PBT Group is looking for a motivated and talented DataOps Engineer to join an industry-leading IT company specialising in financial services who primary focus on AWS, to provide scalable, secure, and efficient data-driven solutions.As a DataOps Engineer you will be responsible for designing, developing, and maintaining our cloud-based data platforms on AWS. This role presents an excellent opportunity for individuals passionate about data engineering and cloud technologies to advance their careers in a forward-thinking, innovative environment. ResponsibilitiesData Pipeline Development:Support the ingestion, transformation, and storage of large datasets from diverse sources, ensuring data cleanliness, reliability, and readiness for analysis.Work closely with data engineers, analysts, and stakeholders to integrate new data sources effectively.Automation & Optimization:Develop and maintain automation scripts (e.g., Python) to streamline data workflows and platform management tasks.Monitor data platform performance, troubleshoot issues, and implement improvements for efficiency and cost optimisation.Cloud Infrastructure & Platform Management:Design and implement scalable, high-performance infrastructure solutions, utilising containerisation and automation tools.Use infrastructure as code (Terraform) to provision and manage AWS resources, ensuring high performance, security, scalability, and reliability.Resolve problems across multiple domains using troubleshooting and problem-solving techniques.Continuous Integration/Continuous Deployment (CI/CD):Drive CI/CD implementation and improvements by incorporating best practices and automation tools.Conduct code reviews and contribute to team knowledge sharing for consistency and high-quality output.Documentation & Knowledge Sharing:Maintain comprehensive documentation of data processes, platform configurations, and best practices.Stay current with the latest AWS services, data engineering tools, and industry trends, integrating new knowledge to enhance the data platforms. QualificationsEducation: Bachelor's degree (3 years) in Computer Science, Informatics, Data Science, Mathematics, Statistics, or Engineering.Certifications: AWS Certified Cloud Practitioner or other relevant certifications are advantageous.Technical Skills:Advanced understanding of AWS services (S3, EC2, Lambda, RDS).Proficiency in at least one programming language (e.g., Python, Java, SQL); familiarity with scripting languages is a plus.Experience with infrastructure as code tools such as Terraform. Competencies & AttributesTechnical and Analytical:Strong analytical thinking with attention to detail.Intellectual curiosity and continuous improvement mindset.Interpersonal:Stakeholder engagement skills, including collaboration, influencing, and persuading.Adaptability and ability to thrive in a fast-paced environment.Professional:Ability to work effectively with diverse teams and present recommendations across organisational levels.Experience in a regulated environment within the financial services industry is advantageous. Additional Requirements:Industry Knowledge: Experience within the financial services industry in a regulated environment for multi-product, multi-stakeholder organisations is a strong advantage.Business Acumen: Ability to present and communicate recommendations effectively across all organisational levels.Team Collaboration: Ability to work with diverse teams to ensure successful project implementation.