Senior Backend Engineer, Data

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Design and sustain Databricks and PySpark data pipelines utilizing a medallion-style Bronze/Silver/Gold architecture.

• Establish data quality checks, enforce schemas, and track lineage throughout the pipeline stages.

• Develop and enhance ETL/ELT workflows for large-scale marketing performance data.

• Collaborate with analytics and data science teams to produce clean, well-structured, and accessible data assets.

• Create backend services and APIs in Python using FastAPI, Flask, or similar frameworks.

• Operate within established microservices, domain boundaries, caching, and queuing patterns.

• Facilitate service-to-service communication through REST, gRPC, and event-driven architectures.

• Integrate with external marketing platforms, cloud services, and internal microservices.

• Implement secure authentication, authorization, rate limiting, and multi-tenant access controls.

• Write production-ready code, engage in code reviews, and provide mentorship to other engineers through technical influence.

• Construct and maintain CI/CD pipelines and infrastructure-as-code environments.

• Implement tracing, structured logging, metrics, and alerting mechanisms.

• Optimize services for latency, concurrency, throughput, and cost-effectiveness.

• Contribute to automated testing, load testing, and resilience practices.

• Partner with SRE to define SLIs/SLOs.

• Work alongside product, data, and SRE teams on unified backend designs across campaign activation domains.

⛳️ Requirements

• A minimum of 5 years of experience in backend engineering, data engineering, or distributed systems.

• Strong practical expertise in Python, with familiarity in FastAPI, Flask, or equivalent modern backend frameworks.

• Robust hands-on experience with Databricks and PySpark, particularly with medallion-style (Bronze/Silver/Gold) data architecture, or a keen willingness and ability to learn quickly.

• Solid understanding of microservices, concurrency, asynchronous programming, and event-driven architectures.

• Proficiency in SQL and NoSQL databases, including PostgreSQL, DynamoDB, Redis, MongoDB, or similar technologies.

• Familiar with lakehouse platforms.

• Practical experience with Docker, Kubernetes, and AWS.

• Experience using infrastructure-as-code tools like CloudFormation.

• Strong CI/CD experience, such as with GitHub Actions or Argo.

• Good knowledge of observability practices: logs, metrics, traces, and performance analysis.

• Proven ability to write clean, testable, well-organized production code.

• Fluent in English, both spoken and written.

• Familiarity with AI/LLM systems and agentic workflow integration.

• Experience with streaming or queuing systems like Kafka, Pub/Sub, or SQS.

• Experience with Delta Lake, Unity Catalog, or other lakehouse governance and optimization tools.

• Prior experience with API gateway architectures, caching layers, or service meshes.

• Familiarity with marketing, advertising, or platform APIs and related ecosystems.

🏝️ Benefits

• [List of benefits to be added here]