{"id":2097872,"url":"https://alion.io/job/fadata-senior-data-engineer","title":"Senior Data Engineer","company":{"id":55512,"name":"Fadata","domain":"fadata.eu","url":"https://alion.io/company/fadata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":109000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Dimensional Modeling","optional":true}],"status":"live","first_seen_at":"2026-10-08T08:50:17Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-08T17:25:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview\nAt Fadata, we take pride in our ability to adapt quickly to the ever-changing needs of our market and customers. This means that you, too, should be ready to embrace change as circumstances evolve. If you'reexcited about a fast-paced, dynamic environment where strategy is set but flexibility to grow with the market remains, then hit the apply button. We have a bold vision: to become the global standard for core software solutions in the insurance industry. Our aim is to achieve this by developing a truly cloud-native solution that can scale limitlessly-and we want you to be part of that journey. \nOur values-Trust, Openness, Passion, Innovation, and Care-serve as our guiding compass. They shape how we work every day, our relationships with clients, and the way we collaborate as a team.\nOpportunity\nWe are looking for a Data Engineer to design, build, and scale our data platform as a core enabler of Fadata’sAI and Data strategy.In this role, you will be responsible for developing robust data pipelines, ensuring high-quality and accessible data, and supporting advanced data use cases. You will work closely with Data Architects and Subject Matter Experts (SMEs) to ensure data solutions are aligned with business domains, architecture standards, and enterprise data strategy.\nThis position is critical in bridging operational systems (including legacy and microservices architectures) with modern data platforms, as our engineering teams are transforming core systems into cloud-native architectures.\nYour responsibilities\nCurate, Catalog & Understand Our DataDocument and curate our current data assets - building a governed, trustworthy map of the estate that is usable across the company.\nProfile data by domain and version: what tables and columns exist, what is actually used, and where there is redundancy or refactor potential.\nHelp classify and protect PII and sensitive data before any change is made.\nContribute to data quality, validation, lineage, and governance practices.\nIntegration & ArchitectureIntegrate data solutions with microservices and event-driven architectures.\nCollaborate with Data Architect to evolve the data platform and architecture roadmap, aligned with cloud-native, AI enabled and SaaS transformation initiatives\nWork with APIs, messaging systems, and distributed data processing frameworks.\nUnderstand, document and enhance our current data deployments\nGet the best from our liquibasesetup\nBuild modern data assets & modern deliverable mechanismsUnderstand our current data model, working domain by domain with SMEs.\nSupport the design of the reporting & data-sharing data models and pipelines\nApply columnar data formats and analytical data frameworks where they add value\n AI Knowledge-Base PipelinesDesign, build, and maintain Retrieval-Augmented Generation (RAG) pipelines and architectures.\nImplement data ingestion, chunking, embedding, indexing, and retrieval mechanisms.\nWork with vector databases and search technologies to enable trustworthy semantic retrieval for our agents.\nEnsure data used in AI systems is accurate, relevant, and up to date.\nCollaborate with Data Architect and SMEs to define knowledge boundaries and context relevance.\n Toward Reportable Data & Analytics (Growth Area)Help us build a path toward more “reportable” data - applying ETL/ELT to move from operational data toward aggregated, analysis-ready datasets.\nContribute to a reporting/aggregation layer and, over time, data lake and warehouse foundations.\n CollaborationWork cross-functionally with Engineering, Architecture, Product, and Business teams.\nContribute to best practices, standards, and documentation across the data function.\nWhat you bring to the table\n5+ years of experiencein data engineering or backend engineering with data focus.\nPython. Strong programming skills; this is our primary stack.\nSQL and PL/SQL. Solid hands-on experience writing, reading, and refactoring database models and logic (Oracle).\nHands-on experience with data pipeline tools(e.g., Airflow, Spark, Kafka, Flink).\nExperience with cloud data services(AWS, Azure, or GCP).\nFamiliarity with ETL/ELT processesand data integration patterns.\nKnowledge of distributed systemsand event-driven architectures.\nRAG / vector fundamentals. understanding of embeddings, vector stores, and retrieval concepts (or a clear aptitude to pick them up).\nEngineering discipline. Version control, testing, CI/CD awareness, and clean documentation.\nMindset. Strong problem-solving and analytical skills, and comfort bringing order to legacy systems of unknown status.\nNice to Have\nGoverned environments- Experience working closely with Data Architects or within governed data environments.\nData lakes & warehousing- basics of analytical data platforms and dimensional modelling.\nData science basics- enough to collaborate on insights and analytics use cases.\nData governance & cataloguing tools- lineage, cataloguing, and metadata management.\nDistributed / event-driven architecturesand pipeline tooling (e.g. Airflow, Spark, Kafka).\nEnterprise or insurance domain- exposure to complex enterprise systems, insurance, or financial services.\nWhy you should join us\nBecome part of a fast-growing insurance software vendor with multinational teams across Europe - we actually have+15 nationalities in our company\nReceive a competitive remuneration package together with great opportunities for personal and professional growth\nA positive company culture built around people's wellbeing\nNo meetings time when we can focus on our main tasks\nWork in a dynamic environment with an exceptional team that is always ready to help\nA half-day off the second Friday of the month, so you focus on passion projects, boost your creativity or spend time with your loved ones\nIf you are interested in this role, we will be glad to hear from you.","description_format":"text","description_chars":5838,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["InsurTech"],"lifecycle":[{"event":"open","at":"2026-10-08T17:25:33Z"}],"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":23,"reasons":["conf:7","win:early"],"computed_at":"2026-10-09T00:54:46Z"},"pay":null,"html_url":"https://alion.io/job/fadata-senior-data-engineer","json_url":"https://alion.io/job/fadata-senior-data-engineer.json","meta":{"generated_at":"2026-10-09T00:54:46Z","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","counted_by":"address","units_charged":1,"used_today":1368,"day_limit":5000,"remaining_today":3632,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":55512},"rest":"https://alion.io/mcp/rest/get_company?id=55512"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffadata-senior-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%2Ffadata-senior-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%2Ffadata-senior-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/fadata-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffadata-senior-data-engineer"}]}