Senior Data Engineer

Climate X

Climate X

Data Science
London, UK
Posted on Monday, April 22, 2024

About Us

Climate X is a purpose-driven climate adaptation data company set to revolutionise how the world manages assets, property, and infrastructure.

We apply cutting-edge, peer-reviewed science to help prevent the worst impacts of climate change. We combine climate projections, remote sensing observations, and modelling to project the frequency and severity of physical climate risks such as floods, subsidence, storms, etc.

Our SaaS platform lets finanial institutions and real estate firms look at future climate pathways to:

  • help identify how property/company assets could be damaged by severe weather events and
  • what that damage might do to the asset valuations.
  • become more resilient to climate change and make smarter investment and lending decisions.

We advocate diversity with our founders, team, and investors from various backgrounds.
We’re not building just a team but a place of innovation where problem solving, and fun coexist to address the most significant challenge our society is facing now.

The impact you’ll own

As Senior Data Engineer, you will play a pivotal role in shaping our data engineering function for our innovative climate tech SaaS product. You will work with a diverse array of data sources, leveraging your expertise to clean, transform, and make sense of complex datasets.

Your responsibilities will include implementing a robust tool stack and establishing a cutting-edge data engineering function, all within a cloud-based environment. Proficiency in Python and AWS is essential, as you will utilize these technologies extensively to architect scalable and efficient data solutions.

Additionally, you will be tasked with evaluating and selecting the most suitable tooling for our product, considering factors such as cost-effectiveness and performance optimization.

Essential Skills

  • Strong understanding of a variety of data engineering tooling with ability to determine and implement an appropriate stack.
  • Strong experience working with our existing technologies (Python, AWS, Bash, Postgres).
  • Excellent communication skills with ability to work cross-functionally with Technology, Science and Product.
  • Strong hands-on data engineering experience, including data modelling, data warehousing, building ETL pipelines, and designing efficient database schemas.

Desirable Skills

  • Expertise in big data technologies such as Hadoop, Spark, or distributed computing frameworks
  • Knowledge of data governance, data quality, and data security best practices
  • Experience working with both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Proficiency in using data visualization tools and libraries (e.g., Tableau, Matplotlib, Seaborn)
  • Strong problem-solving and analytical skills, with the ability to troubleshoot complex data-related issues

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.