{"id":2413857,"url":"https://alion.io/job/stefanini-senior-databricks-data-engineer","title":"Senior Databricks Data Engineer","company":{"id":4425653,"name":"Stefanini EMEA","domain":"stefanini.ro","url":"https://alion.io/company/stefanini-ro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartSearch","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":98000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"QlikSense","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-10T12:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T13:07:50Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Senior Databricks Developer is responsible for designing, developing, optimizing, and operating data solutions on the Databricks platform. The role contributes to the implementation and evolution of the organization's Data Lakehouse by developing data ingestion, transformation, processing, and delivery processes for reporting, advanced analytics, and AI/ML initiatives. The individual will have end-to-end responsibility for data pipelines and will act as a technical reference within the team.\nResponsibilities\nData Development and Integration\nDevelops and maintains data ingestion, transformation, and publishing processes using Databricks and PySpark.\nBuilds and optimizes ETL/ELT pipelines for large volumes of data.\nImplements Delta Lake structures and data models for operational and analytical consumption.\nDevelops incremental loading, historization, and CDC (Change Data Capture) mechanisms.\nIntegrates data from multiple sources, including Oracle, SQL Server, APIs, files, banking applications, and others.\nData Architecture and Modeling\nParticipates in defining the Data Lakehouse architecture.\nProposes scalable and high-performance data models.\nContributes to the development of coding standards and platform architecture.\nEnsures data traceability and consistency throughout the entire processing flow.\nData Quality and Operations\nImplements automated data quality controls.\nDevelops data reconciliation and validation processes.\nConfigures process monitoring, alerting, and logging.\nAnalyzes and resolves production incidents.\nManages data reloads, reruns, corrections, and recovery processes.\nOptimization and Performance\nOptimizes PySpark and SQL processes for cost efficiency and performance.\nIdentifies and eliminates processing bottlenecks.\nOptimizes the use of Databricks resources.\nContributes to the automation of development and deployment processes.\nMinimum 5 years of experience in Data Warehouse, Big Data, or enterprise data platform development.\nMinimum 2-3 years of hands-on experience with Databricks.\nDemonstrated experience in complex Data Warehouse, Data Mart, or Data Lake projects.\nExperience developing end-to-end data pipelines.\nStrong knowledge of Data Lakehouse architecture.\nExperience implementing historization, CDC, reconciliation, and Data Quality processes.\nAbility to take full ownership of technical deliveries and provide technical leadership to the team;\nFluent communication in English and Romanian languages. \nMandatory Tech Skills:\nAzure Databricks/PySpark\nSQL avansat\nDelta Lake\nGit & Jira\nData Modelling\nETL / ELT\nData Quality Frameworks\nPipeline Orchestration\nNice to have technical skills:\nAzure Data Factory\nKafka\nEvent Streaming\nPython avansat\nCI/CD\nUnity Catalog\nData Governance\nMachine Learning pe Databricks\nQlik Sense\nBanking Experience (a Major Advantage)\nKnowledge of Retail Banking products and processes.\nExperience with financial reporting and management reporting.\nKnowledge of risk, compliance, and regulatory reporting processes.\nUnderstanding of banking data flows and enterprise analytics ecosystems.\nThe preceding job description had been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.\nWhat we offer:\nYou will find here not only a challenging and interesting workplace, but also a rewarding work experience, with competitive compensation and benefit packages:\nSoft skills and technical training for current and emerging products and technologies;\nCareer development: opportunity to grow within the team;\nSpecial referral bonuses for recommending your friends;\nPrivate Medical subscription;\nA monthly budget for flexible benefits program that includes public transportation reimbursement and meal tickets, sport & wellness, telecom & electronics, children & parents, holiday & culture, tourism;\nFlexible working hours and work from home, aligned with project needs;\nFriendly team who is eager to meet you.\nWhat's next:\nIt's best to apply today, because job postings can be taken down and we wouldn't want you to miss this opportunity. In case you need further information, just send us a message at  and we'll be happy to assist!\nDiversity & Inclusion\nHere at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you!\nAbout us\nWe are the Stefanini group, a global tech consulting company of Brazilian origin that believes in the power of people to transform businesses through technology.\nWe are present in over 40 countries and operate with the purpose of co-creating solutions TOGETHER WITH OUR CLIENTS that accelerate results and improve the experience of people and organizations.\nHere, we like to say that technology is not the end, but the means: what really matters are the people who drive it all.\nOur mindset is AI First, meaning we invest in cutting-edge technology in everything we do, focusing on results for our clients.\nWe are a company, A GROUP, that breathes collaboration and offers a dynamic environment where you will learn by doing, grow alongside the team, and have space to contribute with ideas and projects.\nMore than just talking about digital transformation, we believe in real transformation that starts with people and impacts real businesses.\nIf you are looking for a place to develop, innovate, and be part of something bigger, the Stefanini Group is your place.\nWe want to inform you that there are currently scams targeting job seekers by falsely using our company's name, Stefanini. We sincerely apologize for any confusion or inconvenience this may have caused.