At a Glance
- Tasks: Design and maintain scalable data pipelines using AWS services and Python.
- Company: Join UBDS Group, a dynamic and innovative tech company.
- Benefits: Enjoy competitive salary, private medical cover, and 25 days holiday plus more.
- Other info: Collaborative culture with opportunities for professional growth and continuous learning.
- Why this job: Work on cutting-edge projects that make a real impact in various industries.
- Qualifications: Strong Python and SQL skills, experience with AWS services and Docker.
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.
Requirements
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.
Benefits
Why people choose to grow their careers at UBDS Group: Professionals choose to grow their careers at UBDS Group for its reputation as a dynamic and forward-thinking organisation that is deeply committed to both innovation and employee development. At UBDS Group, employees are given unique opportunities to work on cutting-edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain certifications that enhance their skills and marketability. UBDS Group fosters a collaborative environment where creativity and innovation are encouraged, allowing employees to contribute ideas and solutions that have a tangible impact on the company and its clients. This combination of professional development, a culture of innovation, and the opportunity to make meaningful contributions makes UBDS Group an attractive place for those looking to advance their careers and be at the forefront of technological and operational excellence.
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. We want you to grow with us and to help us achieve more.
- 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.
About UBDS Group
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.
Equal Opportunities
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 in Manchester 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.
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We think this is how you could land AWS Data Engineer in Manchester
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We think you need these skills to ace AWS Data Engineer in Manchester
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
