Databricks Engineer

Company DescriptionWe are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!Job DescriptionThis role will work closely with internal engineering, data science, and architecture teams to help establish a modern data platform capable of supporting both operational workloads and future data-driven capabilities.The ideal candidate is a true senior-level engineer who can take ownership of data modeling and Databricks cost optimization initiatives. They combine strong data engineering fundamentals with experience building modern data platforms on Databricks, and thrive in collaborative environments where architecture, development, and data science intersect. We're looking for someone comfortable driving decisions independently.Responsibilities include:Design and build scalable data pipelines using Databricks and SparkDevelop and optimize ETL/ELT workflows that ingest data from multiple operational systems (Oracle, SQL Server, and cloud-based sources)Support development of a modern data platform architecture leveraging Databricks for analytics, ML, and data science workloadsCollaborate with data scientists and engineering teams to prepare and structure datasets for machine learning and advanced analyticsOwn end-to-end data modeling - including dimensional modeling, domain modeling, and designing analytics layers that serve reporting, product, and data science consumersOptimize performance and cost efficiency across Databricks workloads Develop data ingestion pipelines and orchestration workflowsPartner with application engineering teams to integrate operational data into the analytics platformEnsure data governance, security, and reliability across the platformContribute to the evolution of the client's broader cloud and data modernization strategyQualifications+90% English written and oral (at least B2 level) with excellent communication skills5+ years of experience in data engineering or data platform developmentHands-on experience building solutions with DatabricksProven expertise in data modeling - dimensional modeling, domain modeling, and designing analytics layersTrack record of owning work - able to define scope, make architectural decisions, and deliver outcomes with minimal directionStrong experience with Apache Spark (PySpark or Scala)Experience designing and building ETL/ELT pipelinesExperience working with large-scale relational databases (Oracle or SQL Server preferred)Strong SQL skillsExperience working with cloud platforms (Azure preferred)Familiarity with modern data architecture patterns (lakehouse, medallion architecture, etc.)#REF2038A