Junior Data Engineer
Summary
Builds and optimizes cloud-based data pipelines in Databricks and Azure, using Python, SQL, and Spark to process structured and unstructured data for global clients.
The person in this role will work with project teams developing a modern data platform in a cloud environment for global brands. They will work in an international environment,specializinginBI &Big Data cloud architecture and the latest technologies in that area,andpromote theprinciplesof theDataOpsmanifesto.
Warsaw Hybrid/Onsite
Requirements
Minimum 1 year of experience inData Engineering gained through projects or internships
FamiliaritywithDatabricks platform(DeltaLake,Workflows/Jobs,SparkDeclarative Pipelines,Unity Catalog)and Spark.
Strong experience with programmingin Python
Solid understanding of SQL and relational databases.
Knowledge of DataWarehousing, Business Intelligence and ETL/ELT data processing
Familiarity with Medallion Architecture
Very good knowledge of English (B2+) enabling work in an international environment
Proactive approach to tasks, problem-solvingattitudeand critical thinking skills.
Flexibility,independenceand responsibility for assigned tasks.
A constant desire to improve your skills and learnnew technologies.
Responsibilities
Design, build, and optimize scalable data pipelines in Databricks platform using SQL/Python/Spark.
Developing existing projects in the Microsoft Azure environment to gain valuable insights for the business.
Ensuring that data is modelled and processed according to the architecture and both functional and non-functional requirements.
Planning and implementing processing pipelines for structured and unstructured data (e.g.video and images).
Working to automate andoptimizeinternal processes in Azure.
Collaborating with cross-functional and international teams both internally and externally.
We offer
Global projects in clouds - We work with clients from all over the world based on modern cloud technologies
Certification reimbursement - Develop your skills and obtain certifications such as Microsoft, Amazon Web Services, Databricks, and ISTQB. We cover the cost of exams.
Time to learn - Take advantage of 60 paid hours per year for learning and use the Buddy Program, which supports you during your first months on the job.
Flexible approach - Connect studies with your career. Adjust your schedule to your needs thanks to flexible working hours.
Personalized benefits - Medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus