Data Engineer

Airbus
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Experience level
Senior
Compensation
€ 65K

Job location

Tech stack

ABAP
Agile Methodologies
Automation of Tests
Big Data
Code Review
Information Engineering
Data Infrastructure
Data Integrity
ETL
Database Queries
DevOps
Python
Scrum
DataOps
SAP Applications
SAP BI Accelerator
SAP NetWeaver Business Warehouse
SAP HANA
Software Engineering
SQL Databases
Data Streaming
Scripting (Bash/Python/Go/Ruby)
SAPBasis
PySpark
Information Technology
Low Latency
Data Analytics
SAP S/4HANA
Data Pipelines

Job description

  • Participate in Agile ceremonies and collaborate within a cross-functional Agile Team.
  • Design and develop complex data models within SAP BW.
  • Build and maintain end-to-end data pipelines in Palantir Foundry.
  • Ensure data flow between SAP landscape and Palantir environment.
  • Apply DevOps and DataOps principles by performing code reviews and automated testing., The successful candidate will join the Data & Analytics team and act as a Developer within an Agile Release Train. You will build high-performance data products and applications that bridge our industrial core (SAP BW) with our advanced big data ecosystem (Palantir Foundry), playing a critical role in the digital continuity of the world's leading helicopter manufacturer. Why join us

Albacete life offers a comfortable balance between career and personal life with a 15-minute city style layout. Airbus Helicopters provides a collaborative, growth-oriented environment as a strategic Center of Excellence in helicopter production. The Digital Campus is a pioneering ecosystem for industrial digitalization and innovation. Your challenges

  • Agile Delivery: Actively participate in all Agile ceremonies (PI Planning, System Demos, Sprint Retrospectives) and collaborate within a cross-functional Agile Team to deliver increments that meet the Definition of Done.
  • Data Engineering (SAP Focus): Design and develop complex data models within SAP BW (on HANA / BW/4HANA). Manage back-end extractions (ABAP, CDS views), transformation logic, and optimize queries for large-scale industrial datasets.
  • Data Engineering (Foundry Focus): Build and maintain end-to-end data pipelines in Palantir Foundry. Utilize PySpark and SQL to transform raw data into a structured Ontology that supports operational decision-making.
  • Hybrid Integration: Ensure seamless data flow between SAP landscape and Palantir environment, maintaining data integrity and low latency.
  • Built-in Quality: Apply DevOps and DataOps principles. Perform peer code reviews, automated testing, and maintain technical documentation for long-term maintainability of the data platform.
  • Innovation: Contribute to Enabler stories to improve the architectural runway of the Data & Analytics platform.

Requirements

  • 5 to 10 years of experience in Data Engineering, focused on SAP BI and Palantir Foundry.

  • Master's degree in Computer Science, Software Engineering, or a related field.

  • Extensive hands-on experience with SAP BW and proficiency in ABAP., Advanced Python (PySpark) SQL proficiency Agile methodologies Team Player Analytical mindset Fluent in English Spanish advantageous, Master's degree in Computer Science, Software Engineering, or a related field, * Experience: 5 to 10 years in Data Engineering, with a focus on SAP BI and Palantir Foundry.

  • Education: Master's degree in Computer Science, Software Engineering, or a related field.

Technical Skills (Hard Skills)

  • SAP BI Expert: Extensive hands-on experience with SAP BW. Proficiency in ABAP for ETL, HANA Calculation Views and AMDP scripting.
  • Palantir Foundry Specialist: Proven track record in Foundry (Data Connection, Code Repos, Pipeline Builder, Workshop).
  • Coding: Advanced Python (PySpark) and SQL.
  • Agile: Strong understanding of Agile and SCRUM methodologies.

Soft Skills

  • Team Player: Comfortable in a collaborative Agile environment, sharing knowledge and supporting teammates to achieve iteration goals.
  • Problem Solver: Analytical mindset for troubleshooting data discrepancies across hybrid systems.
  • Communication: Fluent in English; Spanish is an advantage for local site integration.

Benefits & conditions

  • Vacation days plus additional time off through the year (approximately 35 days per year in total).
  • Attractive salary and hybrid working model.
  • Flexible working arrangements where possible.
  • Collective transport service subject to working calendar/home location.
  • Benefits such as life and health insurance, retirement plan, or study grants.
  • On-site facilities (canteen, kindergarten, medical office) and opportunities to participate in CSR initiatives.
  • Upskilling opportunities and development prospects in a multicultural environment.
  • Access to special rates on products & benefits.

About the company

A leading aerospace manufacturer in Albacete seeks a Senior Data Engineer to develop data products connecting SAP BW and Palantir Foundry. The candidate will engage in Agile methodologies and focus on building data models, ensuring seamless data flow, and applying DevOps principles. This role offers attractive compensation, a hybrid working model, and extensive benefits, including health insurance, vacation days, and development opportunities.

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