Big Data Software Engineer (d/m/f)

Airbus; Getafe; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A leading aerospace company in Getafe, Spain, is seeking a Big Data Software Engineer to enhance their Data Analytics solutions. Responsibilities include managing Linux servers, data structuring, and developing efficient data pipelines. The ideal candidate holds a degree in a relevant field and is experienced in data manipulation and programming languages such as Python and R. This permanent position offers an opportunity to work in a dynamic environment that fosters innovative thinking.

Formación

• Completed studies in computer science, mathematics or equivalent engineering degree.
• Fluent in English.
• Solid experience with SQL technologies and NoSQL databases.

Responsabilidades

• Install and manage big data tools on Linux servers.
• Collect, manage, and link data.
• Develop and implement program prototypes.

Conocimientos

Data manipulation

Data cleansing

Feature engineering

Statistical analysis

Python

R

Machine learning

SQL

NoSQL databases

Data visualization tools

Data governance models

Educación

Degree in computer science, mathematics or equivalent

Herramientas

Hadoop

ETL tools

Descripción del empleo

Overview

As a Big Data Software Engineer, you will be at the forefront of further developing our Data Analytics solutions. The main task will be to support the existing business units, find new ways to address their challenges with digital technologies and support the creation of new services.

Responsibilities

• Tooling: Installation and management of new Linux & Web services and big data tools on own Linux servers
• Solving problems with existing tools, also in cooperation with the local information management team
• Data structuring: Collecting and managing data, i.e. wrangling, transforming, cleansing and linking with other data
• Provide data sets for machine data models; determine relationships between data source attributes
• Apply data mining techniques to perform statistical analysis
• Data products: Development and implementation of program prototypes, e.g. in Python, C#, Java, R or similar
• Support in the implementation of proof-of-concept and projects within the Transport, Combat and UAV product lines
• Pioneering role: Promote new working methods and new data governance models
• Present the results to different target groups; from engineers to managers
• Sharing and exchanging knowledge with other teams and in close cooperation with the Airbus Services, Engineering and Digital teams
• Create scalable and efficient data pipelines and data lake houses
• Enable the business to extract valuable insights from large datasets and make data-driven decisions

Qualifications

• Completed studies in computer science, mathematics or equivalent engineering degree
• Experience with data manipulation, data cleansing and feature engineering
• Knowledge of statistical analysis (e.g. mean, standard deviation, correlations, etc.)
• Knowledge of programming in one or more of the following languages: R, Python, Java, Matlab or similar
• Knowledge about machine learning, data mining, statistical analysis and modelling
• Knowledge of visualization tools (such as RShiny, Spotfire, Tableau, etc.)
• Knowledge of frameworks for the rapid development of data apps (such as Streamlit, Django, etc.)
• Basic knowledge of Hadoop infrastructure (e.g. HDFS, Spark)
• Solid experience with SQL technologies (SQL Server, MySQL, Oracle, SAP, BW), NoSQL databases (HBase, MongoDB, ArangoDB, Cassandra), ETL concepts and tools
• Fluent in English

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company: Airbus Defence and Space SAU

Employment Type: Permanent

Experience Level: Professional

Job Family: Customer Account and Service Management

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Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [e-mail].

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.