{"id":3446713,"url":"https://alion.io/job/datamole-senior-cloud-engineer-databricks-python","title":"Senior Cloud Engineer – Databricks, Python","company":{"id":54916,"name":"Datamole","domain":"datamole.ai","url":"https://alion.io/company/datamole","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prague, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":91000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"FastAPI","optional":true},{"name":"Grafana","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Polars","optional":true},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-29T07:42:37Z","employer_posted_date":null,"last_verified_at":"2026-10-29T07:42:37Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We’re looking for a curious cloud and software engineer to join our Data Engineering team in Prague. You will be part of a cross-disciplinary team developing both the device-side and cloud-side components of data-intensive systems, using Python for cloud applications and Rust for industrial Linux applications.\nIn this role, your primary hands-on focus will be developing and evolving a Databricks platform on Azure for one of our long-term clients, alongside work on other data-intensive cloud projects in Python. You will work together with dedicated user support and platform engineering colleagues, steadily growing into the primary technical lead for this platform at a sustainable pace.\nYour Responsibilities\nHands-On Platform Development & Scouting: Build, automate, and evolve the Databricks and Azure environment using Infrastructure as Code. You will actively scout and test new technologies, track the Databricks roadmap, and resolve technical debt to keep the platform modern and reliable.\n\nPlatform Adoption & Team Alignment: Help engineering teams at both Datamole and the client get the most out of the platform. You will identify what individual teams need, turn those findings into practical guidelines and platform improvements, and connect people across teams to drive adoption forward.\n\nCloud Applications & Data Pipelines: As a secondary part of the role, design and build cloud applications and data pipelines in Python that optimize industrial processes and run ML workloads at scale, collaborating with our data scientists and device-side (Rust) engineers.\n\nModern AI Workflows & Mentorship: Actively integrate agentic AI coding tools into our daily workflows, continuously refining our engineering practices while retaining strict ownership of technical decisions and software quality. Contribute to code reviews and share knowledge across the team.\n\nWhat We’re Looking For\n5+ years of professional cloud, data, or software engineering experience, including delivering, maintaining, and scaling production systems in a cloud environment. Though we care much more about your engineering foundation and how quickly you pick up new concepts than the exact number of years on your CV.\n\nCloud & Data Platform Skills: Hands-on experience with Databricks (e.g., Unity Catalog, Delta Lake, PySpark, Asset Bundles) and Microsoft Azure (Storage, Key Vaults, networking, Azure SDK) - or strong experience with comparable cloud platforms and the drive to go deep into the Databricks ecosystem.\n\nInfrastructure & Code: Practical experience with Infrastructure as Code (e.g., Terraform), CI/CD pipelines (e.g., GitHub Actions), and solid proficiency in Python 3 and SQL.\n\nEngineering Foundation: A strong grasp of software engineering principles, automated testing, and the ability to independently solve complex engineering problems.\n\nCuriosity Beyond the Cloud: An interest in how things work closer to the device side (Linux, edge computing), with a willingness to learn Rust in the future and potentially contribute to our device-side applications over time.\n\nCommunication & Culture: A collaborative mindset with a focus on open communication, trust, and shared responsibility. At Datamole, we deeply value fairness, long-term thinking, and a healthy work-life balance (no crunch culture). Professional working proficiency in English.\n\nNice to Have\nExperience with modern Python web frameworks (e.g., FastAPI) and data libraries (e.g., Polars).\n\nGeneral familiarity with Machine Learning and AI concepts (you don't need to be a data scientist, but it helps to understand their workflows when supporting ML projects on the platform).\n\nFamiliarity with monitoring and observability tools (OpenTelemetry, Prometheus, Grafana).\n\nWhat we offer \n🤝 Friendly company culture – no unnecessary meetings, no dress code (but please wear something!).\n\n🏠 Cozy offices at Vítězné náměstí in Dejvice, Prague – right next to tram and metro stations.\n\n⚖️ Life-work balance (yes, life comes first here!) and flexible working hours.\n\n🥳 Regular team-building events 4 times a year, company events, and parties.\n\n🏖️ 6 weeks of vacation and 5 sick days.\n\n🧘♀️ Online therapy sessions with Hedepy.\n\n✅ Extra perks: Snacks, fresh fruit, premium tea and coffee, a library with a curated selection of books, weekly knowledge-sharing sessions, Czech and English language lessons, showers, and fresh towels.","description_format":"text","description_chars":4393,"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":["Company events","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Edge AI","Industrial AI","Agriculture AI"],"lifecycle":[{"event":"open","at":"2026-10-29T08:39:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":36,"reasons":["seen:1","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/datamole-senior-cloud-engineer-databricks-python","json_url":"https://alion.io/job/datamole-senior-cloud-engineer-databricks-python.json","meta":{"generated_at":"2026-11-01T03:01:20Z","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":4617,"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":54916},"rest":"https://alion.io/mcp/rest/get_company?id=54916"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatamole-senior-cloud-engineer-databricks-python"},{"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%2Fdatamole-senior-cloud-engineer-databricks-python"},{"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%2Fdatamole-senior-cloud-engineer-databricks-python"},{"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/datamole-senior-cloud-engineer-databricks-python\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatamole-senior-cloud-engineer-databricks-python"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3446713}},{"tool":"search_jobs","arguments":{"company":"datamole.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3446713},"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); https://alion.io/mcp with an Alion account has everything. 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