{"id":2632055,"url":"https://alion.io/job/sun-tech-innovation-middle-data-engineer","title":"Middle Data Engineer","company":{"id":4422776,"name":"Sun Tech Innovation","domain":"suntechinnovation.com","url":"https://alion.io/company/suntechinnovation","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":51000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"Flink","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Docker","optional":true},{"name":"Feature Store","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-28T20:48:10Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"About the team\nWe are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time, near-real-time, and batch pipelines. The team is a blend of Python backend engineers, ML engineers, QA (manual and automation), a data engineer, and data scientists. Our shared mandate is to take experimentation from our data scientists and turn it into\nrobust, production-grade systems, either as standalone services or integrated into wider platforms.\nThe role\nYou will build the data pipelines that power our experimentation and production systems, the backbone behind fraud detection, recommendations, and personalization. You will work primarily with Kafka (sometimes Flink), Spark on Databricks, and Airflow, modelling and optimizing data for both experimentation and production serving, and partnering closely with data scientists and backend engineers on data contracts and reliability.\nResponsibilities\nBuild and operate batch and streaming data pipelines (structured & unstructured data)\nWork primarily with Kafka, Spark on Databricks, and Airflow\nModel and optimize data for both experimentation and production serving\nPartner with data scientists and backend engineers on data contracts and reliability\nOwn pipeline quality: testing, monitoring, and performance\nTake part in the teams on-call rotation for the pipelines you build and operate\nRequirements\n3+ years of data engineering or software engineering for data\nStrong Python, including PySpark\nKafka and stream processing\nDatabricks experience\nAirflow or similar orchestration tools\nStrong SQL and data modeling, plus solid relational database skills\nSoftware engineering mindset\nFluent spoken English (at least Upper-Intermediate)\nNice to have\nFlink\nML Feature stores\nMLOps and ML pipeline exposure\nDocker and Kubernetes\nSaaS or high-scale product domain experience\nWhy join us\nWork on high-scale, high-throughput systems\nBroad range of technologies, stacks, and problems\nContribute to turning experimentation into production systems\nA strong engineering culture that values technical depth and ownership\nFlexibility through hybrid and remote working\nA distributed team across Dubai and Europe\nYou will get\nA position in a product development company with a dynamic environment and several concurrent projects;\nContinuous self-improvement and growth, including budget for certifications and courses;\nCompetitive salary plus financial bonuses;\nMedical insurance coverage;\nCompany prepaid AI agent;\nWellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health;\nCorporate events and fun team-building activities.\nRemote-first culture\nInterview Stages\nHR Interview (30-45 minutes) - 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