Senior Data Engineer at Keyrus leading the design, development, and delivery of scalable data platforms. Collaborating with teams to translate requirements into production - grade solutions and mentoring engineers.
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
Entry - level Data Engineer in Product Data Group at NGINX. Building scalable data pipelines and collaborating with engineers.
Senior Data Engineer for global payments platform designing ETL pipelines and data models. Collaborating across teams to tackle complex data challenges in an innovative fintech environment.
Data Engineer transforming data for analysis in an insurance company. Responsible for building data infrastructures and optimizing data delivery.
Senior Data Engineer for the MDM Data Product Team at Avenga. Responsible for provisioning data from master data customer and product systems.
Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
Data Engineer at PwC, engaging with Azure cloud services to enhance data handling and integrity. Responsibilities include pipeline optimizations, documentation, and collaboration with stakeholders.
Data Engineer Manager at PwC focusing on building data infrastructure and solutions. Leading data engineering projects to transform raw data into actionable insights and drive business growth.