Data platform engineer for biodiversity research

We are looking for an experienced Senior Data Platform Engineer to join a collaborative, cross-disciplinary team delivering the Museum’s flagship biodiversity data platform, the Data Ecosystem. The Data Ecosystem is the Museum’s strategic collaboration with AWS, bringing together biodiversity data from sources including acoustic sensors, camera traps, ecological surveys and community science programmes. The platform enables scientists, researchers and conservation practitioners to manage, enrich and analyse connected datasets at scale.

• You’ll play a leading role in delivering key roadmap initiatives, including onboarding new data sources, evolving core platform architecture, applying AI to data verification workflows, and improving data governance and user capabilities.
• You’ll lead the design and delivery of data engineering solutions within a cross-functional agile team, working closely with Product, Engineering and Science teams to translate user needs into technical solutions and working iteratively to deliver value.
• In this role, you’ll build and maintain scalable data pipelines for biodiversity and environmental data sources, and design and evolve data models and services to improve data quality, governance, usability and scalability.
• You’ll deliver robust, scalable services using AWS and modern cloud engineering practices, deploying and managing cloud infrastructure with DevOps best practices.
• You’ll also support platform modernisation and cloud migration initiatives, and monitor, maintain and continuously improve platform performance and reliability.

• You have senior-level experience delivering complex data engineering or platform engineering solutions, and you’re comfortable working in a product-focused, collaborative environment alongside Product Managers and stakeholders.
• You have strong experience building cloud-based data platforms, preferably within AWS, and strong software engineering skills in Python, Java or similar languages.
• You’ve designed and operated ETL/ELT pipelines and integrated data from multiple sources, and you have a solid understanding of data modelling, data quality, metadata and data governance.
• You also have experience using Infrastructure as Code tools such as Terraform, and you’re comfortable with modern DevOps practices, including containerisation and CI/CD.
• Будет плюсом: While not essential, it would be great if you also have experience delivering AI or machine learning-enabled solutions, or working with scientific, environmental or biodiversity data; An interest in biodiversity, conservation or natural science would also be welcome

• Please note, this is a fixed term contract until 31 March 2028.
• 27.5 days holiday plus 8 bank holidays (full time equivalent)
• Generous defined contribution Natural History Museum Pension Scheme (employer contribution 4 - 10%)
• Season ticket, bicycle and rental loan
• Life insurance
• Free admission to our exhibitions and many other paid exhibitions at museums, galleries and institutions across London and the UK.
• Staff discount at our Museum shops and cafes
• We offer a wide variety of training initiatives and opportunities to build skills. Investing in staff development is important to us, and we are ambitious about helping staff to grow and fulfil their potential.
• Affordable membership to the Civil Service Sports Council which offers a range of benefits including an extensive list of special offers and reduced entry fees at a selection of cinema chains, theme parks, theatres, retailers and supermarkets. It also provides entry to up to 300 English Heritage sites and other national treasures.
• Membership to our Sports and Social Association (for a small fee), which includes access to our in-house gym and clubs such as football, softball, table tennis and tennis and classes in Middle Eastern dance, yoga and Tai Chi
• The Museum supports a hybrid work model, combining work-from-home with on-site activities each week, as arranged by each functional team.