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Senior Data Engineer (Spark/Kafka/Hadoop) - Hybrid Lisbon (3 days/week office)
HumanIT Digital Consulting
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 19
About this role
Senior Data Engineer (Spark/Kafka/Hadoop) - Hybrid Lisbon (3 days/week office) ABOUT THE OPPORTUNITY Join the marketing technology division of a global technology leader. Its platforms power marketing measurement, customer insights and campaign optimization for businesses worldwide. As a Senior Data Engineer, you’ll design, build and operate scalable data platforms and pipelines at enterprise scale. You’ll also influence future-state data architecture and help accelerate an ongoing cloud transformation. This is a 12-month project starting in November 2026. PROJECT & CONTEXT • Build batch, streaming and real-time data pipelines for business-critical products in campaign measurement, reporting, customer insights and AI/ML. • Develop reusable frameworks for data ingestion, transformation, orchestration and delivery across data lake, warehouse and lakehouse environments. • Support the modernization and cloud migration of legacy platforms toward cloud-native architectures. • Strengthen data quality, observability, governance, lineage and security across the data ecosystem. • Mentor engineers, lead root-cause analysis on complex production issues and contribute to architectural decisions and technology roadmaps. • Work in close partnership with Product, Engineering, Data Science, Analytics and Business stakeholders. • The work model is hybrid, with 3 days per week on-site in Lisbon and regular working hours. The selection process includes an interview with the client. WHAT WE’RE LOOKING FOR (Required) • Extensive experience designing and building scalable data platforms and distributed data processing solutions • Strong expertise in Apache Spark, Apache Kafka, the Hadoop ecosystem, cloud-native data services and large-scale data processing frameworks • Proficiency in one or more of the following: Python, Java, Scala or SQL • Experience developing data pipelines for analytics, reporting, machine learning and operational data products • Deep understanding of data modeling, ETL/ELT design patterns, data architecture and data lifecycle management • Experience building and supporting solutions on AWS, Azure or GCP • Knowledge of data governance, security, privacy, lineage, metadata management and regulatory compliance • Experience with CI/CD, DevOps automation, Infrastructure-as-Code and observability frameworks • Proven experience leading technical initiatives, influencing architectural decisions and mentoring engineers • Strong communication and stakeholder management skills across engineering, product, analytics and business teams • Bachelor’s degree in Computer Science, Engineering, Information Systems or a related field • Fluent English, written and spoken NICE TO HAVE (Preferred) • Advanced degree (MSc or equivalent) Compensation: €1700 – 2300 €/month net, depending on experience and seniority level. Why HumanIT people stay (4.4 Glassdoor, 89% recommend) • 15th month salary • Health insurance covering your family • Birthday off • Mobility program for digital nomads • Real work-life balance Full benefits: https://www.humanit.pt/careers/#perks What it’s really like: https://www.humanit.pt/careers/#work-at