Backend Data Engineer (PHP/Symfony)

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    "datePosted": "2026-05-18",
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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Growth Leads is a leading affiliate and lead generation company working within the iGaming and finance verticals. We build high-end websites with quality content that helps customers make an informed buying decision - driving relevant traffic through organic and paid search.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; font-weight: bold\">About the role</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are hiring a <span style=\"font-weight: bold\">Backend Data Engineer (PHP/Symfony)</span> to take ownership of data flows, API architecture, and internal tooling, ensuring systems are performant, extensible, and built for long-term evolution across a growing data ecosystem.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">This role is centered on building the core data and API layer that powers the organization’s internal and external 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.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; font-weight: bold\">What you'll do</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Design and implement scalable data ingestion pipelines for a wide range of structured and unstructured data sources (APIs, files, databases, streams, third-party integrations, etc.)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build and maintain a canonical, extensible data model that supports long-term evolution, interoperability, and backward compatibility</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure ingested data is normalized, validated, deduplicated, enriched, and stored in a structured and future-proof manner</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Architect systems that support schema evolution, data lineage, traceability, and auditability</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Develop stable, well-documented, versioned APIs for internal and external consumers</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Design APIs with strong guarantees around backward compatibility, reliability, and long-term maintainability</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Establish clear API versioning, deprecation, and migration strategies</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">API usage tracking so we can measure requests per customer, domain, token and endpoint</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Implement automated data curation and enrichment workflows using modern techniques such as machine learning, entity resolution, classification, semantic matching, and anomaly detection</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build confidence scoring and validation mechanisms to assess automated data quality and integrity</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Create human-in-the-loop workflows that allow manual review, correction, approval, and intervention where automation is insufficient</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Develop internal tooling and dashboards for data operations, moderation, verification, and quality control</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure high standards for observability, monitoring, alerting, and operational reliability across ingestion and serving systems</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Optimize systems for scalability, performance, fault tolerance, and low-latency API access</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Collaborate closely with product, platform, and domain experts to evolve data models and workflows over time</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define and enforce engineering best practices around testing, documentation, schema governance, and deployment processes</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Implement secure access controls, privacy protections, and compliance-aware handling of sensitive data</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Contribute to technical architecture decisions with a focus on maintainability, extensibility, and long-term platform evolution</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; font-weight: bold\">What we're looking for</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">5–8+ years PHP &amp; PostgreSQL experience (~6–10 years backend/data engineering overall)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong Symfony experience building scalable backend systems, APIs, and internal platforms</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience designing data ingestion pipelines and working with mapping, normalization, abstraction, and transformation of structured/unstructured data</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Solid knowledge of data modelling, schema design, indexing, and performance tuning</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with ETL/ELT workflows, Redis, messaging systems, and scalable backend architecture</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong understanding of API versioning, reliability, and backward compatibility</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Comfortable working with data quality, validation, observability, and operational reliability systems</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proficiency in programming languages like HTML, CSS, JavaScript, and PHP</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Familiarity with data modeling, schema registries, and metadata management</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience applying AI/ML techniques to data extraction, enrichment, classification, or quality assurance</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Exposure to AI/ML for data enrichment, classification, entity resolution, or anomaly detection</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt; font-weight: bold\">What we offer</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Flexibility: Remote working environment, or come join us at our office in Malta</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Career Advancement: Work alongside driven colleagues in a businesses on a strong upwards trajectory that rewards entrepreneurial and ambitious thinking</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Competitive Compensation: We offer competitive compensation packages, with opportunities for performance-based incentives</span></li>\n</ul>",
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