{"id":2256862,"url":"https://alion.io/job/deloittece-data-engineer-databricks-bulgaria","title":"Data Engineer - Databricks | Bulgaria","company":{"id":4401342,"name":"Deloitte Central Europe","domain":"deloittece.com","url":"https://alion.io/company/deloittece","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":62000,"period":"year","method":"role_country_seniority_unknown","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true},{"name":"Machine Learning","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-11T04:05:17Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T08:07:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description & Requirements\nWho we are looking for\nAt Deloitte, we help organizations unlock the value of their data through modern cloud platforms, advanced analytics, and AI-driven solutions. As a Databricks Data Engineer, you will design, build, and optimize scalable data solutions that power critical business insights and future AI initiatives.\nYou will work alongside Data Architects, Data Scientists, and experienced Data Engineers to deliver enterprise-grade Lakehouse solutions usingDatabricks and modern cloud technologies. This role isideal for someone who enjoys solving complex data challenges, building scalable platforms, and taking ownership of solutions from development through production.\n\nWhat you bring:\n3-5 max years of experience inData Engineering.\nHands-on experience with Databricks and Apache Spark.\nStrong skills in PySpark, Python, and SQL.\nExperience developing production-grade ETL/ELT pipelines.\nGood understanding of Delta Lake, Lakehouse Architecture, and data modelling.\nExperience with batch and incremental data processing.\nUnderstanding of Spark optimization and distributed data processing concepts.\nExperience with Azure, AWS, or GCP.\nFamiliarity with Git and modern software engineering practices.\nStrong analytical and problem-solving skills.\nAbility to independently deliver Data Engineering solutions from development to production.\nExcelleng English language skills and native Bulgarian are a must\nNice to have\nUnity Catalog\nDatabricks Asset Bundles\nAuto Loader\nStructured Streaming\nLakeflow\nTerraform\ndbt\nCI/CD experience\nDatabricks Certification\nYour future role\nDesign and build scalable ETL/ELT data pipelines using Databricks, PySpark, Python, and SQL.\nDevelop modern Lakehouse solutions using Delta Lake and Medallion Architecture.\nBuild batch, incremental, and streaming data processing solutions.\nOptimize Spark workloads for performance, scalability, reliability, and cost efficiency.\nImplement data quality, monitoring, troubleshooting, and operational best practices.\nConfigure and manage Databricks Workflows and Jobs.\nSupport data governance and access controls using Unity Catalog.\nCollaborate with Architects, Data Scientists, and business stakeholders to deliver high-quality solutions.\nContribute to code reviews, CI/CD processes, and engineering best practices.\nTroubleshoot production issues and continuously improve platform performance and reliability\nWhat we offer\nWhy Deloitte\nWork on Data & AI projects\nBuild modern data platforms that enable analytics, machine learning, and AI.\nGrow your Databricks expertise\nWork with the latest Databricks technologies, cloud platforms, and engineering best practices.\nLearn from experienced specialists\nCollaborate with Architects, Engineers, and Data Scientists across Deloitte's international network.\nDevelop your career\nAccess certifications, continuous learning opportunities, mentorship, and clear growth paths.\nWork across industries\nSupport leading organizations across Financial Services, Retail, Consumer, Energy, Manufacturing, Telecommunications, and Public Sector.\nSelection process\nStep 1: Application\nSubmit your CV in English through our careers portal.\nStep 2: HR Interview\nA conversation with our Talent Acquisition team to discuss your experience, motivation, and career goals in English\nStep 3: Technical & Final Interview\nMeet our Data & AI team to discuss your Databricks experience, project work, and overall fit for the 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