FullStack DataOps Engineer
- birmingham, england, United Kingdom
- Job type not listed
- £50 - £75 Per Hour
Job Description
The Role You Are Considering
The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors, Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.
We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP and continue to grow and are looking for talented individuals who want to join our high performing team, if you would like to develop your career as part of a team of highly skilled professionals who are passionate about increasing the value of the data and analytics in organisations you have come to the right place.
We are looking for a versatile Full Stack Data Engineer to join our team and drive the development of scalable data platforms and web applications. This role blends data engineering expertise with full stack development skills, enabling the delivery of robust, cloud-native solutions that support analytics, automation, and digital transformation.
Security Clearance
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
Your Role
We are looking for a versatile Full Stack Data Engineer to join our team and drive the development of scalable data platforms and web applications. This role blends data engineering expertise with full stack development skills, enabling the delivery of robust, cloud-native solutions that support analytics, automation, and digital transformation.
Responsibilities
- Data Engineering, Full Stack & Platform Development
- Design and implement scalable data pipelines using tools like Apache Spark, Airflow, or dbt.Build and maintain data lakes, warehouses, and real-time streaming solutions.
- Develop APIs and microservices to expose data securely and efficiently.
- Ensure data quality, governance, and compliance across platforms.
- Design, code, test, and deploy scalable and efficient web applications using modern technologies.
- Work closely with designers, product managers, and other developers to create seamless user experiences.
- Create responsive and interactive user interfaces using HTML, CSS, JavaScript, and front-end frameworks such as React (must), Angular, Vue.js, and TypeScript.
- Build and maintain server‑side logic, databases, and APIs using Spring and Java.
- Experience with cloud‑native microservices architectures deployed on Kubernetes, hosted on Red Hat OpenShift.
- Implement and manage CI/CD pipelines using GitHub and ArgoCD.
- Optimize application performance for speed, scalability, and reliabilit
- Maintain clean, well‑documented code and conduct peer code reviews.
Your Skills And Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Full Stack Developer amd Data Engineer.
- Proficiency in front‑end technologies: HTML, CSS, JavaScript, React (must), Angular, Vue.js.
- Strong back‑end development skills: Java and Node.js (must); Python or Ruby on Rails is a plus.
- Experience with cloud‑native architectures and containerization (Docker, Kubernetes).
- Familiarity with Red Hat OpenShift.Experience with CI/CD tools and version control systems (Git, GitHub, ArgoCD).
- Excellent problem‑solving skills and attention to detail.Strong communication and collaboration skills.
Preferred Qualifications
- Experience with relational databases, especially PostgreSQL.
- Knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform.
- Familiarity with Agile methodologies and DevOps culture.
- Exposure to data visualization tools (Power BI, Fabric) or custom dashboards.