{"id":3466154,"url":"https://alion.io/job/pulserise-technologies-datadatabricks-engineer","title":"Data/Databricks Engineer","company":{"id":4485907,"name":"PulseRise Technologies","domain":"pulserisetechnologies.io","url":"https://alion.io/company/pulserise-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["CZ"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":50000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"dbt","optional":true},{"name":"Python","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-16T10:12:06Z","employer_posted_date":null,"last_verified_at":"2026-10-16T10:12:06Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"We're looking for a Middle+ Data/Databricks Engineer to join our data team and take ownership of pipelines built on Databricks. You'll design and run production-grade ETL/ELT workloads, work with the lakehouse (Delta Lake) architecture, and partner closely with analysts, data scientists, and business stakeholders who rely on the data you deliver. \"Middle+\" here means roughly 3–5 years of hands-on data engineering experience: you can own a pipeline end to end with minimal supervision, make sound design decisions, and are starting to mentor more junior engineers — without yet carrying full architectural ownership of the platform.\n\nContract & Logistics\n\nContract type: B2B (valid Czech IČO / trade license required).\n\nLocation: Remote, candidate must be based in the Czech Republic; occasional visit to Prague office.\n\nStart date: ASAP\n\nEnglish: Fluent \n\nCzech: Native/Fluent \n\nWhat You'll Do\n\nDesign, build, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and SQL.\n\nImplement and evolve Delta Lake tables following a medallion (bronze/silver/gold) architecture.\n\nDevelop batch and, where needed, streaming data processing jobs (Structured Streaming).\n\nBuild and maintain CI/CD for Databricks notebooks and jobs (Databricks Asset Bundles, Repos, Git-based workflows).\n\nOrchestrate pipelines with Databricks Workflows, Azure Data Factory, Airflow, or similar tools.\n\nMonitor job performance and cluster costs; troubleshoot failures and optimize for reliability and spend.\n\nImplement data quality checks, testing, and monitoring for critical datasets.\n\nCollaborate with analysts, data scientists, and business stakeholders to translate requirements into data models.\n\nParticipate in code reviews, document technical decisions, and help shape engineering best practices.\n\nProvide guidance and informal mentorship to junior team members.\n\nWhat We're Looking For\n\n3+ years of hands-on experience with Apache Spark, ideally on Databricks specifically.\n\nStrong PySpark and SQL skills, including performance tuning of Spark jobs.\n\nPractical experience with Delta Lake and lakehouse architecture concepts.\n\nSolid grasp of data modeling (dimensional modeling, star schema) and ETL/ELT design patterns.\n\nExperience with at least one major cloud platform — Azure, AWS, or GCP (Azure Databricks is a plus).\n\nFamiliarity with pipeline orchestration tools (Databricks Workflows, ADF, Airflow, or equivalent).\n\nWorking knowledge of Git and CI/CD practices for data engineering.\n\nUnderstanding of data governance, access control, and security basics (Unity Catalog is a plus).\n\nGood written and spoken English; Czech or Slovak is a plus but not required.\n\nComfortable working independently and communicating clearly in a remote, distributed team.\n\nNice to Have\n\nDatabricks certification (Data Engineer Associate or Professional).\n\nExperience with streaming technologies such as Kafka or Azure Event Hubs.\n\nExperience with dbt for transformation and testing.\n\nSolid Python software-engineering practices — testing, packaging, typing.\n\nInfrastructure-as-code experience (Terraform).\n\nExposure to MLOps or ML pipeline support.\n\nExperience in a regulated or large enterprise data environment.\n\nWhat We Offer\n\nFully remote work with flexible hours, based anywhere in the Czech Republic.\n\nLong-term B2B cooperation with a stable pipeline of work.\n\nA modern, actively evolving data stack rather than legacy maintenance work.\n\nDirect collaboration with senior engineers and architects — real input on design decisions.\n\nBudget for training, certifications, and conference attendance.\n\nA flat structure with fast decision-making and minimal bureaucracy.","description_format":"text","description_chars":3652,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Czech Republic","iso":"CZ","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-29T15:24:45Z"}],"visa":[],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.847,"p_room":0.9,"age_days":15,"expected_fill_days":28,"reasons":["seen:15","velocity","win:mid"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/pulserise-technologies-datadatabricks-engineer","json_url":"https://alion.io/job/pulserise-technologies-datadatabricks-engineer.json","meta":{"generated_at":"2026-11-01T11:15:54Z","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":17403,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":4485907},"rest":"https://alion.io/mcp/rest/get_company?id=4485907"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpulserise-technologies-datadatabricks-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%2Fpulserise-technologies-datadatabricks-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%2Fpulserise-technologies-datadatabricks-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/pulserise-technologies-datadatabricks-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpulserise-technologies-datadatabricks-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3466154}},{"tool":"search_jobs","arguments":{"company":"pulserisetechnologies.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3466154},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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