset and willingness to share knowledge.
Employee Benefits:
- Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies.
- Private medical cover for you and your spouse/partner, offered via Vitality.
- Discretionary bonus based on a blend of personal and company performance.
- Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
- Electric Vehicle leasing with salary sacrifice.
- Contributed Pension Scheme.
- Death in service cover.
At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.
We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
AWS Data Engineer employer: UBDS Group
UBDS Group is an excellent employer for those looking to make a significant impact in the field of business transformation. With a strong focus on collaboration and continuous improvement, employees benefit from a supportive work culture that prioritises professional development and offers extensive training opportunities. Located in a dynamic environment, this role not only allows for meaningful contributions to modernising legacy systems but also fosters personal growth within a forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS services like Redshift and Lambda. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and AWS. Don’t forget to brush up on your Python and SQL skills, as you might be asked to solve problems on the spot!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at UBDS Group. Tailor your application to highlight your experience with data pipelines and containerisation, and let’s grow together!
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS Data Engineer role. Highlight your experience with Python, SQL, and AWS services like Redshift and Glue. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving data pipelines or containerisation with Docker. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how you can contribute to our team. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at UBDS Group
✨Know Your AWS Services
Make sure you brush up on your knowledge of AWS services like Redshift, Glue, and Lambda. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Coding Skills
Since strong programming skills in Python and SQL are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Containerisation Know-How
Familiarise yourself with Docker and how it fits into the data pipeline workflow. Be prepared to discuss your experience with containerising applications and any best practices you've followed to ensure smooth deployments.
✨Collaboration is Key
This role involves working with cross-functional teams, so highlight your teamwork and communication skills. Share examples of how you've collaborated on projects, managed stakeholder expectations, and contributed to a positive team environment.
