We're looking for a Data Engineer with experience in Python and Data processing to join our team at Vizzuality. Depending on your experience, we can offer a salary range of €24,000 - €33,000. We are also open to exploring full-time and part-time contract options (with a minimum of 80% time dedication).
Our vibrant team is spread across Spain, Portugal, and the UK. Currently, people work remotely or in our office in Madrid. You are welcome to join us if you are eligible to work in any of these three countries.
Would you like to be part of Vizzuality's story?
Are you motivated by the desire to impact the planet positively? Are you looking to put your skills to work on something truly meaningful?
At Vizzuality, we aim to reach a fair and sustainable planet by creating tools that empower people to make positive changes.
We are a world-leading technology, design, and science agency. We design and develop data-driven tools and applications for international organizations focusing on Climate Change, Biodiversity, and Inequality.
Solving such large and complex problems will bring you into contact with new technology and some of the world's most interesting organizations and academics in machine learning, remote sensing, and planetary data. You'll be working on projects like these:
https://www.globalforestwatch.org
https://www.landgriffon.com
https://marxanplanning.org
https://www.globalmangrovewatch.org
https://30x30.skytruth.org
Our Culture
Our aim is to help the world become a better place. Therefore, we need to make sure we care about our people and give them the power to build great things. These are some of the principles that define our culture:
- We Trust: Our team structure relies on self-organization. We want to work with colleagues who don't have to look 'up' for approval, nor look 'down' and give instructions. As soon as you step inside, we will equip you with all the tools to enable your success, and then we will trust you to do great things.
- We Delight: We use our deep understanding of people's needs to spark delight. Our choices are based on science, research, and design principles.
- We Care: For ourselves, our colleagues, and the organization. We know what we do is important, and we have a strong sense of responsibility for the work we do.
- We Grow: As we are always embarking on new projects and challenges, a continuous learning mindset and a 'Can Do' attitude is a must. We are conscientious, and we focus on learning and achieving our goals. We give power to people so they can make decisions and plot their paths with help from all around them.
- We have fun: We also know that you need to balance seriousness with fun. If you can make people smile, you will be off to a great start!
Want to know more about our culture? Check our Playbook https://playbook.vizzuality.com/
A Day in the Life of a Data Engineer at Vizzuality
We’re looking for someone to work alongside a world-class and super-talented team of engineers, designers, researchers, scientists, and project managers. Someone passionate about using their knowledge, creativity, and specialized skills to make products that encourage positive social change.
You will use your background knowledge and programming/analytical skills to solve problems across numerous projects involving resource management, supply-chain transparency, and decision-making tools based on datasets and GIS. You will also be working at the interface of supply-chain issues and other critical global issues around the loss of biodiversity, and the Climate Crisis.
More specifically, these are some of the things you will achieve in your first year at Vizzuality:
During the initial months, you will be onboarding to the team and the company:
- You’ll be shadowing some of our scientists/data engineers and/or back-end engineers closely for you to learn, get support, and get familiarised with the way of doing things at Vizzuality.
- You’ll get used to much of the lifecycle of a project.
- You’ll have time to learn the various software systems we use for managing people, tasks, and projects and contribute to project meetings.
- You’ll get to know people from other functional teams: research, design, front-end, back-end, and business development, and understand how our role interfaces with theirs.
- You will share ideas and collaborate closely with team members.
- You will participate in data discovery, creating prototypes to demonstrate/document concepts.
By the end of the first year you will be making a real impact:
- You will be working as scientist/data-engineer on high-profile projects.
- You will work closely with Engineers, Designers, User Researchers, Project Managers, and external partners or clients from the start of the project lifecycle until the end.
- You will come up with innovative solutions based on data to solve exciting problems and build tools for decision-making.
- You wil learn and grow your skills to work on data pipeline problems that arise on projects.
- You will perform statistical analyses and visualize geospatial data.
- You will create charts and interactive graphics to make complex datasets understandable and support the creation of high-impact data visualizations from your prototypes.
- Depending on your interests, you may start communicating your work to external audiences through various formats including blogs, conference presentations, and more.
Skills and experiences we are looking for in a candidate
(*) Even if you think you don't tick all the boxes below, we'd still love to hear from you. Nobody checks every box, and we are looking for someone excited to join the team and aligned with our purpose!
Must Have.
- Basic knowledge of Python and programming.
- Some experience with data processing focused on geospatial (geopandas, rasterio, gdal)
- Ability to communicate clearly and efficiently in English.
- Experience collaborating with diverse teams.
- Open to giving, receiving, and acting upon feedback.
Nice to have.
For more experienced profiles, and in addition to the above-described must-have skills, it would be great to know if you can add value in all/some of the following areas:
- Build automated tools to process data (ETL)
- SQL (preferably PostgreSQL)
- Relational databases
- Cloud computing and storage platforms
- REST APIs
- Knowledge of computing fundamentals (e.g. memory, algorithms) and the web (e.g. API requests, etc.)
- Scientific or engineering background (Earth systems, climate, ecology, geography, remote sensing, supply chain, machine learning, computer science, applied science in NGOs)
Over time, we'd like the person in this role to take on more responsibilities. If you would like to learn and grow in any of the following areas (or have experience), we would love to hear more about them: version control (Git), GIS and web mapping tools (QGIS, Google Earth Engine, Mapbox, etc.), and Data visualization principles.
