{"id":2583086,"url":"https://alion.io/job/deecoob-senior-software-engineer-data-pipelines-ml-mwd","title":"Senior Software Engineer – Data Pipelines & ML (m/w/d)","company":{"id":4418119,"name":"deecoob","domain":"deecoob.com","url":"https://alion.io/company/deecoob","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dresden, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":126000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Semantic Search","optional":false},{"name":"Terraform","optional":false},{"name":"ArgoCD","optional":true},{"name":"Bitbucket","optional":true},{"name":"FastAPI","optional":true},{"name":"Firestore","optional":true},{"name":"gRPC","optional":true},{"name":"JavaScript","optional":true},{"name":"Machine Learning","optional":true},{"name":"Pandas","optional":true},{"name":"Poetry","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-01T09:20:30Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-15T02:38:31Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Making music visible - at eye level with colleagues, partners and customers\nWhether you call yourself a developer, an engineer or just a software enthusiast, what matters to us is your drive to turn great features into reality. You'll work on MESLIS, our own product, which we keep developing to support collective management organizations. You won't be building for anonymous clients. You'll be building a product we use ourselves.\nIf you're looking for creative freedom, technical depth and a motivated team, you've come to the right place. You'll work in a cross-functional team of Product Owners, Project Managers, Data Engineers, C# backend engineers, React frontend engineers and Platform Engineers. Together, we design cloud-native microservices, make architecture decisions and take features from idea to production.\nOur current tech stack\nCloud-native microservices · Python (FastAPI, gRPC, Pandas, Poetry) · Machine Learning & LLMs · Event-driven architecture with Kafka · GCP (Kubernetes, Cloud SQL, Firestore) · Deployment & CI/CD (Bitbucket, Docker, ArgoCD, Terraform, SonarCloud)\nHere you set the tone\nBuild cloud-native, event-driven data pipelines in Python, from data ingestion through enrichment and classification to matching and merging.\nWork on semantic search and clustering algorithms that intelligently merge and enrich events and venues, and on LLM-based components for extraction and validation.\nMeasure and improve the quality of our models and pipelines using data-driven analysis, and use tracking and tracing to make the whole data flow transparent.\nTreat CI/CD, logging, monitoring and testing as a natural part of development.\nShare responsibility for stable deployments and the operation of our services with our GCP Platform Engineers and our C# and React engineers.\nWork closely with the business and product teams to design technical solutions that deliver real value.\nYour mix\nSeveral years of experience building distributed systems or microservices, ideally in Python\nCuriosity about data processing, ML and LLMs, and high standards for reliable, traceable data\nExperience with event-driven architectures and messaging systems such as Kafka or similar technologies\nSome hands-on experience with container, deployment and infrastructure tools such as Docker, Kubernetes or Terraform\nEnjoyment of cross-functional, agile teamwork\nGood English skills for communicating in our international team\nWhat you get for it\nA modern, cloud-based tech stack built on best practices, backed by the stability of the GEMA Group\nThe chance to work on international projects in the music rights field, with direct product responsibility\nLearning together through regular visits to regional conferences and internal knowledge-transfer sessions\nFlexible working hours and a hybrid model with two home-office days per week and up to ten days of workation per year\nExtra benefits such as JobRad (bike leasing), a public transport ticket, a childcare allowance and employee discounts at the Altmarkt-Galerie Dresden\nA centrally located office at Postplatz in Dresden\nAll this is exactly your thing?\nIf you recognise yourself in the description of your future tasks and the associated prospects, we would like to get to know you.Send us your application with your CV, qualifications and references, as well as your salary expectations and possible start date, using the application form or by email ().\nWe look forward to hearing from 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