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.

Responsibilities

• Data 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.

Qualifications

• Education: 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 & Attributes

• Technical 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.