Senior Data Engineer – Mid Shift

• Build, maintain, and optimise production-grade data pipelines for ingestion, transformation, and delivery using AWS and Snowflake
• Implement Change Data Capture pipelines and manage schema evolution across application databases and external data sources
• Develop and maintain workflow orchestration with error handling, retries, monitoring, alerting, and operational documentation
• Implement automated data quality checks and controls
• Design and maintain bronze, silver, and gold medallion architecture layers
• Optimise data storage, partitioning, query performance, and cloud resource usage across AWS and Snowflake
• Develop and maintain secure, versioned APIs and data feeds for internal and external consumers
• Contribute to CI/CD pipelines, Terraform infrastructure as code, and environment management
• Support data catalogue development, including lineage, access controls, ownership, and business glossaries
• Collaborate with the Data Architect and stakeholders to implement platform standards and support data consumption requirements
• Maintain technical documentation, data flow records, and operational runbooks
• Apply AI-assisted development tools responsibly to improve productivity, code quality, and delivery efficiency while protecting sensitive information

• Degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience
• Typically five or more years of experience in data engineering or demonstrable experience delivering reliable, production-grade cloud data solutions
• Strong proficiency in Python and SQL for data engineering and transformation
• Hands-on experience with AWS services, particularly S3, DMS, Lambda, and Step Functions
• Practical experience with Snowflake, including SQL, Python, Tasks, role-based access control, data cataloguing, and data quality management
• Experience implementing CDC pipelines and handling schema changes
• Experience developing automated data quality checks and controls
• Familiarity with medallion architecture and dimensional data modelling
• Knowledge of API development and secure data delivery using API Gateway, Lambda, and REST APIs
• Familiarity with CI/CD, Terraform, Git, and CloudWatch
• Experience using AI-assisted engineering tools, with the ability to validate generated outputs and safeguard sensitive data
• Strong problem-solving skills, attention to detail, and a focus on delivering reliable, scalable data solutions
• Excellent written and spoken English, with clear asynchronous communication skills and the ability to collaborate effectively within a distributed team
• Strong understanding of data privacy, security, and governance, particularly in a financial services environment
• Preferred: Experience in financial services or investment management, particularly with asset manager, fund, or investment data
• Preferred: Previous experience working in a remote or distributed team
• Preferred: Experience working with analytical or AI-assisted solutions within Snowflake
• Familiarity with Microsoft 365, Salesforce, eVestment, FactSet, Preqin, Windows, and Linux

• Day 1 HMO Coverage
• Unlimited Barista Coffee all shift long
• Free Parking & Shuttle
• Premium Game Lounge – Relax and recharge in our dedicated on-site recreational zone
• Social Passion Clubs – Photography, Dance, Fitness, Book, and Music Clubs
• Engaging Monthly Events – Enjoy regular team activities, celebrations, prizes, and rewards
• Referral Incentives – Get rewarded for bringing top talent to the team
• Statutory Benefits – Maternity, Paternity, and Solo Parent Leaves, Magna Carta for Women, OT, and Premium Pays
• Employee Referral Incentives (Bronze)