6 months ago
London, United KingdomSenior
Responsibilities
- Own analytics engineering relationships and roadmaps for one or more business areas.
- Translate stakeholder priorities into a prioritized programme of work.
- Develop clean, tested, documented, and reusable datasets for analyst-led analysis, stakeholder self-service, and agentic data analysis.
- Build Python packages and AI-embedded workflows using LangGraph.
- Apply software engineering practices including testing, code review, containerization, Linux tooling, and continuous improvement of technology choices.
- Collaborate with data analysts and business stakeholders while advocating best practices in data modeling, engineering, and self-service analytics.
Requirements
- Experience in analytics engineering, data engineering, or a similar role, combining technical ability with business acumen.
- Strong data transformation skills using Python and SQL.
- Hands-on experience with modern code-based transformation and ingestion frameworks such as dbt Core and dlt.
- Fluency in software engineering environments involving Docker or Kubernetes, Linux, version control, and DataOps.
- Practical use of AI tools in day-to-day work, ideally including experience building AI workflows or applications.
- Proven ability to independently own end-to-end delivery, including stakeholder scoping, design, delivery, and support.
- Excellent interpersonal and communication skills, including the ability to build trusted relationships with senior stakeholders.
- An innovative mindset and commitment to continuous improvement.
Benefits
- Highly competitive compensation plus an annual discretionary bonus.
- Lunch provided via Just Eat for Business and a dedicated barista bar.
- 30 days of annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle-to-work scheme.
- Monthly company events.
- Inclusive work environment with accommodations available for applicants with disabilities or special needs.
Tech Stack
Categories
Data Engineering
About G-Re
G-Research is a London-based quantitative research and technology firm that develops models, data pipelines, and trading systems to forecast movements in global financial markets. It employs researchers and software engineers to build machine-learning-driven strategies and the infrastructure that supports systematic investing, spanning high-performance compute and secure networks. Privately held and founded in 2001, the company operates from its London headquarters and focuses on institutional, data-intensive finance.