Senior Backend Engineer, Data

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jaydhub

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

jaydhub is a Portugal-based digital transformation and innovation studio that builds and accelerates digital hubs, drives cultural transformation, and helps companies adopt the right digital technologies and new ways of working. The company emphasizes people-centered change, combining technology, creativity, and an innovation methodology to boost and scale innovation, improve company behaviors through rituals and tools, and deliver value to customers.

📋 Description

• Build and maintain Databricks and PySpark data pipelines using medallion-style Bronze/Silver/Gold architecture, data quality checks, schema enforcement, and lineage tracking • Build and optimize ETL/ELT workflows for large-scale marketing performance data • Collaborate with analytics and data science teams on clean, well-modeled data assets • Build backend services and APIs in Python using FastAPI, Flask, or equivalent frameworks • Implement service-to-service communication using REST, gRPC, and event-driven patterns • Integrate with external marketing platforms, cloud services, and internal microservices • Implement authentication, authorization, rate limiting, and multi-tenant access controls • Write production-ready code, participate in code reviews, and mentor engineers through technical influence • Build and maintain CI/CD pipelines and infrastructure-as-code environments • Implement tracing, structured logging, metrics, and alerting • Optimize services for latency, concurrency, throughput, and cost efficiency • Contribute to automated testing, load testing, and resiliency practices with SRE • Collaborate with product, data, and SRE teams on backend designs across campaign activation domains

🎯 Requirements

• At least 5 years of experience in backend engineering, data engineering, or distributed systems • Meaningful contributions to the design of services or pipelines • Strong hands-on expertise in Python and modern backend frameworks such as FastAPI or Flask • Strong hands-on proficiency with Databricks and PySpark • Practical experience with medallion-style Bronze/Silver/Gold data architecture, or strong willingness and aptitude to learn it quickly • Understanding of microservices, concurrency, asynchronous programming, and event-driven architectures • Proficiency with SQL and NoSQL databases such as PostgreSQL, DynamoDB, Redis, or MongoDB • Familiarity with lakehouse platforms • Hands-on experience with Docker, Kubernetes, and AWS • Experience with infrastructure-as-code tooling such as CloudFormation • Strong CI/CD experience with GitHub Actions, Argo, or similar tools • Working knowledge of observability practices including logs, metrics, traces, and performance analysis • Ability to write clean, testable, well-structured production code • Fluent English, verbal and written • Familiarity with AI/LLM systems, streaming or queuing systems, Delta Lake, Unity Catalog, API gateways, caching layers, service meshes, or marketing and advertising APIs would be advantageous