Big Data Engineer

Overview Join to apply for the Big Data Engineer role at NDT Global .

NDT Global is the leading provider of ultra-high-tech diagnostic inspection solutions, advanced data analysis and integrity assessment services for ensuring the safety and longevity of energy-sector infrastructure assets. Recognized as the forerunner in ultrasonic inspection technologies comprising Pulse Echo, Pitch-and-Catch and Phased Array, as well as Acoustic Resonance (ART Scan) methodologies, the company also deploys a range of non-ultrasonic technologies, such as Inertial Measurement Units, with more under development. NDT Global strategically applies its inspection technologies to detect, diagnose and model various types of threat—circumferential or axial cracks, metal loss, geometry, mapping, and more—across diverse classes of assets. By providing predictive, decision-ready insights driven by the world’s most accurate data, NDT Global enables the conditions for asset owners to optimize infrastructure health and drive operational efficiencies while reducing risk and minimizing their carbon footprint.

Purpose The goal of the Data Engineer is to architect, specify and implement data access, ingestion, processing, and provisioning of large-scale datasets into the Big Data infrastructure. The role ensures that architectural, test-driven, and clean code principles are followed. This position also covers the design, setup, maintenance, and upgrade of the production environment.

Responsibilities Designs, specifies, and writes software code for different projects in Big Data environments

Mentors, supports, and coaches colleagues, Data Scientists and Engineers in Big Data and Data Engineering topics

Maintains software code and infrastructure in the Big Data environments

Designs and prepares Big Data platform for machine learning and data processing in production environments

Documents the work for the developed solutions and maintain consistency of information

Responsible for the overall software and code base and implements the software code into production

Performs code reviews and ensure quality of the developed software in production

Qualifications A bachelor’s degree in computer science, Engineering or related education is required

A minimum of 6 years of experience in Software Development and Big Data framework

A minimum of 3 years of experience working with Big Data framework is required

Advanced experience in Scala, Apache Spark, Kafka and distributed storage systems (S3, Ceph)

Experience with NoSQL Databases (Redis) and SQL Databases (MySQL, Microsoft SQL Server)

Familiarity with cloud platforms (AWS or Azure) and their big data services (e.g., EMR, Databricks)

Experience with Apache NiFi is a plus

Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus

Skillset Must be proficient in spoken and written English

Knowledge of advanced programming skills (functional or object-oriented)

Knowledge of Machine Learning is preferred

Strong background in big data processing, data pipeline development, and performance optimization

Excellent problem-solving skills and the ability to troubleshoot complex data issues

Strong communication skills and the ability to work collaboratively in a team environment

Benefits Competitive salary and comprehensive benefits package : Health Insurance, pension Plan, Gym Flex, eyecare, 23 days Annual leave

Flexible & Hybrid working : Our flextime model allows you to design your working day as it suits your needs

Individual training and development opportunities and professional development schemes

Opportunity to work with cutting-edge technologies and make a significant impact on our data strategy

International, intercultural and young working environment

Great company culture and office environment

Details Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Engineering and Information Technology

Industries : Pipeline Transportation

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