{"id":1959807,"url":"https://alion.io/job/avacone-group-eu-platform-engineer-2","title":"Platform Engineer","company":{"id":669451,"name":"Avacone Group EU","domain":"avacone.eu","url":"https://alion.io/company/avacone","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":167000,"period":"year","method":"role_country_seniority_unknown","sample_n":147},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"Kibana","optional":false},{"name":"Logstash","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Puppet","optional":true}],"status":"live","first_seen_at":"2026-10-06T14:52:03Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-08T00:52:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Cloudera, Elastic Stack & Dataiku\nPosition Overview\nWe are looking for an experienced Platform Engineer to support, maintain and further develop our Cloudera, Elastic Stack and Dataiku platform environment.\nThe role combines platform operations, solution development, automation and user support. You will work closely with data engineers, data scientists, analysts and business stakeholders to deliver stable, scalable and efficient data and analytics solutions.\n Key Responsibilities\nSupport, maintain and optimise Cloudera, Elastic Stack and Dataiku platforms\nDesign and develop data pipelines, workflows, dashboards and platform integrations\nBuild and support real-time streaming solutions using Apache Kafka\nDevelop custom scripts, plugins and integrations using Python, Scala and REST APIs\nDesign and automate ETL and data ingestion processes using tools such as Apache NiFi and Logstash\nCreate Kibana dashboards, reports, queries and search solutions\nSupport the deployment and operationalisation of machine learning models in Dataiku\nAutomate platform deployments and operations using Ansible, Terraform or similar tools\nImplement CI/CD pipelines using GitHub Actions, Jenkins or comparable technologies\nTroubleshoot platform, workflow and integration issues\nCreate reusable scripts, templates, libraries and technical documentation\nProvide guidance, training and platform support to users and internal teams\nSupport occasional weekend or public holiday activities related to system changes or testing\nRequirements\nRequired Skills and Experience\nStrong experience with at least two of the following platforms:\nCloudera\nElastic Stack\nDataiku DSS\nGood knowledge of Hadoop ecosystem technologies such as HDFS, YARN, Hive, Spark and Kafka\nExperience with Elasticsearch, Logstash, Kibana and Beats\nExperience designing data pipelines, ETL processes and streaming solutions\nProgramming or scripting experience with Python and/or Scala\nExperience integrating platforms and external systems through REST APIs\nGood knowledge of GitHub, branching strategies, pull requests and code reviews\nExperience with CI/CD, infrastructure automation and deployment processes\nUnderstanding of clean code, secure coding and documentation standards\nStrong troubleshooting, analytical and communication skills\nAbility to translate business requirements into practical technical solutions\nProfessional English skills\n Preferred Qualifications\nExperience with machine learning deployment and data science platforms\nKnowledge of Apache NiFi, Terraform, Ansible or Puppet\nExperience working in enterprise-scale data and analytics environments\nFamiliarity with agile and DevOps working practices\nGeneral Information\nWorkload: 100%\nStart Date: As soon as possible\nLocation: Flexible, with availability during Swiss working hours\n Expected Outcomes\nStable and well-maintained platform environments\nReliable delivery of data pipelines, dashboards and analytics solutions\nAutomated and optimised platform operations\nEffective user support and knowledge transfer\nClear, reusable and up-to-date technical 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