{"id":1002484,"url":"https://alion.io/job/satori-analytics-data-engineer-2","title":"Data Engineer","company":{"id":7649,"name":"Satori Analytics","domain":"satorianalytics.com","url":"https://alion.io/company/satori-analytics","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":["GB","CH","GR"],"hiring_countries_total":3,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-15T21:03:20Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":46},"description":"At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands thought Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle-from ingestion to AI applications.\nAs a fast-growing scale-up, our team of 100+ tech specialists-including Data Engineers, Data Scientists, and more-delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!\nWe're looking for a Data Engineer to design, build, and operate the scalable data platforms behind global payments & financial services leader's marketing products. You'll enable campaign measurement, customer insights, reporting, and AI/ML initiatives - partnering with Product, Engineering, Data Science, and Business stakeholders to turn complex data challenges into secure, reliable, high-quality solutions at enterprise scale.\nYour Day will Look Like:\nIndependently design and maintain scalable ETL pipelines within a collaborative project team, delivering clean, analytics- and AI-ready data\nWork with SQL, Python, PySpark and tools like MS Fabric, Azure Data Factory, Databricks, Snowflake to develop, optimize, and automate data processes\nDesign robust ETL, scalable data models and optimised design patterns for analytics and BI workloads\nEnsure data quality and data governance through automated checks, monitoring, source to target mapping, data lineage and continuous improvements\nCollaborate with cross-functional teams to understand data requirements, business semantics and deliver high-quality solutions\nTroubleshoot, optimize, and support production pipelines to keep data flowing smoothly\nUse Git and Agile practices to work effectively in collaborative, iterative projects\nRequirements\nYour Superpowers\nBSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field.\nMinimum 3 years of experience designing and building scalable data platforms and distributed data-processing solutions.\nStrong expertise across modern data engineering technologies - Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks.\nProficiency in one or more of Python, Java, Scala, or SQL.\nDeep understanding of data modelling, ETL/ELT design patterns, data architecture, and data lifecycle management, with a track record building pipelines for analytics, reporting, ML, and operational data products.\nHands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.\nSolid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.\nExperience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.\nStrong problem-solving skills for diagnosing complex issues in distributed environments, plus the judgement to balance technical excellence with business priorities.\nBenefits\nCompetitive Salary - A rewarding package that reflects your skills and experience.\n Flexible Working - Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).\nHealth & Wellness Benefits - Private insurance, top-tier tech gear, and the chance to work with a stellar crew.\n Learning & Development - Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) - whether it’s certifications or courses, we’ve got you covered.\nCareer Growth - Clear opportunities to develop your skills and progress within the company.\nGreat Team & Culture - Work with talented, supportive people in a collaborative environment.\nTeam Events & Perks - Enjoy social events, celebrations, and exclusive employee benefits.\nModern Tools & Technology - Everything you need to do your best work.\n A Workplace That Values You - Your ideas, contribution, and well-being genuinely matter.\nReady to create some data magic with us? 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