Senior Data Engineer

9 days ago
Full time role
Hybrid · London, England, GB... more

Senior Data Engineer

About Us

Climate X is a purpose-driven climate adaptation data company revolutionising how the world manages assets, property, and infrastructure. Our SaaS platform, Spectra, helps financial institutions and real estate firms assess future climate risks and their impact on asset valuations. We combine cutting-edge climate projections, remote sensing, and modelling to project the frequency and severity of physical climate risks.

We have recently secured a Series A funding round led by Google Ventures, positioning us for significant growth and innovation in the climate tech space.

The Impact You’ll Own

As Senior Data Engineer, you’ll play a pivotal role in shaping our data engineering function for Spectra and Carta, our innovative climate tech products. You’ll work with diverse, large-scale datasets and build robust, scalable data pipelines to support our analytics and risk assessment capabilities.

Key responsibilities:

  • Design and implement scalable, high-performance data processing pipelines
  • Develop and maintain cloud-based data infrastructure on AWS
  • Architect efficient database schemas for storing and querying large volumes of geospatial and time-series data
  • Optimise data processing to handle large-scale analyses across multiple data sources
  • Collaborate with cross-functional teams to integrate data systems and support product development
  • Evaluate and implement appropriate data engineering tools and technologies
  • Lead the integration of Spectra and Carta, our core products, to enhance our overall data capabilities and product offerings

Essential Skills

  • Strong experience in building and maintaining large-scale data processing systems
  • Extensive experience with Python, AWS, Bash, and PostgreSQL in a cloud-based environment
  • Proficiency in big data technologies such as Hadoop, Spark, or similar distributed computing frameworks
  • Experience with high-performance computing (HPC) for processing and analysing large datasets
  • Solid understanding of data modelling, data warehousing, and ETL processes
  • Expertise in optimizing database performance and query efficiency
  • Strong problem-solving skills and ability to troubleshoot complex data-related issues
  • Excellent communication skills with ability to work cross-functionally with Technology, Science, and Product teams

Desirable Skills

  • Experience working with geospatial data and related processing tools
  • Familiarity with time-series data analysis and forecasting techniques
  • Knowledge of data governance, data quality, and data security best practices
  • Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink)
  • Proficiency in using data visualisation tools for large datasets (e.g., Tableau, PowerBI)
  • Understanding of DevOps practices and CI/CD pipelines
  • Basic knowledge of climate models, risk assessment methodologies, or financial modelling (bonus)

Benefits

🌍 Contribute to a business making purposeful impact related to climate change

💡 Monthly training & conference budget to help you upskill and develop your career (£1,000 per year)

📈 6 monthly appraisals and 12 monthly pay reviews

💰 Pension contribution scheme

🏡 Flexible hours and hybrid working (3 days/week in office; core hours 10am-4pm)

🏥 Mental Health and Wellbeing support via Oliva

🏖 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday (36.5 days total!)

💚 Opportunity to work on social impact & pro bono strategy projects

🏏 Optional quarterly socials, dinners, and fun nights out

🥐 A fully stocked supply of snacks, fruit, and refreshments for the days when you are in the office

 

Equal Opportunities

Climate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.