Senior Backend Engineer, Data

🔥 38 minutes ago

🇵🇹 Portugal – Remote

💵 €70k - €75.6k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 • Implement data quality checks, schema enforcement, and lineage tracking • Build and optimize ETL/ELT workflows for marketing performance data at scale • 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 microservices, domain-boundary, caching, and queuing patterns • Build 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 • Partner with SRE on SLIs/SLOs and collaborate with product, data, and SRE teams on backend designs

🎯 Requirements

• At least five years of experience in backend engineering, data engineering, or distributed systems • Strong, hands-on expertise in Python, with experience in FastAPI, Flask, or equivalent modern backend frameworks • Strong, hands-on proficiency with Databricks and PySpark, including practical experience with medallion-style (Bronze/Silver/Gold) data architecture, or strong willingness and aptitude to pick it up quickly • Solid understanding of microservices, concurrency, async programming, and event-driven architectures • Proficiency with SQL and NoSQL databases, including PostgreSQL, DynamoDB, Redis, MongoDB, or similar • 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 • Good working knowledge of observability practices, including logs, metrics, traces, and performance analysis • Proven ability to write clean, testable, well-structured production code • Fluent in English, both verbal and written • Familiarity with AI/LLM systems and agentic workflow integration is a plus • Experience with Kafka, Pub/Sub, or SQS is a plus • Experience with Delta Lake, Unity Catalog, or other lakehouse governance and optimization tools is a plus • Prior experience with API gateway architectures, caching layers, or service meshes is a plus • Familiarity with marketing, advertising, or platform APIs is a plus

🏖️ Benefits

• Continuous learning and knowledge sharing • Diversity and inclusion-focused company culture