Asset Integration Engineer (Aviation Data & Analytics)
⚲ Gdańsk
Do uzgodnienia
Opis stanowiska
Nasze wymagania:
Aviation Knowledge: You understand basic aircraft systems, the types of parameters they generate, and the sensors (temperature, vibration, pressure) used to monitor flight health.
Tech Skills: You have basic experience (or an MS equivalent) with coding, preferably: Python, SQL, and Regex.
Analytical Mindset: You can look at a data set and enjoy the detective work required to understand what stands behind them.
Open to Learning: You are excited to master tools like Palantir Foundry, Apache Spark (PySpark), and specialized python frameworks which stand behind skywise platform.
Communicator: Proficiency in English to explain complex technical solutions to both fellow engineers and non-technical stakeholders.
Education: Bachelor's or Master's degree in a technical field
Curiocity: Capability to propose new opportunities and solutions (e.g., new AI/ML possibilities, tech architecture). Ability to research autonomously in R&D topics.
O projekcie:
In this role you will be the technical bridge between Skywise and global partners like Collins Aerospace and Liebherr. You will help them integrate their expert predictive models into Skywise platform, the backbone of Airbus data infrastructure, to make global aviation safer and more sustainable.
Zakres obowiązków:
Model integration: Build and improve the model integration pipeline, focusing on automating data workflows and enabling efficient data integration.
Technical Support & Integration: Serve as the support for partners, helping them retrieve aircraft data (parameters, logbooks) and integrate their maintenance models into our ecosystem.
Build Data Pipelines: Automate data workflows to transform disparate datasets into "high-signal" models.
Innovate & Research: Autonomously research R&D topics, proposing new AI/ML possibilities and technical architectures to optimize scaling and cost.
Global Collaboration: Participate in weekly discussions with international partners and managers, occasionally traveling to collaborate with global teams.
Product Vision: Participate in technical discussions, documentation needs, research, and innovation and sustainability topics.
Oferujemy:
Stable, full-time employment contract
Flexible working hours with a hybrid model (3 days per week in our Gdansk office at Olivia Business Centre)
Training and development opportunities to support your career growth (3000 PLN gross per year after the probationary period)
Co-funding for meals and commuting
Access to the latest knowledge and technologies enabling professional development
Opportunity to work on international projects and collaborate with global teams, including occasional international travel
Private medical coverage
Sport card
Mental health support platform
Life insurance
Employee Stock Ownership Plan
Employee referral program bonus (5000 PLN)
Aviation Knowledge: You understand basic aircraft systems, the types of parameters they generate, and the sensors (temperature, vibration, pressure) used to monitor flight health.
Tech Skills: You have basic experience (or an MS equivalent) with coding, preferably: Python, SQL, and Regex.
Analytical Mindset: You can look at a data set and enjoy the detective work required to understand what stands behind them.
Open to Learning: You are excited to master tools like Palantir Foundry, Apache Spark (PySpark), and specialized python frameworks which stand behind skywise platform.
Communicator: Proficiency in English to explain complex technical solutions to both fellow engineers and non-technical stakeholders.
Education: Bachelor's or Master's degree in a technical field
Curiocity: Capability to propose new opportunities and solutions (e.g., new AI/ML possibilities, tech architecture). Ability to research autonomously in R&D topics.
O projekcie:
In this role you will be the technical bridge between Skywise and global partners like Collins Aerospace and Liebherr. You will help them integrate their expert predictive models into Skywise platform, the backbone of Airbus data infrastructure, to make global aviation safer and more sustainable.
Zakres obowiązków:
Model integration: Build and improve the model integration pipeline, focusing on automating data workflows and enabling efficient data integration.
Technical Support & Integration: Serve as the support for partners, helping them retrieve aircraft data (parameters, logbooks) and integrate their maintenance models into our ecosystem.
Build Data Pipelines: Automate data workflows to transform disparate datasets into "high-signal" models.
Innovate & Research: Autonomously research R&D topics, proposing new AI/ML possibilities and technical architectures to optimize scaling and cost.
Global Collaboration: Participate in weekly discussions with international partners and managers, occasionally traveling to collaborate with global teams.
Product Vision: Participate in technical discussions, documentation needs, research, and innovation and sustainability topics.
Oferujemy:
Stable, full-time employment contract
Flexible working hours with a hybrid model (3 days per week in our Gdansk office at Olivia Business Centre)
Training and development opportunities to support your career growth (3000 PLN gross per year after the probationary period)
Co-funding for meals and commuting
Access to the latest knowledge and technologies enabling professional development
Opportunity to work on international projects and collaborate with global teams, including occasional international travel
Private medical coverage
Sport card
Mental health support platform
Life insurance
Employee Stock Ownership Plan
Employee referral program bonus (5000 PLN)
🔍 Dekoder Ogłoszenia
🔴
basic experience (or an MS equivalent) with coding
Może oznaczać, że doświadczenie jest minimalne i oczekuje się szybkiego uczenia się, a stopień magistra jest traktowany jako substytut praktyki.
🔴
enjoy the detective work required to understand what stands behind them
Może sugerować, że dane są nieuporządkowane lub brakuje dokumentacji, co wymaga od pracownika samodzielnego odkrywania ich znaczenia.
🔴
Open to Learning: You are excited to master tools like Palantir Foundry, Apache Spark (PySpark), and specialized python frameworks which stand behind skywise platform.
Oznacza, że pracownik będzie musiał poświęcić dużo czasu na naukę specyficznych, być może niszowych narzędzi, które nie są powszechnie znane.
🔴
Capability to propose new opportunities and solutions (e.g., new AI/ML possibilities, tech architecture). Ability to research autonomously in R&D topics.
Sugestia, że pracownik będzie musiał samodzielnie inicjować i prowadzić badania oraz rozwój, co może oznaczać brak jasno określonych zadań.
🟡
technical bridge between Skywise and global partners
Może oznaczać, że będziesz musiał tłumaczyć skomplikowane problemy techniczne między różnymi zespołami i partnerami, co wymaga dużej cierpliwości i umiejętności negocjacyjnych.