Senior Analytics Engineer, SeQura
Payment-by-instalments platform
Open for applications
Payment-by-instalments platform
201-500 employees
Open for applications
201-500 employees
Company mission
To make payments easy, flexible, and accessible for everyone.
Role
Who you are
- 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory)
- Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks
- Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory)
- Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar)
- Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together
- Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents
- Experience with Python for data tasks is a plus
- Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus
- Fintech or financial services domain knowledge is a plus
- English proficiency required. Spanish is a plus
What the job involves
- We 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
- This 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
- Championing 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
- Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably
- Designing, 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
- Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy
- Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases
- Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team
- Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models
- Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together
- Month 1:
- You'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
- Month 2:
- You'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
- Month 3:
- You'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
- Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse
- Analytics 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
- The 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
Application process
- Interview with People Team
- Hiring Manager interview
- Technical take-home assessment (async)
- Live Peer review of the assessment
- Meet the team
- We kindly ask that you submit your CV in English, as it is the official language of our community
Our take
SeQura is a payment technologies company that helps merchants to acquire, convert and retain their customers. With tailored payment solutions across retail, education, repairs and travel, the company offers payments by instalment plans, interest-free credit and more manageable ways to shop.
With an impressive annual recurring revenue, the company has established itself as a trusted solution for B2C businesses across Europe and Latin America. The likes of Carrefour, Game and Iberia use its platform to grow and incentivise their respective customers, and altogether SeQura reaches more than 2 million international shoppers.
SeQura has secured considerable funding that has supported expansion in US, UK and Germany among others. Its ambitious goal is to double its business volume by 2027 via the development of two new business verticals. These are optiQa, a platform for flexible payments and loyalty programmes in the opticians sector, and eduQa, a platform for flexible education payments.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Nov 2024
$234m
LATE VC
Total funding: $234m
Company benefits
- 23 vacation days + 2 days of free disposal per year
- Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee
- Health insurance discounts with Sanitas and Adeslas
- Hybrid work
- Professional development workshops or seminars tailored to your needs
- Free access to healthy, organic, and sustainable fruits and snacks.
- Urban mobility by using your own bike with Kleta.
Company HQ
Dreta de l'Eixample, Barcelona, Spain
Leadership
David Backstrom
(Co-Founder & CEO)Was the Founder and CEO of European telemedicine clinic and Sparapengar Europe. Also owns Holick Outdoor resort.
Luis Oyaga
(Founding Partner)Also the Founding Partner of AGME Direct. Previously the Director General at CAMERDATA, as well as Director at Schober Information Group and Adigital.
Joaquim Ferrer
(Growth Manager & Founding Partner)Previously CEO at Grupo Intercom, Board Member at InfoJobs.net and a Sales Manager at PAYMA COMUNICACIONES.
Salary benchmarks
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