Auf einen Blick
- Aufgaben: Lead the design and maintenance of a data system for analytics and reporting.
- Arbeitgeber: Skymetrix powers sustainable growth in the aviation industry with innovative cloud solutions.
- Mitarbeitervorteile: Enjoy competitive pay, growth opportunities, and a collaborative work environment.
- Warum dieser Job: Make a meaningful impact on airline operations while working with cutting-edge technology.
- Gewünschte Qualifikationen: 5+ years as a data engineer, strong SQL and Python skills, and experience with data technologies.
- Andere Informationen: Position based in Dublin or Frankfurt; diversity is valued under the Third Gender Law.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
We are searching for an experienced Senior Data Engineer to take the lead in building and maintaining a data system that will be the foundation for our data reporting and data analytics solutions.
At Skymetrix, our vision is to power the aviation industry to sustainable growth. Our state-of-the-art cloud-based platform gives airlines a new way to improve fuel and cost management and delivers benefits that are critical success factors for any aviation business.
To further our growth, we are looking for a Senior Data Engineer (m/w/d*) for 40 hours per week to join our software team.
*As a company headquartered in Germany, we adhere to the ‘Third Gender Law’. We recognize that a strong team is borne out of diversity, formed by people with different qualities and capabilities.
About the role
As Senior Data Engineer, you will take the lead in building and maintaining a data system that will be the foundation for our data reporting and data analytics solutions. You will also enable the addition of predictive machine learning and AI modelling-based enhancements to our product offerings.
You will be responsible for the collection, transformation and storage of data, ensuring the data is readily available, of good quality, and suitably optimized for supporting our business requirements.
We are looking for someone with strong technical knowledge and skills, as well as the ability to clearly communicate with a range of stakeholders, who can help the company get the most value from its data.
Your responsibilities
- Design and build a data system that will support data reporting, data analytics and predictive machine learning and AI modelling.
- Work with:
- Business stakeholders to understand the business’ data system vision, goals, and requirements.
- The DevOps team to define, build and maintain the required infrastructure.
- Software engineers to understand the data sources.
- Product owners and business intelligence stakeholders to define and develop the required data models and pipelines.
- Build data pipelines to gather data from multiple sources, and transform and aggregate it so that it is ready for consumption and use.
- Ensure data quality by data cleaning, and identifying errors and inconsistencies in data, removing them, and improving data accuracy and reliability.
- Ensure our data system is performant, scalable, cost effective, reliable, secure, and fit for purpose.
- Be an advocate for best practices and continued learning.
Requirements
- Five or more years of professional experience as a data engineer.
- University degree in a related discipline.
- Familiarity with data lake, data warehouse and data modelling principles, technologies, and tools.
- Excellent SQL skills and experience with relational databases.
- Experience of NoSQL databases such as Cosmos.
- Excellent Python skills and experience with relevant libraries.
- Experience of data visualisation / BI tools.
- Familiarity with Cloud Platforms and the data related technologies available.
- Experience building or maintaining ETL processes, and knowledge of relevant tools and technologies.
- Experience with Agile software development and practices.
- Excellent verbal and written communication skills, especially explaining technical concepts to nontechnical stakeholders.
- Ability to take initiative, and to adapt quickly to change.
Location and reporting
- Ideally, this role will be based in Dublin, Ireland. Alternatively, it could be based in Frankfurt, Germany.
- You will report to Software Team Management.
What’s in it for you?
- Competitive Compensation: We offer a competitive salary package commensurate with your skills and experience, recognizing the value you bring to the organization.
- Impactful Role: As the Senior Data Engineer, you will have a direct influence on our data reporting and data analytics solutions.
- Growth Potential: With our ambitious expansion plans and a focus on sustainable growth, you will have ample opportunities to advance your career and broaden your skill set within a dynamic and innovative organization.
- Cutting-Edge Solutions: Skymetrix provides industry-leading airline fuel, cost, and crew management solutions, enabling you to work with cutting-edge technology and stay at the forefront of innovation in the aviation industry.
- Collaborative Environment: You will join a diverse and highly collaborative team where ideas are encouraged, and your contributions will be valued. We foster a culture of teamwork and support, providing a stimulating and engaging work environment.
- Meaningful Work: By contributing to the optimization of airline operations, you will play a crucial role in enhancing safety, efficiency, and profitability for our customers, making a meaningful impact on the aviation industry as a whole.
Join our team at Skymetrix and embark on an exciting journey where your expertise, ambition, and dedication will be rewarded while making a lasting impact in the ever-evolving world of aviation.
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Senior Data Engineer Arbeitgeber: FuelPlus Group
Kontaktperson:
FuelPlus Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer
✨Tip Number 1
Make sure to familiarize yourself with the specific technologies and tools mentioned in the job description, such as SQL, Python, and NoSQL databases. Highlight your experience with these technologies during networking opportunities or interviews to demonstrate your fit for the role.
✨Tip Number 2
Engage with the aviation industry by following relevant news and trends. This will not only help you understand the context of Skymetrix's work but also allow you to discuss how your skills can contribute to their mission of sustainable growth in aviation.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and ETL processes in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will showcase your problem-solving abilities and technical expertise.
✨Tip Number 4
Since communication with non-technical stakeholders is crucial for this role, practice explaining complex technical concepts in simple terms. This will help you convey your ideas effectively during interviews and demonstrate your ability to bridge the gap between technical and business teams.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Tailor your application to highlight your relevant experience in building data systems, working with stakeholders, and ensuring data quality.
Highlight Technical Skills: Emphasize your technical expertise in SQL, Python, and experience with both relational and NoSQL databases. Mention any familiarity with data lakes, data warehouses, and cloud platforms, as these are crucial for the role.
Showcase Communication Abilities: Since the role requires clear communication with various stakeholders, include examples in your application that demonstrate your ability to explain complex technical concepts to non-technical audiences.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the specific skills and experiences that align with Skymetrix's needs. Use keywords from the job description to ensure your application stands out to hiring managers.
Wie du dich auf ein Vorstellungsgespräch bei FuelPlus Group vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data lakes, data warehouses, and data modeling principles. Highlight your proficiency in SQL and Python, and be ready to provide examples of how you've used these skills in previous projects.
✨Communicate Clearly with Stakeholders
Since the role requires interaction with various stakeholders, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical team members.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. This could include issues related to data quality, ETL processes, or optimizing data systems for performance.
✨Emphasize Your Adaptability
The job description mentions the need for someone who can adapt quickly to change. Share examples from your past experiences where you successfully navigated changes in project scope or technology, showcasing your flexibility and initiative.