Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer at Love, Bonito optimizing data pipelines and ensuring data quality for analytics. Collaborating on data architecture, operations, and compliance for effective data management.
Responsibilities
- Update documentation of existing data pipelines to establish clear operational standards and knowledge transfer
- Refactor legacy code to improve scalability, performance and maintainability
- Optimise aggregation layers and transformation logic for reporting workloads
- Reduce pipeline runtimes through strategic improvements in query optimisation, partitioning and resource allocation
- Review and enhance data models supporting analytics, reporting and machine learning use cases
- Design and implement efficient data structures that balance query performance with storage costs
- Collaborate with analytics and data science teams to ensure data models meet downstream requirements
- Implement comprehensive data quality checks and validation frameworks within pipelines
- Develop unit tests for data transformations to ensure correctness and prevent regressions
- Monitor data integrity throughout the pipeline lifecycle
- Establish and maintain data quality metrics and alerting mechanisms
- Troubleshoot pipeline failures and implement root cause analysis
- Design and deploy preventative measures to minimize future incidents
- Maintain pipeline uptime targets of 99%
- Ensure SLA adherence across critical data workflows
- Maintain data security, governance and compliance standards across all data assets
- Implement access controls and data lineage tracking
- Ensure adherence to regulatory requirements and internal data policies
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 2-4 years data engineering experience
- Proven track record of building and maintaining production data pipelines at scale
- Strong problem-solving skills with focus on systematic root cause analysis
- Excellent communication skills for technical documentation and cross-functional collaboration
- Core Stack
- Data Warehousing: Experience with cloud data warehouses (Redshift, BIgQuery) or lakehouse architectures
- AWS Cloud Services: Working knowledge of S3, IAM, EC and related services
- Programming: Strong Python skills with focus on PySpark, SQL, Scala for ETL
- DevOps & Engineer Practices
- Containerisation (Docker, Kubernetes)
- CI/CD pipelines and version control (Git, GitHub Actions)
- Preferred Qualifications
- cExperience optimisation aggregation layers for high-volume reporting workloads
- Familiarity with Delta Lake and lakehouse design patterns
- Background in distributed computing and Spark performance tuning
- Infrastructure as code and automated deployment practices
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.