{"id":3535246,"url":"https://alion.io/job/datavent-senior-data-engineer-cloud-data-platforms-lakehouse","title":"Senior Data Engineer – Cloud Data Platforms & Lakehouse","company":{"id":676839,"name":"Datavent","domain":"datavent.io","url":"https://alion.io/company/datavent","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"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":"structured","locations":[],"countries":[],"hiring_countries":["DE","AE"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":80000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-30T16:29:24Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T23:02:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"IMPORTANT Application note\nPlease apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you.\nAbout AgentixLake\nAgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities.\nYour role\nOwn the data foundations that analytics and AI depend on. You will lead the engineering of cloud data platforms and lakehouse solutions, from source integration and modelling through deployment, performance tuning and reliable operation.\nOur data engineering services cover platform modernisation, analytics engineering and DataOps. We work with AWS, Snowflake, Databricks, Google Cloud and on-premises technologies, selecting the stack that fits the customer’s requirements.\nWhat you will do\nDesign and deliver batch or streaming pipelines that integrate operational databases, APIs, files and event sources.\nBuild maintainable data models and transformations for analytics, governed metrics and AI applications.\nImplement lakehouse or warehouse architectures, choosing appropriate storage formats, partitioning and processing strategies.\nEstablish data quality tests, orchestration, lineage, monitoring and recovery procedures; investigate incidents and remove recurring causes.\nManage infrastructure and deployments through version control, infrastructure as code and CI/CD, with appropriate access controls.\nLead technical delivery with customers and colleagues, review code and document the decisions needed to operate and extend the platform.\nWhat you bring\nSubstantial experience delivering and operating production data platforms, including responsibility for technical decisions and service reliability.\nStrong Python and SQL, sound data modelling and a practical understanding of distributed processing and orchestration.\nDepth in at least one major environment such as AWS, Snowflake, Databricks or Google Cloud, with the ability to assess alternatives.\nExperience with tools such as dbt, Airflow or Dagster, and with testing, Git, CI/CD and infrastructure automation.\nThe ability to explain performance and cost trade-offs, scope a deliverable and communicate clearly with technical and business stakeholders in English.\nExperience with Apache Iceberg, Spark, Kafka, Terraform or data foundations for RAG and AI agents is valuable. AWS or other relevant certifications support your application; delivery evidence matters most.\nWhat you can expect\nYou will take responsibility for substantial engineering work, collaborate directly with the founders and influence our reusable delivery patterns. The role combines implementation with platform architecture and practical technical consulting.\nHow to apply\nUse the Apply button on this page to submit your CV, location and availability. Describe one production platform you owned, your individual contribution and a measurable improvement or operational problem you resolved. An anonymised case summary is sufficient; please do not share confidential client material.\nWe welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you.\nStay connected\nFollow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions.\nLinkedIn: https://www.linkedin.com/company/agentixlakegmbh/\nWebsite: https://agentixlake.com/\nExplore our AWS data and AI platform work: https://agentixlake.com/platform-aws","description_format":"text","description_chars":3896,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"United Arab Emirates","iso":"AE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-30T17:23:52Z"}],"visa":[],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":1,"p_active":0.523,"p_room":0.945,"age_days":1,"expected_fill_days":3,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/datavent-senior-data-engineer-cloud-data-platforms-lakehouse","json_url":"https://alion.io/job/datavent-senior-data-engineer-cloud-data-platforms-lakehouse.json","meta":{"generated_at":"2026-11-02T01:41:38Z","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":2645,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":676839},"rest":"https://alion.io/mcp/rest/get_company?id=676839"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatavent-senior-data-engineer-cloud-data-platforms-lakehouse"},{"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%2Fdatavent-senior-data-engineer-cloud-data-platforms-lakehouse"},{"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%2Fdatavent-senior-data-engineer-cloud-data-platforms-lakehouse"},{"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/datavent-senior-data-engineer-cloud-data-platforms-lakehouse\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatavent-senior-data-engineer-cloud-data-platforms-lakehouse"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3535246}},{"tool":"search_jobs","arguments":{"company":"datavent.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3535246},"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. Docs: https://alion.io/developers"}}