{"id":4297396,"url":"https://alion.io/job/clickhouse-data-platform-engineer","title":"Data Platform Engineer","company":{"id":3448,"name":"ClickHouse","domain":"clickhouse.com","url":"https://alion.io/company/clickhouse","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":51,"ghost_share":0,"stale_share":0.627,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","GB","NL","ES"],"hiring_countries_total":4,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon S3","optional":true},{"name":"Superset","optional":true}],"status":"live","first_seen_at":"2026-11-14T00:21:21Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T01:53:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the role\nAt ClickHouse, we believe in making product decisions grounded in data, not gut feelings. To support that, we've built a comprehensive internal data warehouse - read more about it on our blog. It powers analytics, forecasting, and decision-making across every team in the company.\nOur stack centers on ClickHouse as the core storage and processing engine, complemented by dbt, Airflow, S3, AWS, Superset, and GitHub Actions. We ingest data from 30+ distinct external sources, process over 2.5 PB of data, and deliver most data marts to business consumers with a 1-hour end-to-end latency - a standard that demands highly optimized, rock-solid transformation pipelines.\nWe're looking for a Senior Data Engineer to help evolve the DWH platform, push its technical boundaries, and deliver reliable, high-performance data models to business users across the organization.\nKey Responsibilities\nDWH Platform Development\nDesign and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture.\n\nBuild reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns.\n\nDevelop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale.\n\nTeam contributions\nConduct thorough code reviews for team members and other team contributors.\n\nActively participate in technical and architectural design discussions.\n\nDrive technical leadership in specific areas of our stack.\n\nContinuously improve the team's development environment, with a focus on automation - including AI-assisted workflows.\n\nContribute to platform stability through proactive troubleshooting and timely incident resolution.\n\nData modeling\nDevelop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices.\n\nMentor and support contributors through code reviews and technical guidance.\n\nLead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic.\n\nQualifications\nRequired:\nExceptional SQL skills - this is non-negotiable.\n\nStrong hands-on experience withAirflow, dbt, and Python.\n\nProven track record building and optimizing large-scale, high-throughput data pipelines.\n\nSolid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality.\n\nBachelor's degree in Computer Science or a related field.\n\nComfortable thriving in a fast-paced startup environment - exciting and dynamic, but sometimes wonderfully chaotic.\n\nPreferred:\nHands-on experience with ClickHouse - a significant advantage.\n\nFamiliarity with AWS or other cloud platforms.\n\nExperience with CI/CD development, especially using GitHub Actions.\n\nPerks\nFlexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.\n\nHealthcare - Employer contributions towards your healthcare.\n\nEquity in the company - Every new eligible team member who joins our company receives equity.\n\nTime off - Flexible time off in the US, generous entitlement in other countries.\n\nA USD$500 Home office setup if you’re a remote employee.\n\nGlobal Gatherings - We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.\n\nCulture - We All Shape It\nAs part of a rapidly scaling start-up, you will be instrumental in shaping our culture.\nAre you interested in finding out more about our culture? Learn more about our values here. Check out ourblog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.\nEqual Opportunity & Privacy\nClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nPlease see here for our Privacy Statement.","description_format":"text","description_chars":4323,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Flexible time off","Home office"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Warehouses & Lakehouses","Databases & DBMS"],"lifecycle":[{"event":"open","at":"2026-11-14T01:53:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":66,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-11-14T03:59:11Z"},"pay":null,"html_url":"https://alion.io/job/clickhouse-data-platform-engineer","json_url":"https://alion.io/job/clickhouse-data-platform-engineer.json","meta":{"generated_at":"2026-11-14T03:59:11Z","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":6233,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":3448},"rest":"https://alion.io/mcp/rest/get_company?id=3448"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclickhouse-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fclickhouse-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fclickhouse-data-platform-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/clickhouse-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclickhouse-data-platform-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4297396}},{"tool":"search_jobs","arguments":{"company":"clickhouse.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4297396},"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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