What you'll do Architect and Build: Design, implement and maintain scalable microservices using Python (FastAPI/Django). Take ownership of breaking down complex monoliths or building new services from scratch applying DDD principles. Master the Event Stream: Build robust event‑driven flows with Kafka. Ensure events are durable, ordered and idempotently processed while managing eventual consistency with care. Integrate at Scale: Design fault‑tolerant integrations with third‑party ecosystems (Meta Ads, Google Marketing Platform, Salesforce). Navigate rate limits, retries and circuit breakers to maintain platform stability even when external APIs are unpredictable. Bridge OLTP and OLAP: Work at the intersection of transactional applications and analytical data. Optimize PostgreSQL for operational efficiency while designing ingestion pipelines for Snowflake and Elasticsearch using Airflow and dbt. Productionize Data Capabilities: Partner closely with Data Science, Machine Learning and Data Engineering teams to ensure seamless integration of data sources and model infrastructure. Elevate the Bar: Lead thorough code reviews, write RFCs for key technical decisions and mentor mid‑level engineers. Champion testing strategies (unit, integration, contract testing) and advocate for clean, sustainable code architecture. What we're looking for Python Proficiency: Confident working deeply in Python. Understand topics like the GIL, concurrency (asyncio), generators, decorators and care about maintainable typing and thoughtful performance optimization. Architecture Patterns: Design systems that are easy to evolve and test. Comfortable applying Hexagonal Architecture to keep domain logic clean and decoupled and leveraging patterns like CQRS and Transactional Outbox to support consistency and reliability in an event‑driven environment. Database Polyglot:



Strong SQL fundamentals and know how to design for performance (PostgreSQL internals, indexing strategies). Understand when tools like Redis (caching) or Elasticsearch (search/aggregations) are the right fit. Communication: Communicate clearly in English across audiences from engineers to non‑technical stakeholders and explain decisions in a structured way backed by data and sound reasoning. Pragmatic mindset: Balance quality with impact. Make thoughtful trade‑offs, deliver iteratively and keep an eye on long‑term sustainability while moving at a good pace. Bonus points for AdTech / MarTech Experience: Familiarity with APIs from major marketing or CRM platforms (Meta, Google, Salesforce, Marketing Cloud). Infrastructure as Code: Experience defining infrastructure using Terraform or AWS CDK. Data Engineering Crossover: Experience with data pipelines (Airflow, dbt) or data modeling in warehouse environments like Snowflake or BigQuery. ML & Internal Products: Experience building data or ML‑powered internal services or automation platforms. Production Engineering: Experience with containerization (Docker) and orchestration (Kubernetes). Comfortable debugging production issues using monitoring tools (Datadog, Prometheus, Grafana). Open Source: History of contributing to open‑source projects or maintaining own libraries. The environment Fast‑moving impact‑focused and tech‑driven team that partners closely with Data Science and Data Engineering. Deep care for clean,



maintainable code and building solutions that last. Prefer sustainable improvements over quick fixes. Strong sense of ownership: engineers take ideas from design through delivery and support services in production as they are adopted across teams. Collaboration at the core: product engineering and data functions team up to turn ideas and models into reliable user‑facing capabilities. Benefits & Perks Responsibility from day one and professional and personal growth. Opportunity to have a real impact in a high‑growth global category leader. Compensation package: base salary (50,000–70,000 EUR) with potential to earn a significant bonus for top performance. Stock options plan. 40 % discount on all Fever events and experiences. Home‑office friendly location in Madrid or Barcelona required. Health insurance and adaptable remuneration with a 100 % tax exemption through Cobee. English/Spanish lessons. Wellhub Membership. Opportunity to receive part of your salary in advance through Payflow. Total compensation: 70,000–90,000 EUR (including base, variable and stock options). About the process Fever aims to provide the best‑fastest possible experience to our candidates. This is how it would look like: Talent Interview – 45 min: Intro to Fever, our culture and a conversation about your background and experience. Technical Interview – 2 h: In‑depth discussion about a technical challenge from architecture to coding details. Engineering Manager Interview – 1 h: Deep dive into your background and what you can expect on your day‑to‑day at Fever. Required Experience: Senior IC Key Skills: Children Activity, Baan, English Language, Accounting And Auditing, Database, Dynamics Employment Type: Full Time Experience: years Vacancy: 1 #J-18808-Ljbffr

📌 Senior Software Engineer Data Team - €50.000 - €70.000 A Year (Madrid)
🏢 FeverUp
📍 Madrid