Data Engineer

ORYVSYS

Data Engineer

We are seeking a highly skilled and experienced Data Engineer to lead the architecture, design, and deployment of our enterprise data infrastructure. You will bridge the gap between data engineering, backend services, and machine learning

operations (MLOps).

Key Responsi

Pipeline Architecture: Architect and build highly scalable, fault-tolerant ETL/ELT pipelines from scratch.

Big Data Ecosystems: Design and manage open-source big data environments using Hadoop, Apache Spark, Kafka, and
NiFi for high-throughput, real-time, and batch data processing.

Backend & API Integration: Lead backend development for data serving using Python FastAPI and Spring Boot. Secure
APIs utilizing OAuth2 protocols.

e = Orchestration & Transformation: Utilize Apache Airflow for complex workflow orchestration and dbt for robust data transformation.

DevOps & Infrastructure: knowledge in Docker and Kubernetes. Leverage deep knowledge of Linux commands and network configurations for seamless deployments.

MLOps & Advanced Data: support MLOps practices for model deployment and monitoring. Handle complex time-series

data storage and analysis.

Requirements & Qualifications:

Experience: Minimum 3+ years of hands-on experience in Data Engineering.

e — Programming: Strong proficiency in Python. Solid experience with backend frameworks like FastAPI and Spring Boot.

Big Data & Streaming: experience with Hadoop environments, Apache Spark, Kafka, and Airflow. These are must requirements.

ETL/Orchestration: Deep expertise in ETL pipeline creation, productionizing data workflows, Airflow, and dbt (not mandatory).

Databases: Advanced SQL skills with deep knowledge of DB2 SQL and PostgreSQL. Capable of handling massive time- series datasets. Work experience in IBM AS400 is advantageous.

e = Infrastructure & Security: Proficiency with Linux CLI, Docker, Kubernetes, network configuration, and OAuth2 implementation.

MLOps: Proven knowledge and hands-on experience with MLOps principles and productionizing machine learning workflows.

Exposure to Google Cloud Platform (GCP) services and architecture. (or any other vendor).

Having Banking domain experience is advantageous.

Apply now to to embark on an exciting career journey!

ORYSYS Limited is an equal opportunity employer, and all recruitment decisions are based solely on suitability, regardless of race, gender, marital status, disability, age, religious belief, or sexual orientation. By submitting your application, you consent to collection

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• Employment: Full Time, Permanent, Onsite
• Closing date: 13 Nov 2026
• Job ref: 1566171