Senior Data Engineer

Our client is a cutting-edge technology company that provides scalable, secure, and efficient solutions for cloud computing and data management. They are at the forefront of cybersecurity and compliance innovation, empowering businesses to leverage the latest technological advancements to mitigate risk, optimise operations, and drive growth. They have played a pivotal role in helping to drive digital transformation initiatives for the payments and settlement, fintech, regtech, central banking, e-commerce, insurance, and online government verticals. With a passion for innovation and a demonstrated history of client achievements across multiple jurisdictions, they have embarked on an exciting shift to digital operational resilience and compliance, fuelled by their commitment to technological innovation.

Ready to revolutionise cybersecurity through cutting-edge technologies?

Join our client's high-grade software engineering team and help build the next generation of intelligent cybersecurity solutions. In an era where generative AI is redefining the economics of cybercrime and risk management, markets are growing exponentially, and you'll help create breakthrough user experiences that translate complex cyber threats into clear business impact.

Role Overview
Our client is seeking a highly motivated and experienced Senior Data Engineer to join our growing team. As a key member of their AI & Data Science practice, you will play a critical role in designing, building, and maintaining our data infrastructure and pipelines, with a strong focus on security, automation and ethical AI practices. This is a hands-on role with the opportunity to significantly impact the success of our business by driving data-driven decisions and enabling innovative AI/ML model development for advanced risk management.

This is initially an equity-only, 100% remote, part-time role (8-10 hours, flexible), and you'll be joining a high-performing, innovative and international team.

Please ensure you understand what Equity-Only means when applying for the role.
Responsibilities:

• Work closely with our cyber risk, AI governance and compliance domain experts to ensure data acquisition and processing complies with all relevant regulations and ethical guidelines.
• Focus on acquiring high-quality data suitable for training AI/ML models while maintaining data privacy and security.
• Design and develop robust and scalable data pipelines using a variety of technologies, including AWS, Azure, and cloud-native services.
• Develop and maintain data warehouses, data lakes, and other data storage solutions, leveraging open-source solutions where feasible.
• Build and optimise ETL/ELT processes to extract, transform, and load data from various sources.
• Implement data quality checks and monitoring to ensure data accuracy and integrity.
• Collaborate with data scientists and machine learning engineers to support model development and deployment.
• Contribute to the development and implementation of data governance and security best practices.
• Stay abreast of the latest advancements in data engineering technologies and best practices.
• Mentor junior data engineers and contribute to team growth.

Qualifications:

• 5+ years of experience as a Data Engineer or a similar role.
• Strong experience with cloud platforms (AWS and/or Azure) and cloud-native services (e.g., AWS Glue, EMR, Redshift, Azure Data Factory, Databricks, Snowflake).
• Expertise in SQL, Python, and other relevant programming languages.
• Experience with data warehousing and data lake architectures.
• Experience with ETL/ELT tools and technologies.
• Experience with data quality and data validation techniques.
• Experience working with AI/ML teams and supporting model development.
• Strong understanding of data privacy and security regulations (e.g., GDPR, CCPA, NSCS, HIPAA) and ethical considerations in AI/ML.
• Excellent communication and collaboration skills.
• Experience working in a fast-paced, startup environment, ideally in a highly regulated industry (e.g., healthcare, finance) in the US.
• Bonus Points: Experience with containerization technologies (Docker, Kubernetes), stream processing technologies (Kafka, Spark Streaming), and graph databases.

Benefits:

• Competitive equity package.
• Opportunity to work with cutting-edge technologies and transformative solutions.
• Flexible work environment - we are a remote-first company.
• Career development and growth opportunities.
• Dynamic and collaborative team culture.

Please apply now to embark on an exciting journey with our client and help shape the future of cyber resilience and compliance.