SENIOR BIG DATA ENGINEER

NDT Global GmbH.; España; Presencial; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a skilled Data Engineer to architect and implement data solutions for large-scale datasets. This exciting role involves designing and maintaining Big Data platforms, ensuring adherence to clean code principles, and mentoring fellow engineers. The ideal candidate will have extensive experience in software development, particularly with Big Data frameworks, and a strong command of tools like Scala and Apache Spark. Join this innovative firm to contribute to cutting-edge projects that enhance data processing and machine learning capabilities, all while working in a collaborative environment focused on operational efficiency and risk reduction.

Formación

• 6+ years of experience in Software Development and Big Data frameworks.
• Advanced experience in Scala, Apache Spark, and Kafka required.

Responsabilidades

• Designs and writes software code for Big Data environments.
• Mentors and supports colleagues in Data Engineering topics.
• Maintains software code and infrastructure in production.

Conocimientos

Scala

Apache Spark

Kafka

Big Data processing

Problem-solving

Communication skills

Educación

Bachelor's degree in Computer Science

Herramientas

Apache Nifi

Docker

Kubernetes

NoSQL Databases (Redis)

SQL Databases (MySQL, Microsoft SQL Server)

AWS

Azure

Descripción del empleo

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.

Tasks

• 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 ensures quality of the developed software in production stage.

Requirements

• 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.