[Hiring] Expert Data Engineer @Sabenza IT & Recruitment

Role Description

Ready to Build the Data Backbone Behind Next-Generation Technology? If you’re the kind of Data Engineer who gets excited about Kafka, AWS, Python, Java, real-time streaming and solving complex data challenges, this could be your next big opportunity.

We’re looking for an Expert Data Engineer to join a high-performing global technology environment and play a key role in building secure, scalable and intelligent data integration solutions. You won’t just be moving data from A to B. You’ll be designing the pipelines, platforms and integrations that make critical enterprise data available, trusted, discoverable and ready to be consumed in real time.

Qualifications

• Extensive hands-on experience (typically 6+ years) in data engineering, integration or streaming roles with demonstrable production experience.
• Proven track record building and operating streaming platforms (Kafka/MSK) and API-based integrations, with strong Python and Java skills and experience with enterprise databases and query languages.
• Strong analytical thinking, curiosity about data, attention to detail, structured problem solving and ownership — able to drive topics to completion.
• Preferred certifications: Confluent Certified Developer for Apache Kafka, Microsoft streaming eventhubs, AWS Certified Data Engineer.

Requirements

• Hands-on experience with Kafka and event streaming platforms for real-time data movement.
• Proven experience with API integration patterns, webhooks and event/webhook ingestion.
• Strong proficiency in Python for data engineering, ingestion pipelines and automation.
• Strong proficiency in Java for stream processing or connector development.
• Solid competence with enterprise databases and query languages, including performance tuning and query optimization for OLTP/operational workloads.
• Experience with NoSQL/document stores such as Amazon DynamoDB, MongoDB.
• Experience in data modelling to design schemas and standardized data representations.
• Experience with schema registries and contract-first designs (Avro, Protobuf) to manage producer/consumer compatibility.
• Strong understanding and practice of data quality techniques and tooling to ensure trusted data.
• Knowledge of metadata management and cataloging to support discoverability and lineage.
• Familiarity with ETL/ELT patterns and best practices for performant, reliable data pipelines.
• Observability for streaming: experience with metrics, tracing and logging on AWS (CloudWatch, OpenTelemetry, Prometheus/Grafana).

Benefits

• Cutting edge global IT system landscape and processes.
• Flexible working of 1960 hours in a 12-month period.
• High Work-Life balance.
• Remote / On-site work location flexibility.
• Highly motivating, energetic, and fast-paced working environment.
• Modern, state-of-the-art offices.
• Dynamic Global Team collaboration.
• Application of the Agile Working Model Methodology.