Hybrid Data Science & Analytics Engineer

HarbourVest Partners; Greater London; Hybrid; GBP 85,000 - 130,000; Full time

Job summary

HarbourVest Partners in London seeks an experienced data/AI engineer to help transform data into analytics-ready assets. You will bridge data ingestion with modular analytics workflows, applying production-grade software practices across teams in a hybrid environment.

The role emphasizes Python development, Snowflake, Power BI, and modern DevOps, with a focus on scalable analytics, clear documentation, and practical business impact.

Qualifications

• 2–5 years in data science, software engineering, or related tech roles.
• Proficiency in Python and data-focused application development.
• Experience with cloud deployment, Git, and CI/CD pipelines is strongly preferred.

Responsibilities

• Productionise data science and AI prototypes into reliable, production-grade applications and services.
• Provide templates and safe pathways from prototype to production for business users.
• Collaborate with global Data Science and engineering teams to apply clean architecture, source control, and testing standards.
• Build and maintain clear user documentation, runbooks, and knowledge resources.
• Collaborate with technology teams to reduce operational support burden and amplify analytics impact.
• Provide EMEA time-zone support for data science, analytics engineering, deployment, and handoff.
• Modernise legacy analytics solutions into scalable patterns using Python and governed platforms.
• Maintain and enhance Power BI dashboards and recurring analytical workflows.

Skills

Python

Data science

BI tools

Snowflake

CI/CD

Git

DevOps

Education

Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field

Tools

Power BI

Snowflake

Job description

HarbourVest Partners in London seeks an experienced data/AI engineer to help transform data into analytics-ready assets. You will bridge data ingestion with modular analytics workflows, applying production-grade software practices across teams in a hybrid environment.

The role emphasizes Python development, Snowflake, Power BI, and modern DevOps, with a focus on scalable analytics, clear documentation, and practical business impact.