Senior Data Engineer

Job not on LinkedIn

🔥 58 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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.

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Huge

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📣 Marketing

🏨 Hospitality

🏭 Manufacturing

Marketing • Hospitality • Manufacturing

Huge is a creative growth acceleration company, dedicated to delivering real-world results for brands and businesses. With a focus on solving pressing challenges, Huge infuses creative capital into its clients' operations, helping them make significant changes that lead to substantial impacts for both the brands and their customers. Their approach combines design thinking, creativity, and technology to unlock growth through Experience Transformation, Technology Realisation, and Growth Creation, ultimately enhancing brand and customer experience, as well as fostering product innovation.

📋 Description

• Build and maintain data pipelines, transformations, and integrations using cloud technologies, SQL, and Python • Implement and support analytics solutions using Adobe Analytics, Adobe Launch, and Adobe Customer Journey Analytics (CJA) • Develop tracking strategies, event collection plans, and technical specifications based on business and measurement requirements • Support data modeling, data validation, data quality, and reporting processes • Work with cloud-based data architectures, including GCP, to support scalable and reliable data workflows • Collaborate with cross-functional teams to integrate data sources and connect analytics implementation with broader data engineering needs • Identify opportunities to improve data governance, pipeline performance, and operational efficiency • Explore opportunities to incorporate AI-driven solutions into data engineering and analytics workflows • Translate technical and business requirements into reliable data solutions and support scalable analytics workflows

🎯 Requirements

• 5+ years of experience in Data Engineering, Analytics Implementation, or a related field • Experience with GCP and cloud-based data solutions, including data pipelines, transformations, orchestration, and scalable architectures • Hands-on experience with Adobe Experience Cloud, particularly Adobe Analytics and Adobe Launch • Experience with Adobe Customer Journey Analytics (CJA) is highly valued • Strong proficiency in SQL and JavaScript • Experience using Python for data processing, automation, or pipeline development • Solid understanding of data warehousing, data modeling, ETL/ELT processes, data structures, and data quality validation • Ability to translate business requirements into tracking strategies, measurement plans, and technical specifications • Understanding of data governance, performance optimization, and reliable data solutions • Exposure to AI / Agentic Engineering and integration of AI-driven solutions into data workflows is a plus • Strong English communication skills (B2/Upper-Intermediate or higher) • Ability to collaborate effectively with technical and business stakeholders • Comfortable working in fast-paced, cross-functional environments • If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license

🏖️ Benefits

• Inclusive employee experience • Equal opportunity employer • Inclusive, barrier-free recruitment and selection process and work environment • Confidential accommodation support for a fair and equitable recruitment process • Recruitment fees paid by workers will be repaid

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