DataOps and Platform Engineer (m/f/d)
DataOps and Platform Engineer (m/f/d)
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
At Future Demand we build an Audience Intelligence platform that helps our users to see what their customers really want auto-build high-converting audiences and ads and let AI optimise those campaigns.
To expand our product team we are looking to hire a mid- to senior-level DataOps & Platform Engineer with a lean and agile mindset. You will join our engineering team and help develop and maintain the data infrastructure and pipelines that connect our customers data to insights generated by our data science and machine learning services. Join our international team and drive how campaigns are done in an AI-first world.
Tasks
Your Tasks
Own and evolve our data platform: Design build and maintain scalable data pipelines and ETL workflows (e.g. using Apache Airflow) to ensure timely accurate data delivery across our products.
- Cloud infrastructure management: Manage and automate our AWS cloud infrastructure (with a focus on containerized services on ECS) using Infrastructure as Code (Terraform) ensuring a reliable and scalable platform .
- Cross-functional collaboration: Collaborate with data scientists software engineers and product stakeholders to design and implement new data-driven features and improvements .
- Model deployment: Work closely with the data science team to deploy machine learning models into production integrating them into our data pipelines and ensuring smooth operation in our platform .
- CI/CD and automation: Implement and refine CI/CD pipelines for our data workflows including containerization (Docker) and automated testing to enable rapid and safe deployments of pipeline changes .
- Monitoring and optimization: Continuously monitor pipeline performance and data quality. Troubleshoot issues proactively and optimize systems for efficiency scalability and reliability.
Requirements
Your Profile
Experience: 3 years of experience in data engineering DevOps or a related role (mid- to senior-level). You have managed production data pipelines or platforms before.
- Programming & databases: Proficiency in Python for scripting/automation and strong SQL skills for data transformation. Hands-on experience working with databases like PostgreSQL.
- Cloud & Infrastructure as Code: Solid experience with cloud infrastructure (ideally AWS) . You have worked with Infrastructure as Code tools (e.g. Terraform) to provision and manage resources .
- Data pipelines: Practical experience building or orchestrating data pipelines preferably with frameworks like Apache Airflow or similar workflow managers. You understand scheduling monitoring and dependency management in data processes.
- CI/CD & Containerization: Familiarity with continuous integration/continuous delivery practices and containerization (Docker) for deploying data services.
- Agile mindset & communication: A lean agile approach to problem-solving and automation. Excellent communication skills with the ability to explain complex concepts in simple terms and collaborate effectively in a cross-functional team .
Benefits
We offer an exciting environment at the interface between IT and live entertainment and sports as part of an ambitious international and results-orientated team in a young start-up.
- You work with an excellent international team with varied tasks with a wide range of great opportunities
- An attractive and competitive salary
- Monthly learning budget
- Urban Sports Club membership support
- Support for your favourite means of transport - we help finance your new bike or your public transport subscription
- We are a startup in one of the cultural hubs in Berlin youll never get bored
- We love live events and if you do too then you are certainly going to enjoy our regular team events!
Employment Type
Full Time
