Data Engineer

Fanduel·Edinburghmid

In short

→Construyes APIs de datos con Python y Flask para recomendaciones en tiempo real.
→Trabajas con pipelines de datos, Kubernetes, API Gateway y bases de datos SQL/NoSQL.
→Destacado: trabajas con modelos de ML y datos a gran escala en una empresa líder del mercado de apuestas deportivas.

Requirements include fluency in English (written and spoken).

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What they ask for

✓Experiencia en desarrollo de APIs REST con Python y Flask.
✓Conocimiento en pipelines de datos en batch y stream.
✓Habilidades en SQL y bases de datos (PostgreSQL o NoSQL/Redis).
✓Experiencia con Kubernetes y despliegue usando ArgoCD.
✓Capacidad de colaborar con equipos de datos, ciencia de datos y productos.
✓Experiencia en código limpio, pruebas y documentación técnica.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonFlaskREST APIKubernetesKONGPostgreSQLNoSQLRedisArgoCDPyspark

Who should you write to at Fanduel?

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FanDuel Group is a world-class team of brands and products that deliver sports betting, gaming and entertainment to millions of US sports fans every day. That’s no easy task and wouldn't be possible without a fantastic team who have helped us pioneer new products and innovative features that make us a leader in the industry. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it We are looking for a Data API Engineer (Software Engineer with interest in Data applications) to join our growing team and help build the Applications with REST API endpoints to provide recommendations based on data pipelines, ML Model and infrastructure that power analytics, machine learning, and drive business and customer insights across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable Fraud recommendation applications while collaborating with stakeholders to support high-impact data use cases. The ideal candidate is a strong technical contributor who enjoys working with building software and data applications at scale, solving practical problems, and continuously learning in a fast-paced environment. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. THE GAME PLAN Everyone on our team has a part to play Build & Maintain Data Pipelines • Design, build, and maintain scalable Python Flask API applications or similar programming languages to achieve low latency response. • Understanding and experience in developing batch and stream data ingestion or developed applications leveraging SQL database like Postrgres DB or NoSQL/Redis DB. • Implemented REST API endpoints on Kubernetes cluster using API Gateway like KONG. • Ensure API response is reliable, accurate, and delivered in a timely manner. • Write clean, efficient, and well-documented code and test cases using tools like Python, SQL, and Pyspark (optional). • Understands containerization and Kubernetes deployment using ArgoCD. Collaborate Across Teams • Partner with Senior Engineers in code reviews, design discussions, planning sessions and team ceremonies, asking questions and sharing ideas • Work with data analysts, data scientists, and product managers to understand requirements andn deliver actionable data solutions • Translate business questions into engineering tasks and contribute to technical planning. • Participate in code reviews, sprint planning, and retrospectives as part of an agile team. Quality & Operations • Monitor applications and troubleshoot issues in a timely, systematic manner • Implement data quality checks and contribute to observability and testing practices • Document data sources, transformations, and architecture decisions to support long-term maintainability PLAYER CONTRACT We treat our team right FanDuel is an equal opportunities employer, and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity,

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