{"id":2146605,"url":"https://alion.io/job/sequra-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":53725,"name":"SeQura","domain":"sequra.com","url":"https://alion.io/company/sequra","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":90000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-06-30T07:37:58Z","employer_posted_date":"2026-06-30","last_verified_at":"2026-10-16T19:39:53Z","board_verified":true,"closed_at":null,"days_open":108,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":107},"description":"About seQura\nseQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.\nWe make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.\nWe also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.\nBorn in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.\nOver 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.\nAbout the role\nWe are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains - building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models.\nThis role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team.\nRequirements\nWhat challenges you'll be solving\nChampioning a single source of truth for core business metrics - unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing.\n\nBuilding domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably.\n\nDesigning, building, and shipping production-grade dbt models across multiple business domains - Payments, Debt Collection, Risk, and Finance - writing clean, well-tested, and well-documented SQL.\n\nOwning the governance layer: data contracts, column-level lineage, tests, and semantic definitions - not just shipping models, but making them trustworthy.\n\nStructuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases.\n\nSetting and upholding standards for testing, documentation, and data quality across the analytics engineering team.\n\nCollaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models.\n\nMaking cross-domain architectural decisions with a systems mindset - thinking beyond individual models to how the full data layer fits together.\n\nAbout the Data team\nTeam mission\nTo turn seQura's raw data into trusted, well-governed data products that power decision-making across the company.\nThe team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions.\nWhat we own\nThe dbt transformation layer across business domains\n\nThe Single Source of Truth (SSOT) for key business metrics\n\nSemantic models that enable consistent reporting and analytics\n\nData contracts and governance standards across domains\n\nData lineage, documentation, and discoverability\n\nData quality, testing, and monitoring to ensure trusted data products\n\nTeam Structure\nThe Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data.\nThe team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume.\nHow we work\nProduct mindset: we treat datasets as products, with clear ownership, quality standards, and consumers.\n\nStrong focus on data governance, documentation, and discoverability.\n\nCollaboration with business stakeholders to translate operational concepts into trusted data models.\n\nAnalytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture.\n\nContinuous improvement through testing, observability, and reusable modeling patterns.\n\nWhat to expect in the next 90 days\nMonth 1:\nYou'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality.\nMonth 2:\nYou'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency.\nMonth 3:\nYou'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization.\nTech stack & environment \nOur modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse.\nAnalytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products.\nThe team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura.\nWhat you’ll need\n5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory).\n\nGenuine curiosity about the business domains you model - you want to understand what decisions are made using the data not just how the data looks\n\nStrong hands-on dbt experience: modeling, testing, data contracts, documentation - not just running dbt, but understanding how to design a reliable model layer (mandatory).\n\nExpert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar).\n\nSystems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together.\n\nSemantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents.\n\nExperience with Python for data tasks is a plus.\n\nFamiliarity with data governance and lineage tooling (OpenMetadata or similar) is a plus.\n\nFintech or financial services domain knowledge is a plus.\n\nEnglish proficiency required. Spanish is a plus.\n\nWhat we offer\nWe have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.\nOne of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.\nIn addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.\n23 vacation days + 2 days of free disposal per year.\n\nFlexible compensation plan for transportation, restaurants, and kindergarten with Cobee.\n\nHealth insurance discounts with Sanitas and DKV.\n\nFlexible working hours.\n\nA personal budget for professional development.\n\nOffice workshops and meet-ups to encourage community participation and career growth.\n\nHybrid or remote work (up to 2 hours difference from GMT+2).\n\nMoreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.\nWhich are the next steps?\nInterview with People Team\n\nHiring Manager interview\n\nTechnical take-home assessment (async)\n\nLive Peer review of the assessment\n\nMeet the team\n\nWe kindly ask that you submit your CV in English, as it is the official language of our community.\nWe promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.\nDo you want to be part of the change? Join us!","description_format":"text","description_chars":9391,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule","Health insurance","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-09T04:27:24Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.484,"p_room":0.28,"age_days":107,"expected_fill_days":37,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sequra-senior-analytics-engineer","json_url":"https://alion.io/job/sequra-senior-analytics-engineer.json","meta":{"generated_at":"2026-10-16T22:19:50Z","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":3919,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":53725},"rest":"https://alion.io/mcp/rest/get_company?id=53725"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsequra-senior-analytics-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%2Fsequra-senior-analytics-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%2Fsequra-senior-analytics-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/sequra-senior-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsequra-senior-analytics-engineer"}]}