We are seeking a motivated Data Engineer to streamline our data management and development to build complex and data-driven experiences. You will play a crucial role in our project teams, ensuring an efficient collection, flow and transformation of data, ultimately contributing to the creation of impactful data visualizations and product strategy.
Apply and let us know what you’ll bring to this role.
CLEVER°FRANKE is an enthusiastic, multi-disciplinary team of 40+ people with 12+ nationalities from across the world. We are interaction designers, developers, project managers, data analysts, and others. All with a passion for what we do. We are curious about the world around us and apply the same curiosity to our work and projects.
At CLEVER°FRANKE we’re experts at creating data driven solutions, such as dashboards, microsites and physical installations; and data is at the core of all of them. As a Data Engineer you’ll be working with designers, developers and other data experts to make the most of our projects using data as building blocks.
In a project like “Voices from the Frontlines” your work entails building pipelines that transform data from tabular and geospatial datasets, in order to generate visualizations and maps using Python and QGIS. Additionally, you’ll be in charge of producing the vector tilesets to import in Mapbox, which builds a spatial data portal. In other projects, you may need to retrieve data from a client database, or connect to an existing API. Sometimes you will build a tailored database for data processing and transformation, and provide connections for our development team to generate data-driven animations. We encourage you to suggest solutions that will help our team and partners in building robust and efficient experiences.
Being able to collaborate well with others is important to us, with the project team as well as with the clients and their teams. In addition, you will focus on understanding the data needs of a project, both from a visual and implementation perspective. You make sure that the data arrives in the right format to safeguard qualitative and truthful implementation. At times, this includes building data extractions, transformations, and loading pipelines.
Our approach to data is flexible and adapted to the project’s characteristics. This means that data can be delivered to us as files, available on cloud storage systems, in private or public databases, or accessible through APIs. You will be building and maintaining simple databases or interacting with existing ones. Finding (and working with) external, publicly available open source data is often part of our work.
Quality, reproducibility, accuracy, and security are core values of our data work. Your contributions on ensuring and improving our methods regarding these will always be appreciated.
WE'LL WELCOME YOU
You’re welcome at CLEVER°FRANKE regardless of your appearance, identity or background. It’s not a place you have to 'fit in' but somewhere everyone can feel themselves and be their best to do their best.
Studies suggest that women, and others, tend to hesitate to apply for a job if their CV isn’t a perfect fit. Here, we look for talent and potential — not just formal experience and expertise. So if you like the role and think you could be awesome at it, go ahead and apply.
WE’LL GIVE YOU:
WE'LL SUPPORT YOU
We find it important that you grow and challenge yourself and want to ensure that you are supported in this. We offer training courses tailored to your experience level and needs, personal development planning and feedback, and an HR coach. About 3 times a year, we organize a CLEVER°FRANKE Development week where the entire studio fully focuses on personal and professional growth, outside of client projects.
WHAT YOU BRING:
You have at least 2 years of experience with data engineering. You’re able to build and maintain data infrastructure and data pipelines. You’re comfortable working with Python and maintaining databases. You have SQL & data profiling skills and use these to conduct insightful data analyses. You have experience with API design and/or data mocking and are familiar with cloud services and GIT Version control.
You have a keen interest in data visualization, data-driven working and product development. You have a methodical approach to your work and attention to detail, and you take initiative and ownership of your domain. You actively suggest and implement project-specific solutions for data management, workflow and processes.
WOULD YOU LIKE TO JOIN US?
Hit the button below! Send us your CV and we'll ask you some questions to get to know you a little better.
If you successfully pass through our screening, we’ll invite you to the interview process, which entails three further conversations to ensure you get to know our culture and the role better, and to identify whether there is a fit from both of our sides.
Please contact Charlene Benjamins(preferably via e-mail): email@example.com for more information about this job opening
Acquisition based on this job opening is not appreciated