\nPlease remember that legitimate job offers from Stefanini will always come through official channels, including direct communication with our trained recruiters. If you receive any unsolicited messages requesting payment or personal information, please disregard them.\nIf you suspect you've been targeted, please contact us immediately at  for verification.\nKey Points to Remember:\n* Legitimate job offers only follow interviews conducted with our hiring managers or clients.\n* We will never ask for payment at any stage of the recruitment process.\nStay vigilant and feel free to reach out for verification. Your safety and security are our top priorities. Thank you for your understanding and cooperation.\nMinimum 5 years of experience in Data Warehouse, Big Data, or enterprise data platform development.\nMinimum 2-3 years of hands-on experience with Databricks.\nDemonstrated experience in complex Data Warehouse, Data Mart, or Data Lake projects.\nExperience developing end-to-end data pipelines.\nStrong knowledge of Data Lakehouse architecture.\nExperience implementing historization, CDC, reconciliation, and Data Quality processes.\nAbility to take full ownership of technical deliveries and provide technical leadership to the team;\nFluent communication in English and Romanian languages. \nMandatory Tech Skills:\nAzure Databricks/PySpark\nSQL avansat\nDelta Lake\nGit & Jira\nData Modelling\nETL / ELT\nData Quality Frameworks\nPipeline Orchestration\nNice to have technical skills:\nAzure Data Factory\nKafka\nEvent Streaming\nPython avansat\nCI/CD\nUnity Catalog\nData Governance\nMachine Learning pe Databricks\nQlik Sense\nBanking Experience (a Major Advantage)\nKnowledge of Retail Banking products and processes.\nExperience with financial reporting and management reporting.\nKnowledge of risk, compliance, and regulatory reporting processes.\nUnderstanding of banking data flows and enterprise analytics ecosystems.\nThe preceding job description had been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.\nWhat we offer:\nYou will find here not only a challenging and interesting workplace, but also a rewarding work experience, with competitive compensation and benefit packages:\nSoft skills and technical training for current and emerging products and technologies;\nCareer development: opportunity to grow within the team;\nSpecial referral bonuses for recommending your friends;\nPrivate Medical subscription;\nA monthly budget for flexible benefits program that includes public transportation reimbursement and meal tickets, sport & wellness, telecom & electronics, children & parents, holiday & culture, tourism;\nFlexible working hours and work from home, aligned with project needs;\nFriendly team who is eager to meet you.\nWhat's next:\nIt's best to apply today, because job postings can be taken down and we wouldn't want you to miss this opportunity. In case you need further information, just send us a message at  and we'll be happy to assist!\nDiversity & Inclusion\nHere at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you!\nAbout us\nWe are the Stefanini group, a global tech consulting company of Brazilian origin that believes in the power of people to transform businesses through technology.\nWe are present in over 40 countries and operate with the purpose of co-creating solutions TOGETHER WITH OUR CLIENTS that accelerate results and improve the experience of people and organizations.\nHere, we like to say that technology is not the end, but the means: what really matters are the people who drive it all.\nOur mindset is AI First, meaning we invest in cutting-edge technology in everything we do, focusing on results for our clients.\nWe are a company, A GROUP, that breathes collaboration and offers a dynamic environment where you will learn by doing, grow alongside the team, and have space to contribute with ideas and projects.\nMore than just talking about digital transformation, we believe in real transformation that starts with people and impacts real businesses.\nIf you are looking for a place to develop, innovate, and be part of something bigger, the Stefanini Group is your place.\nWe want to inform you that there are currently scams targeting job seekers by falsely using our company's name, Stefanini. We sincerely apologize for any confusion or inconvenience this may have caused.\nPlease remember that legitimate job offers from Stefanini will always come through official channels, including direct communication with our trained recruiters. If you receive any unsolicited messages requesting payment or personal information, please disregard them.\nIf you suspect you've been targeted, please contact us immediately at  for verification.\nKey Points to Remember:\n* Legitimate job offers only follow interviews conducted with our hiring managers or clients.\n* We will never ask for payment at any stage of the recruitment process.\nStay vigilant and feel free to reach out for verification. Your safety and security are our top priorities. Thank you for your understanding and cooperation.","description_format":"text","description_chars":11336,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Romanian","level":"Upper-Intermediate (B2)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T02:45:44Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.665,"p_room":0.55,"age_days":32,"expected_fill_days":28,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/stefanini-senior-databricks-data-engineer","json_url":"https://alion.io/job/stefanini-senior-databricks-data-engineer.json","meta":{"generated_at":"2026-10-13T16:35:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25117,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4425653},"rest":"https://alion.io/mcp/rest/get_company?id=4425653"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstefanini-senior-databricks-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstefanini-senior-databricks-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstefanini-senior-databricks-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/stefanini-senior-databricks-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstefanini-senior-databricks-data-engineer"}]}