Data Engineer

Exciting Opportunity: Data Engineer

Our Client, a leading organisation in the data and technology sector, is seeking a talented Data Engineer to join their dynamic team. Known for fostering an innovative and collaborative environment, our Client is dedicated to advancing data-driven solutions within the regulatory landscape. They promote a culture of continuous learning, agility, and excellence, making it an inspiring place to develop your career.

Role Overview
This pivotal role is a response to strategic growth and the ongoing digital transformation within our Client. As a Data Engineer, you will be at the forefront of designing and implementing high-quality data solutions that significantly impact decision-making processes. Your expertise will help shape the future of data management and analytics, underpinning critical initiatives in a fast-paced, technology-enabled environment.

Key Responsibilities

• Lead technical designs for scalable data platforms within an AWS Cloud environment, guiding the implementation of robust solutions.
• Provide expert advice on architecture to ensure data solutions meet business needs and comply with regulatory standards.
• Review deliverables from various teams, ensuring adherence to best practices such as CI/CD, automated testing, and high-quality coding standards.
• Identify opportunities for product enhancements, proposing innovative solutions that deliver measurable benefits.
• Collaborate with senior professionals, stakeholders, and third-party providers to facilitate technology change and promote a data-centric approach.
• Foster a culture of agility, continuous improvement, and rapid delivery by applying modern engineering practices.

Essential Skills & Experience

• Extensive experience designing and developing end-to-end ETL pipelines on AWS and Cloudera data lake environments, supporting high-volume data ingestion with secure, scalable architectures.
• Proven track record delivering enterprise data solutions using tools such as Talend ETL, Python, and PySpark.
• Strong understanding of big data technologies, data governance, security, and compliance frameworks.
• Demonstrated ability to work effectively across diverse teams and manage complex integrations.
• Passionate about innovation with a focus on enhancing performance, reliability, and operational efficiency in data engineering.

Desirable Skills & Experience

• Prior experience with DataOps practices and automated testing approaches such as TDD and BDD.
• Familiarity with additional data processing tools and cloud services.
• Knowledge of regulatory requirements specific to data handling within a regulated environment.

Application Process
If you possess the skills and experience outlined above and are eager to make a meaningful impact within a forward-thinking organisation, we encourage you to apply. Please submit your CV today to be considered for this exciting opportunity to contribute to transformative data initiatives.