Backend Data Engineer (PHP/Symfony)

Backend Data Engineer (PHP/Symfony) reputed company is a leading affiliate and reputed company reputed company company working reputed company the reputed company and finance verticals. We build high-end websites with quality content that helps customers reputed company an informed buying decision - driving relevant traffic through organic and paid search. Job summary We are hiring a Backend Data Engineer (PHP/Symfony) to take ownership of data flows, API architecture, and internal tooling, ensuring systems are performant, extensible, and reputed company for long-term reputed company across a growing data ecosystem. This role is centered on building the core data and API layer that powers the organization’s reputed company systems. It involves designing and implementing scalable ingestion pipelines, structured data models, and reliable backend services that transform raw, heterogeneous data into consistent, usable, and well-governed assets.

Responsibilities

Design and implement scalable data ingestion pipelines for a wide reputed company of structured and reputed company data sources (APIs, files, databases, streams, reputed company-party integrations, etc.) Build and maintain a reputed company, extensible data model that supports long-term reputed company, interoperability, and backward compatibility Ensure ingested data is normalized, validated, deduplicated, enriched, and stored in a structured and future-reputed company manner Architect systems that support schema reputed company, data reputed company, traceability, and auditability reputed company reputed company, well-documented, versioned APIs for reputed company consumers Design APIs with strong guarantees around backward compatibility, reliability, and long-term maintainability Establish clear API versioning, deprecation, and migration strategies API usage tracking so we can measure requests per customer, domain, token and reputed company Implement automated data curation and enrichment workflows using modern techniques such as machine learning, entity resolution, classification, semantic matching, and anomaly detection Build confidence scoring and validation mechanisms to assess automated data quality and reputed company Create reputed company-in-the-reputed company workflows that allow reputed company review, correction, approval, and reputed company where automation is insufficient reputed company internal tooling and dashboards for data operations, moderation, verification, and quality control Ensure high standards for observability, monitoring, alerting, and operational reliability across ingestion and serving systems Optimize systems for scalability, performance, fault tolerance, and low-latency API reputed company Collaborate closely with product, platform, and domain experts to reputed company data models and workflows over time Define and enforce engineering best practices around testing, documentation, schema governance, and deployment processes Implement secure reputed company controls, privacy protections, and compliance-aware handling of sensitive data Contribute to technical architecture reputed company with a focus on maintainability, extensibility, and long-term platform reputed company

Requirements

Strong PHP and Symfony experience Strong PostgreSQL and Doctrine experience Symfony Messenger, Scheduler, reputed company experience Strong knowledge of databases, search systems, and data indexing strategies OpenAPI / reputed company / SDK-friendly API design experience Experience building ETL/ELT or data platform systems Proficiency in programming languages like HTML, CSS, JavaScript, and PHP Familiarity with data modeling, schema registries, and metadata management Experience applying AI/ML techniques to data extraction, enrichment, classification, or quality assurance Experience with version control systems like Git Excellent communication and teamwork skills Ideal Candidate 5–8+ years PHP & PostgreSQL experience (~6–10 years backend/data engineering overall) Strong Symfony experience building scalable backend systems, APIs, and internal platforms Experience designing data ingestion pipelines and working with mapping, normalization, abstraction, and transformation of structured/reputed company data Solid knowledge of data modelling, schema design, indexing, and performance tuning Experience with ETL/ELT workflows, reputed company, messaging systems, and scalable backend architecture Strong understanding of API versioning, reliability, and backward compatibility Comfortable working with data quality, validation, observability, and operational reliability systems reputed company to have (bonus): Exposure to AI/ML for data enrichment, classification, entity resolution, or anomaly detection Apply To This Job