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Iida
26 days ago
Grade
Senior
Experience
from 5 years
Work format
Remote, Onsite
An email or a Telegram message to the recruiter
At ida, you will be the first point of contact for all data-related issues. Your scope will cover everything from real-time election results and BI solutions for newsrooms to metadata that makes content discoverable and AI-ready.
You will develop and build robust, high-performance data architectures. You will manage the entire process: from connecting the most diverse sources, transformation and modeling to providing data for applications, dashboards, and analytics.
In doing so, you will work closely with other developers and product teams to integrate data-driven features and contribute to technical concepts and effort estimations.
What can be automated, you will automate: data import, deployment, quality checks, alerts — because for you, manual operations are primarily a sign that there are opportunities for improvement.
You will, of course, not keep your knowledge to yourself: through code reviews, pair programming, and open dialogue, you will support your colleagues, helping them to improve.
You will stay on top of AI developments, continuously improve your skills, and use your knowledge as a consultant — both within the team and on equal footing with our clients.
Particularly pleasing: at ida, you have the opportunity to make a significant contribution to the development and improvement of public broadcasting services, among other things.
You have at least five years of practical experience in Data Engineering, and you have not only built but also designed and been responsible for data platforms.
Technologies are not an ivory tower for you: therefore, you translate complex data and architecture-related issues into clear language and make them understandable — for our cross-functional teams and our clients.
You are fluent in Python and SQL. Pandas, PostgreSQL, and Docker are also a given in your toolkit.
You are at home on Google Cloud Platform: Cloud Run, Pub/Sub, Scheduler, Cloud Storage, Cloud SQL — you know them all. Therefore, you also understand which screws need to be tightened to optimize performance and costs. Have you mainly worked with AWS or Azure so far? No problem: good architecture works everywhere. This is not an obstacle.
But for you, automation is not an add-on, but a fundamental principle: orchestrated pipelines, automated tests for data transformation and quality, as well as linting and formatting are a matter of course.
In addition, you can reasonably assess technological trends, distinguish hype from real benefits, and easily integrate AI-based workflows and AI agents into your daily development workflow.
And you know what would be fantastic? If you also have experience developing APIs via FastAPI. If you are also familiar with orchestration via Apache Airflow or have already integrated AI models into data processing pipelines (e.g., via Vertex AI), that would be even better.
And if you have also gained experience in a digital agency and/or media company, then that would, of course, be more than outstanding.
We strive for diversity. Therefore, we particularly encourage FLINTA*, BIPoC, LGBTQIA+ individuals, and people with disabilities to apply to ida. We have listed some requirements here, but you don't meet all of them? No problem. We are waiting for you.
Perhaps even more pleasing: at ida, you can work in a way that is most comfortable for you and suits your lifestyle. Windows or Mac? Remote or in the office? You decide.
At ida, you will be the first point of contact for all data-related issues. Your scope will cover everything from real-time election results and BI solutions for newsrooms to metadata that makes content discoverable and AI-ready.
You will develop and build robust, high-performance data architectures. You will manage the entire process: from connecting the most diverse sources, transformation and modeling to providing data for applications, dashboards, and analytics.
In doing so, you will work closely with other developers and product teams to integrate data-driven features and contribute to technical concepts and effort estimations.
What can be automated, you will automate: data import, deployment, quality checks, alerts — because for you, manual operations are primarily a sign that there are opportunities for improvement.
You will, of course, not keep your knowledge to yourself: through code reviews, pair programming, and open dialogue, you will support your colleagues, helping them to improve.
You will stay on top of AI developments, continuously improve your skills, and use your knowledge as a consultant — both within the team and on equal footing with our clients.
Particularly pleasing: at ida, you have the opportunity to make a significant contribution to the development and improvement of public broadcasting services, among other things.
Perhaps even more pleasing: at ida, you can work in a way that is most comfortable for you and suits your lifestyle. Windows or Mac? Remote or in the office? You decide.
You have at least five years of practical experience in Data Engineering, and you have not only built but also designed and been responsible for data platforms.
Technologies are not an ivory tower for you: therefore, you translate complex data and architecture-related issues into clear language and make them understandable — for our cross-functional teams and our clients.
You are fluent in Python and SQL. Pandas, PostgreSQL, and Docker are also a given in your toolkit.
You are at home on Google Cloud Platform: Cloud Run, Pub/Sub, Scheduler, Cloud Storage, Cloud SQL — you know them all. Therefore, you also understand which screws need to be tightened to optimize performance and costs. Have you mainly worked with AWS or Azure so far? No problem: good architecture works everywhere. This is not an obstacle.
But for you, automation is not an add-on, but a fundamental principle: orchestrated pipelines, automated tests for data transformation and quality, as well as linting and formatting are a matter of course.
In addition, you can reasonably assess technological trends, distinguish hype from real benefits, and easily integrate AI-based workflows and AI agents into your daily development workflow.
And you know what would be fantastic? If you also have experience developing APIs via FastAPI. If you are also familiar with orchestration via Apache Airflow or have already integrated AI models into data processing pipelines (e.g., via Vertex AI), that would be even better.
And if you have also gained experience in a digital agency and/or media company, then that would, of course, be more than outstanding.
We strive for diversity. Therefore, we particularly encourage FLINTA*, BIPoC, LGBTQIA+ individuals, and people with disabilities to apply to ida. We have listed some requirements here, but you don't meet all of them? No problem. We are waiting for you.
Do you think this could be a good fit? Then let's talk! Send your application with your CV, earliest possible start date, and salary expectations directly to us via our application form.
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