Looking to take the next step in your IT or Telecommunications career?
Then you've come to the right place – welcome to Smart!
Technology, transformation, and innovation are part of our DNA.
We're a technology consulting company with over a decade of experience delivering national and international IT and Telecommunications projects – and we want to be part of your journey.What do you need to become a SMART Data Engineer (PySpark & Databricks)?
Degree in Computer Engineering, Information Systems, or a related fieldStrong proficiency in Python and SQLHands-on experience in building and deploying PySpark pipelines in production environmentsSolid and practical background in Databricks (a key requirement)Familiarity with cloud platforms such as Azure, AWS, or GCPConfidence working with large datasets and modern data pipelinesExcellent communication skills and the ability to clearly explain complex conceptsFull-time availability and residency in the European UnionSenior-level profile with autonomy and critical thinkingWhat will your responsibilities be at SMART?
Design, build, and maintain scalable and efficient data pipelines using PySpark and DatabricksCollaborate with Data Science and Engineering teams to ensure data quality and performanceContribute to the design and implementation of solutions in cloud environmentsAnalyze and optimize data ingestion, transformation, and delivery processesFollow best practices for version control, testing, and continuous deploymentWhy choose SMART?
We bring projects to life.We love what we do and take pride in the results we deliver.We are efficient and straightforward.We value our people.We're a dynamic, trustworthy, and committed team.