{"id":2540756,"url":"https://alion.io/job/page-matrix-data-engineer","title":"Data Engineer","company":{"id":4430251,"name":"page - Matrix","domain":"matrix-ifs.com","url":"https://alion.io/company/matrix-ifs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true}],"status":"live","first_seen_at":"2026-10-14T13:50:56Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T02:21:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Description\nWe are looking for a talented Data Engineer to help shape the next generation of AI-driven financial crime detection solutions.\nIf you have strong data engineering expertise, hands-on experience building and optimizing large-scale data pipelines, and a passion for solving complex real-world challenges, this could be the perfect opportunity for you. In this role, you will design and develop the data foundations that power advanced money laundering detection solutions for leading financial institutions worldwide.\nResponsibilities\nDevelop, implement, and maintain production-grade data pipelines based on data science requirements.\nDesign and build scalable data flows for specific business use cases that can be integrated into the product.\nBuild and maintain machine learning data pipelines.\nCreate tools and frameworks that support data scientists and analytics teams in developing and optimizing innovative solutions.\nCollaborate closely with Product, R&D, Data, and Analytics teams to enhance system functionality and performance.\nTrain customer data scientists and engineers on maintaining and enhancing data pipelines within the platform.\nTravel domestically and internationally to support customers when required.\nBuild and manage strong technical relationships with customers and partners.\nRequirements\n2+ years of hands-on experience with Apache Spark (required).\nStrong experience with SQL.\nExperience using version control systems, particularly Git.\nHands-on experience with the Apache Hadoop ecosystem, including Hive, Impala, Hue, HDFS, and Sqoop.\nExperience with Python (Pandas).\nExperience with PySpark, Scala, Java, or R.\nProven experience in data transformation, validation, cleansing, and machine learning feature engineering.\nBachelor's degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field.\nExperience working with and optimizing large-scale data pipelines, architectures, and datasets.\nStrong analytical skills and experience working with structured and semi-structured data.\nExperience building processes that support data transformation, metadata management, dependency management, and workload optimization.\nAbility to perform root cause analysis on data and processes to answer business questions and identify improvement opportunities.\nStrong customer-facing and cross-functional collaboration skills.\nFluent in English preferredbut not mandatory Spanish\nNice to Have\nExperience working with Linux.\nExperience building machine learning pipelines.\nKnowledge of Elasticsearch.\nExperience with Zeppelin and/or Jupyter.\nFamiliarity with workflow orchestration tools such as Jenkins or Apache Airflow.\nExperience with microservices and containerization technologies, including Docker and Kubernetes.\nWhy Join Us?\nYou’ll work with a talented global team, contribute to meaningful technical initiatives, and help shape a high performing DevOps culture.\nMatrix is a global, dynamic, and fast growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.\nWe specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.\nWith deep expertise across both the private and public sectors-spanning Finance, Telecom, Healthcare, Hi Tech, Education, Defense, and Security-Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.\nAt Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.\nMatrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth-together.\nJoin the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.\nTo learn more, visit: www.matrix-ifs.com","description_format":"text","description_chars":4648,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Spanish","level":"All levels","optional":true},{"language":"English","level":"Advanced (C1)","optional":true}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Professional Services"],"lifecycle":[{"event":"open","at":"2026-10-14T15:30:51Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":13,"reasons":["conf:3","win:early","comp:junior"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/page-matrix-data-engineer","json_url":"https://alion.io/job/page-matrix-data-engineer.json","meta":{"generated_at":"2026-10-15T06:23:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9574,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4430251},"rest":"https://alion.io/mcp/rest/get_company?id=4430251"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpage-matrix-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpage-matrix-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpage-matrix-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/page-matrix-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpage-matrix-data-engineer"}]}