Geospatial Data Engineer
Geospatial Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
About Us
We are a climate analytics nonprofit established in 2021. We provide system modelling data software and analysis to support energy transition planning and decisionmaking. We are grantfunded by the Quadrature Climate Foundation Google Sequoia Climate Foundation Bloomberg Philanthropies European Climate Foundation among others. Our data software and analysis is used by developers financiers planners and think tanks internationally.
At TransitionZero we understand that diversity is an essential component of a successful team whether that be diverse ways of thinking personal or professional backgrounds and skills. We aim to be the most talented nonprofit in our vertical spearheading innovative data solutions through our culture of inclusivity and adaptability. Now we are looking for an experienced Research Analyst.
Our people are our greatest asset and the diverse experience skills and perspectives individuals bring to our organisation are the driving force of our success. We will therefore consider all qualified applicants in the recruitment process as we welcome all the unique qualities and experiences that make you you.
About the Role
Heavy industry activity contributes around a quarter of global anthropogenic emissions yet unlike the power sector data remains sparse and inaccurate. TransitionZero is attempting to address this problem as a member of Climate TRACE a coalition of nonprofits founded by former U.S. Vice President Al Gore which offers a global independent inventory of greenhouse gas emissions. We use earth observation methods to estimate productivity and emissions from heavy industry facilities in regions where data is unavailable untimely or unreliable. TransitionZero has been a core member of Climate TRACE since its inception in 2021 providing emissions estimates for the steel cement aluminium pulp & paper and chemicals subsectors.
We are looking for a Data Engineer to develop our remote sensing tooling as well as assist with an exciting new project exploring potential pathways to reduce steel industry emissions using an opensource energy system modelling package. You will design develop maintain test and optimise scalable data pipelines to populate our Data Warehouse with model data. As you will be working closely with remote sensing data and pipelines prior experience of geospatial technologies is highly beneficial in addition to cloudbased architecture (our tools are deployed in GCP) and github version control. You will work with data across all of the listed sectors with a particular focus on steel and cement.
The successful candidate will work in collaboration with members of the Data Software and Analysis teams under the supervision of the grant lead.
Responsibilities
The responsibilities of the successful candidate will include:
Process clean and integrate remote sensing data into our Data Warehouse
Design develop and maintain nongeospatial data pipelines (geospatial and nongeospatial e.g. heavy industry demand projections production capacity emissions factors technology costs raw material supply sources commodity prices etc.
Work with GIS technologies to analyse and visualise geospatial data.
Deploy automated solutions on Google Cloud Platform
Ensure data quality while handling largescale (geospatial) datasets by engineering a suite of validation checks and analysis tooling on our outputs
Optimize performance of spatial queries and GIS services for realtime and batch processing applications
Productionise geospatial visualisation tooling for use in externalfocussed communications
Prepare monthly data releases
About You
You are a Pythonbased data engineer with a particular interest in geospatial data/tooling and a passion for the energy transition. You are interested in using your development skills to design and build an infrastructure to improve global heavy industry data. You are curious and open to learning domain knowledge about heavy industry subsectors and the wider energy system. You take a collaborative approach to your work make time for others and promote a noblame culture when things break. You take pride in writing clean welltested code and documenting and sharing your work with others. You are interested in continued learning and growth are open to asking questions and will bring your ideas to our company.
We welcome people with a proven ability to juggle multiple projects at a time and to collaborate across teams some of whom are based outside of the UK.
While we are a rapidly growing tech startup we are also a nonprofit so a high level of adaptability and willingness to approach challenges with creativity and curiosity is essential.
Skills & Experience
Essential:
Interest in geospatial data processing packages and software
Degreelevel qualifications in software engineering or STEM field (or equivalent professional experience) with up to 3 years of software development experience
Experience with Pythonbased development including scripting data retrieval and data manipulation (Pandas Numpy etc.
Experience with SQL (for interacting with our Data Warehouse in BigQuery)
Experience with containerisation (e.g. Docker) and pipeline orchestration (e.g. Airflow GCP Batch/Jobs)
Experience with Githubbased version control
Attention to detail for writing clean welldocumented welltested code
Collaborative team player with good communication skills (we work in Agile)
Proactivity and ability to selforganise and think outside the box
An interest in sustainability and a desire to work in a startup environment
Wed love to see:
Experience using GIS or other geospatial data processing packages and software
Domainrelevant knowledge postgraduate education and/or experience e.g. energy systems engineering earth observation environmental science meteorology climate science material science mining industry decarbonisation
Experience with CloudOps serverless deployment and continuous integration/deployment
Data modelling data architecture schema design
Experience using Google Cloud Platform (e.g. BigQuery DataFlow CloudBuild CloudRun)
Experience with scientific computing (e.g. machine learning numerical optimisation)
Salary & Benefits
Competitive salary based on experience
Enhanced pension scheme 5 employer contribution)
25 days annual leave (excluding UK public holidays) and an additional day off on your birthday
20 days annual allowance to work from anywhere in the world
Hybrid working and core working hours model
Allowance to set up your home office
Annual budget and dedicated leave time for relevant training courses
Enhanced genderneutral parental leave 4 months full paid)
Private healthcare following successful completion of the probation period
Yearly team offsite
Our Commitment to Diversity Equity & Inclusion
If you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation please contact our People team for an informal chat. We will make every effort to respond to your request for assistance as soon as possible.
Application Process
About us
Employment Type
Full-Time
