Senior DataOps Engineer (m/f/d)
Design and optimize scalable data pipelines and cloud-native architectures that support Data & AI initiatives, collaborating across teams to deliver secure, high-performing data solutions.
๐ Weโre Growing Our Data Dream Team!
Titles? Meh, weโre not big on them, but letโs call this one Data Engineer / Architect ๐
As part of our international Data squad, youโll craft tailor-made solutions that wow our clients. Weโre hunting for a passionate Data Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action โ and thatโs just the beginning.
Hereโs the deal:
Ready to take on projects that matter, with a team thatโs as passionate as you are? Letโs make it happen! ๐
You will be responsible for:
Requirements
Benefits
Will you let us know you better?
The selection process: Simple, just 3 steps.
What is Plain Concepts?
Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cuttingedge projects around the world.
We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training.
Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.
What we do at Plain Concepts?
We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training.
Want to learn more?
Check out our website! โก https://www.plainconcepts.com/
At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.
Design and optimize scalable data pipelines and cloud-native architectures that support Data & AI initiatives, collaborating across teams to deliver secure, high-performing data solutions.
Constrรณi e evolui arquiteturas de dados escalรกveis, define padrรตes tรฉcnicos e otimiza pipelines e processos de ETL/ELT, garantindo qualidade, governanรงa e seguranรงa em ambientes complexos de dados.
Designs and operates reliable data pipelines and models that power customer-facing application features and shared analytics, partnering with engineering and product teams to deliver secure, accurate, accessible data.
Own the architecture, ingestion, transformation, and production operations of a multi-source data platform, delivering reliable company intelligence through event-driven processing and orchestrated workflows.
Own the data platform end to end, designing and operating ingestion, event-driven processing, orchestration, and transformation systems that deliver reliable, current data to downstream products.