Senior Data Engineer (Databricks & Azure)
Role details
Job location
Tech stack
Job description
With 1,000+ professionals and over a decade of experience, we have built an environment where talent is trusted, supported, and continuously challenged to grow.?? People First: trust, respect, and professional development?? 13% turnover rate, well below market average?? Cutting-edge IT projects with global clients and modern technologies?? Personalized training: up to €****/year?? Real flexibility to work in your own way?? Monthly follow-up & 360o evaluation?? Private health insurance + flexible compensation + Wellhub?? Active tech communities to learn and share?? And yes... we also know how to have funWe are looking for aDatabricks Backend Engineerto join an international team working on scalable data solutions for a client in the automotive sector, within the Azure ecosystem.ResponsibilitiesDesign and developETL/ELT data pipelinesBuild and optimize solutions usingAzure Databricks and Apache Spark (PySpark)Orchestrate workflows withAzure Data FactoryProcess large datasets ensuring quality and reliabilityCollaborate with data and business teamsMonitor and optimize data processesRequirements4+ years of experience inData Engineering or data-focused Backend rolesStrong experience withAzure Databricks and Spark (PySpark)Proficiency inPython and SQLExperience withETL/ELT pipelines and Azure Data FactoryKnowledge ofDelta Lake and Databricks WorkflowsExperience in distributed data environmentsFamiliarity withGit and Agile methodologiesEnglish level: C1Nice to haveCI/CD experienceAzure data architecture knowledgePerformance optimization and data modelingTech stackAzure Databricks · Spark · Python · SQL · ADF · Delta Lake · Git · Azure??Fullremote?? 8.5h Monday-Thursday, 6h FridayIf this opportunity sounds interesting, feel free to share your profile - we will be happy to provide more details?? Learn more about Capitole??? Glassdoor ReviewsThe employee will adhere to information security policies:-Will have access to confidential information related to Capitole and the project they are working on.-Must comply with the security policies and internal policies of the company and the client.-Must sign an NDA.
Requirements
4+ years of experience in Data Engineering or data-focused Backend roles Strong experience with Azure Databricks and Spark (PySpark) Proficiency in Python and SQL Experience with ETL/ELT pipelines and Azure Data Factory Knowledge of Delta Lake and Databricks Workflows Experience in distributed data environments Familiarity with Git and Agile methodologies English level: C1 Nice to have CI/CD experience Azure data architecture knowledge Performance optimization and data modeling Tech stack Azure Databricks · Spark · Python · SQL · ADF · Delta Lake · Git · Azure
Benefits & conditions
Fullremote ?? 8.5h Monday-Thursday, 6h Friday If this opportunity sounds interesting, feel free to share your profile - we will be happy to provide more details ?? Learn more about Capitole ??? Glassdoor Reviews The employee will adhere to information security policies: -Will have access to confidential information related to Capitole and the project they are working on. -Must comply with the security policies and internal policies of the company and the client. -Must sign an NDA.