Data Engineer, Software Engineer – Mid-level

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🕒 May 21

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Stonehaven Global Holdings (SHGH)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏛️ Government

🌍 Social Impact

B2B • Government • Social Impact

Stonehaven Global Holdings (SHGH) is a group of cross-border advisory firms that bring together strategy, communications, sustainability, economics, policy, and public affairs expertise. SHGH comprises Stonehaven (data & insight, policy, advocacy and communications), Robertsbridge (sustainability strategy and stakeholder engagement), and Public First (economics, policy and opinion research). The group advises global companies, governments, NGOs and institutions on navigating regulatory, political and sustainability transitions through research-driven strategy, stakeholder mediation, and public opinion testing.

📋 Description

• Help build and maintain reliable data pipelines using polling, economic, demographic, client and proprietary datasets • Design and implement data transformations, automations and workflows that improve the speed and quality of our work • Support the development of internal tools, apps and products used by consultants, analysts and clients • Work with data scientists, consultants and senior technical colleagues to turn analytical needs into robust technical solutions and simple front-ends • Help improve how data is stored, processed, documented and accessed across the business • Use Python, SQL, modern data libraries and AI-enabled development tools to build faster and more effectively • Support colleagues in using internal tools, data systems and AI workflows • Contribute to good engineering practices, including testing, documentation, version control and maintainable code

🎯 Requirements

• Around three years’ experience in a data engineering, software engineering, analytics engineering, research engineering or similar technical role • Strong Python skills and experience with modern data libraries • Good SQL skills and experience working with relational or analytical databases • Experience building pipelines, transformations, automations, APIs or internal tools • Comfort working across different technical tasks rather than being restricted to one narrow specialism • Ability to write clean, maintainable code and document technical work clearly • Interest in using AI tools to accelerate development, improve workflows and roll out new capabilities • Experience with polling, survey, economic, demographic or political data would be useful, but is not essential.

🏖️ Benefits

• 25 days annual holiday with additional office closure days • A discretionary annual bonus (potential of 15% of annual salary), based on personal and business performance • Enhanced company pension contribution of 5% of annual salary • Private healthcare cover, inclusive of dental and optical • An enhanced family leave package • Bike and Electric Vehicle salary sacrifice schemes • An employee assistance programme with 24/7 access to online, phone or face-to-face counselling