Big Data Engineer

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November 1

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Inetum

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B2B • Enterprise • SaaS

Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.

10,000+ employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Post-IPO Equity on 2007-03

📋 Description

• Responsible for design, development and operations of large-scale data systems operating at petabytes scale. • Focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. • Interact with engineers, product managers, BI developers and architects to provide scalable robust technical solutions. • Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low-latency, and fault-tolerance. • Experience with Java, Python to write data pipelines and data processing layers. • Experience in Airflow & Github. • Experience in writing map-reduce jobs. • Proven expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase. • Highly Proficient in SQL. • Experience with Cloud Technologies (GCP, Azure). • Experience with relational model, memory data stores desirable (Oracle, Cassandra, Druid).

🎯 Requirements

• Bachelor's degree or engineering degree in one of the following areas: Computer Systems, Computer Science, Information Technology, Software Engineering, Applied Mathematics, Statistics or related field. • At least 4 years of verifiable experience in roles related to Data engineering, Big Data development experience, Large-scale data processing, Data pipeline development. • Use of technologies such as Hadoop, Spark, Kafka, Hive, etc. • English language at conversational level.

🏖️ Benefits

• Benefits above and beyond the legal requirements. • Work flexibility (hybrid/remote). • Access to cutting-edge tools and technologies. • Opportunity for professional growth in high-impact projects.