Technical Product Manager for Data Engineering at Betclic. Owning product roadmaps, driving data infrastructure evolution, and ensuring alignment across engineering teams.
About the role
- Data Engineer building and maintaining data pipelines and datasets for Smartly, a FinTech company facilitating payroll for Kiwi businesses.
Responsibilities
- Build, maintain, and enhance data pipelines using SQL and Python to ingest, transform, and serve data from core product systems and third-party sources.
- Develop and maintain well-modelled analytical datasets to support reporting, dashboards, experimentation, and data science use cases.
- Work closely with analysts and data scientists to understand data requirements and translate them into reliable, reusable data assets.
- Monitor data pipelines and datasets, identifying and resolving data quality or reliability issues.
- Contribute to data documentation, testing, and basic observability to improve trust and usability of data across the business.
- Support the ongoing improvement of Smartly’s data tooling, pipelines, and development practices.
- Operate comfortably within a cloud-based environment, with a working understanding of how data systems run in the cloud.
Requirements
- 3+ years’ experience in a data engineering, analytics engineering, or similar role.
- Strong SQL skills, with experience writing complex and performant queries.
- Strong Python skills, particularly for data transformation, automation, and pipeline development.
- Experience using Git or similar version control systems in a team environment.
- Familiarity with CI/CD practices, including automated testing and deployment workflows.
- Working knowledge of cloud infrastructure concepts (e.g. compute, storage, permissions), ideally within a modern cloud platform.
- Experience working with relational databases and analytical data stores.
- Familiarity with data modelling concepts for analytics (e.g. fact and dimension tables).
- Comfortable working hands-on and owning data tasks end-to-end with appropriate support.
- Able to collaborate effectively with analysts, data scientists, and software engineers.
- Curious and proactive, with a desire to improve data quality and engineering practices.
- Clear communicator, able to explain data issues and solutions to both technical and non-technical stakeholders.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer maturing strategic data assets and delivering business analytics in a regulated financial environment. Collaborating with stakeholders to advance business data strategy on cloud platforms.
Staff Data Engineer leading scalable data solutions for analytics and reporting at Asurion. Designing data pipelines and ensuring data quality across cloud platforms.
Lead Architect at Travelers shaping enterprise database and data platform solutions. Collaborating across technology and business units to drive digital transformation and modernization efforts.
Senior Data Engineer at Porto Bank responsible for developing robust data architecture and ensuring data quality across teams. Collaborating with various data solutions for effective data management.
Data Engineer II at Dun & Bradstreet collaborating with teams to enhance data quality standards and practices. Driving best - in - class data management across diverse disciplines.
Senior Data Engineer at NVIDIA developing and optimizing database architectures while collaborating across software and hardware teams. Focus on data - driven systems in data center environments for complex networking verification.
Senior Data Engineer building reliable data infrastructure for AI - powered health experiences. Collaborating on data pipelines and ensuring data quality in a hybrid work environment.
Manager overseeing HR technology and data architecture operations enabling HR strategy effectiveness at Healthfirst. Leading a team of analysts for data integrity and operational support across systems.
Distinguished Data Engineer in data pipelines driving innovation in AWS. A hands - on technical leader delivering next - gen data solutions across Capital One's lines of business.