{"id":1606603,"url":"https://alion.io/job/knowmad-mood-senior-data-engineer","title":"Senior Data Engineer","company":{"id":53695,"name":"Knowmad Mood","domain":"knowmadmood.com","url":"https://alion.io/company/knowmad-mood","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":80,"open_postings":53,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Las Rozas de Madrid, Spain"],"countries":["ES"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":114000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2127},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true}],"status":"live","first_seen_at":"2026-09-30T15:00:27Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-12T04:32:54Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"We are knowmad mood!\nWe are a leading digital transformation company, constantly evolving and at the forefront of technology.\nMade up of over 3,000 creative, digital, and innovative people connected by a purpose and capable of creating connections with people all around the world. A responsible, flexible team with high adaptability to the needs of our clients and the market, while providing value, vision, creativity, expertise, professionalism, and passion for technology in every project.\nThe values that guide our path and lead us to excellence are collaboration, innovation, commitment, fun, and trust.\nJoin our team as a Senior Data Engineer and enjoy an innovative and collaborative work environment.\nKey Responsibilities:\nDesign, develop, and optimize large-scale data pipelines using Apache Spark and Python/PySpark.\n\nCreate reliable, reusable, and well-structured datasets for business and analytical consumption.\n\nDevelop and maintain cloud-based data solutions on Microsoft Azure.\n\nProcess, transform, store, and expose data efficiently across different platforms and applications.\n\nImplement data quality controls, validation processes, monitoring, and documentation standards across data pipelines.\n\nCollaborate with Data Engineering, Data Science, Architecture, and business teams to understand requirements and deliver practical data solutions.\n\nContribute to engineering best practices related to code quality, testing, version control, CI/CD, and automation.\n\nApply data governance, data cataloging, and data quality monitoring practices to ensure trusted and compliant data assets.\n\nParticipate in the design of scalable cloud-based data architectures.\n\nProfessional Experience:\n5+ years of experience in Data Engineering.\n\n5+ years of hands-on experience with Apache Spark using Python/PySpark in production environments.\n\nProven experience building and maintaining production-grade data pipelines in large-scale or complex data ecosystems.\n\nStrong understanding of dimensional data modeling and data warehouse design principles.\n\nExperience designing scalable cloud-based data architectures.\n\nAbility to provide technical guidance and support on ETL/ELT best practices and data engineering standards.\n\nNice to Have:\nExperience with Databricks, Delta Lake, Unity Catalog, and Databricks Workflows.\n\nHands-on experience delivering data engineering solutions using Azure Databricks.\n\nFamiliarity with data governance and data cataloging frameworks.\n\nWhat do we offer?\n-Permanent contract\n-Remote work model . Option to go to the office, but always at the employee's choice.\n-Flexible hours : flexible schedule, start at 8:30 am, finish at 6 pm, with intensive Fridays from 8 am to 3 pm, and in summer (July and August) intensive from 8 am to 3 pm.\n-Vacation : 22 vacation days + 2 personal days, plus December 24th and 31st off.\n-Permanent contract : from day one, with the option of 12 or 14 payments.\n-Flexible compensation : Restaurant card, childcare voucher, health insurance, training, and other benefits with tax advantages.\n-Perks club : Discounts on technology, leisure, and training.\n-Continuous training : Access to Udemy Business, language courses, official certifications, and technical training.\n-Career plan : Support to grow, specialize, or take on new challenges.\n-Overall well-being : Nutrition programs, physical activity, and emotional balance.\n-Work-Life Balance +LIFE : 24/7 personal and family support.\n-Inclusive Environment : Diverse and multicultural setting.\n-Social Events : Activities to connect with the team.\n-Sign up and we’ll give you more details!\nTo stay updated on our news, follow us here -> knowmad mood\nAt knowmad mood we are committed to equal opportunities and respect for diversity. 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