{"id":1319888,"url":"https://alion.io/job/divitel-data-engineer","title":"Data Engineer","company":{"id":2056357,"name":"Divitel","domain":"divitel.com","url":"https://alion.io/company/divitel","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Apeldoorn, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":121000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":431},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"ElasticSearch","optional":true},{"name":"OpenSearch","optional":true}],"status":"live","first_seen_at":"2026-09-26T21:04:18Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-27T00:18:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"All open positions\nMindRelay\nData Engineer\nApeldoorn / HybridFull-timeMindRelay\nDesign and build the data infrastructure that powers MindRelay’s AI-driven analytics, automated root cause analysis, and operational intelligence capabilities.\nAbout the role\nMindRelay turns fragmented operational data from multi-vendor IPTV and broadband platforms into structured intelligence. As a Data Engineer, you will design the pipelines, data models, and lake architecture that make this possible. You will work at the intersection of data engineering and operational technology, building systems that have a direct impact on service quality for millions of subscribers.\nWhat you will do\n Design and maintain scalable ETL/ELT pipelines that collect and normalise data from diverse vendor systems\n Build and evolve the MindRelay sovereign data lake: schema design, partitioning, and query optimisation\n Develop data models that support operational dashboards, anomaly detection, and AI-powered analysis\n Collaborate with platform and product teams to define data contracts and integration patterns\n Implement data quality checks, monitoring, and alerting on pipeline health\n Document data lineage and contribute to our internal data catalogue\nWhat we are looking for\n 3+ years of experience in data engineering or a related role\n Strong SQL skills and experience with columnar or time-series databases\n Proficiency in Python for data processing and pipeline development\n Experience with Apache Spark, Flink, or similar distributed processing frameworks\n Familiarity with data lake patterns and modern data stack tooling (dbt, Airflow, or similar)\n Solid understanding of streaming vs. batch processing trade-offs\nNice to have\nExperience with SNMP, syslog, or other network telemetry protocols\nBackground in telecom, media, or broadcast industries\nKnowledge of MPEG-2/4 or video streaming quality metrics\nExperience with Elasticsearch or OpenSearch for log analytics\nWhat we offer\n Competitive salary and performance-based bonus\n Hybrid working from our Apeldoorn HQ\n Annual learning budget for courses, certifications, and conferences\n Ownership of a data platform that supports real operational decisions\n Collaborative team culture with direct access to senior engineers\n 25 vacation days and flexible hours\nReady to apply?\nSend your CV and a short motivation to our team. We respond within 5 business days.\n Questions? Email \nOther open positions\nSenior Platform Engineer\nMindRelayApeldoorn / Hybrid\nVideo Operations Engineer\nManaged ServicesApeldoorn\nProject Manager\nSystem IntegrationApeldoorn / Hybrid\nNot the right fit? Let's stay in touch.\nSend an open application and we will reach out when the right opportunity arises.\n Open Application","description_format":"text","description_chars":2754,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecommunications","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-26T21:04:18Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":16,"reasons":["conf:29","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/divitel-data-engineer","json_url":"https://alion.io/job/divitel-data-engineer.json","meta":{"generated_at":"2026-09-28T06:17:48Z","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":4371,"day_limit":5000,"remaining_today":629,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}