{"id":1333498,"url":"https://alion.io/job/eventim-senior-data-streaming-engineer-data-platform-mfd","title":"Senior Data Streaming Engineer - Data Platform (m/f/d)","company":{"id":1754751,"name":"EVENTIM","domain":"eventim.de","url":"https://alion.io/company/eventim-de","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany","Hamburg, Germany","Bremen, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":136000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-29T00:00:00Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-01T09:23:15Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"We are seeking a highly skilled Data Engineer with deep expertise in real-time data streaming, cloud data platforms (Google Cloud Platform), and Apache Beam. In this role, you will design, build, and optimize streaming data pipelines that enable scalable, reliable, and high-quality data flows. You’ll collaborate closely with data scientists, analysts, and software engineers to ensure data is efficiently stitched, transformed, and delivered to power analytics, AI, and business intelligence initiatives.\nKey Responsibilities:\nDesign, implement, and maintain real-time streaming pipelines using Apache Beam and GCP services (e.g., Dataflow, Pub/Sub, BigQuery, Cloud Storage).\n\nDevelop scalable ETL/ELT solutions for both streaming and batch processing.\n\nImplement data stitching strategies to integrate multiple data sources into unified, high-quality datasets.\n\nEnsure data quality, reliability, and observability across pipelines.\n\nOptimize data workflows for performance and cost-efficiency in cloud environments.\n\nApply best practices in CI/CD, infrastructure-as-code, and monitoring for data pipelines.\n\nContribute to data governance, security, and compliance efforts.\n\nKey Requirements:\n4+ years of experience in Data Engineering with a focus on real-time/streaming pipelines.\n\nStrong expertise with Google Cloud Platform (GCP): Dataflow, Pub/Sub, BigQuery, Cloud Storage, Cloud Composer, etc.\n\nProficiency in Apache Beam (or equivalent frameworks such as Spark Structured Streaming, Flink).\n\nSolid programming skills in Python.\n\nExperience with data modeling, schema design, and data stitching across multiple sources.\n\nKnowledge of cloud-native DevOps practices (Terraform, Cloud Deployment Manager, CI/CD pipelines).\n\nStrong problem-solving skills and ability to work in fast-paced environments.\n\nHands-on knowledge of data observability tools (e.g., Datadog, Prometheus, OpenLineage).\n\nStrong understanding of event-driven architectures and message queues.\n\nPrior experience in high-volume, mission-critical data environments.\n\nBenefits\n30 days of paid vacation plus the option of up to 15 days of unpaid leave\n25 days of workation within the EU\nFlexible working hours\nSofa Concerts and employee events\nDiscounts on ticket purchases & opportunities for clearing assignments\nCorporate benefits and discounts at KESS\nCentral location & subsidy for a Job Ticket or Germany Ticket\nBike leasing\nMental health program & company pension scheme\n“GoFluent” language learning platform as well as Lunch & Learn sessions\nWe value diversity and treat all applications equally - regardless of gender, background, age, religion, disability, or sexual orientation. Different perspectives enrich our team and make EVENTIM stronger.","description_format":"text","description_chars":2726,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T13:31:37Z"}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.66,"p_room":0.36,"age_days":64,"expected_fill_days":39,"reasons":["conf:15","velocity","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/eventim-senior-data-streaming-engineer-data-platform-mfd","json_url":"https://alion.io/job/eventim-senior-data-streaming-engineer-data-platform-mfd.json","meta":{"generated_at":"2026-10-01T13:05:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4659,"day_limit":5000,"remaining_today":341,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}