Join the team and support us on our mission!
Location: Serbia
Senior Data Analytics Engineer
Who we are?
As a trusted provider of aviation component services, STRADE leads the way in ensuring fast, innovative and high-quality service delivery to customers worldwide through a digitalized operating model. Established in 2021, we became a subsidiary of SR Technics in 2022 and now operate as an independent unit and intrapreneurship venture. Our focus revolves around managing a vast asset base of aircraft components and providing round-the-clock support to airlines, MROs, and trade partners.
The international team of 70 professionals is strategically located across the globe with key hubs in Zurich, Miami, Kuala Lumpur, Amsterdam, and Belgrade.
Position Description
We are seeking a skilled and experienced Senior Data Analytics Engineer to join our Digital team.
In this role, you will drive the technical development of our existing data warehouse, bringing together data from across the company and turning it into reliable, well-structured datasets for reporting and analytics. You will work closely with teams such as Finance, Asset Management, Business Development, and Product to understand their requirements and translate them into robust data models and transformations.
If you enjoy combining technical depth with business understanding and building the foundation for meaningful insights, we’d love to hear from you!
What You’ll Do (Tasks & Responsibilities)
- Expand our existing data warehouse by integrating data from internal and external sources, prioritised around business needs
- Work with stakeholders across Finance, Asset Management, Business Development, and Product to translate requirements, metric definitions, and business rules into technical solutions
- Design, build, and optimise data models and dbt transformations that provide consistent, reusable datasets for reporting and analytics
- Ensure data reliability through automated testing, reconciliation, monitoring, and clear documentation of definitions and lineage
- Maintain and improve data workflows, troubleshooting issues and collaborating with Software Engineering and Application Operations on performance and reliable operation
- Perform exploratory analyses to validate data, investigate patterns, and support cross-functional analytical questions
- Enable reporting, exploratory analysis, and future AI-supported insights through well-structured and trusted datasets, technical guidance, and selected dashboards and analyses
What You Bring (Qualifications and Professional Competencies)
- Degree (FH, BSc, MSc) in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
- 5+ years of relevant experience in analytics engineering, data engineering, or a technically focused analytics role
- Strong SQL skills and hands-on experience with dbt, data warehouse design, and dimensional modelling
- Experience integrating multiple data sources through ETL/ELT workflows, with working proficiency in Python for processing and automation
- Ability to translate business requirements into maintainable data models and calculation logic, supported by automated tests, reconciliation, and documentation
- Familiarity with cloud data platforms, BI tools, and software engineering practices such as version control, code reviews, and CI/CD
- Additional plus:
- Experience with financial, asset, transactional, or e-commerce data
- Experience with event-driven data architectures and columnar data stores
- Experience enabling AI-assisted analytics or natural-language querying over governed datasets
- Knowledge of statistical analysis and experimentation
- Familiarity with Jira and Confluence
- Fluent in English, both written and spoken
Who You Are (Personal Competencies)
- Excellent interpersonal and communication skills, with the ability to work effectively across technical and business teams and explains complex data topics clearly
- Curious and analytical, asking the right questions, challenging assumptions, and paying close attention to data correctness and business meaning
- Proactive and accountable, working independently and driving topics from discovery through delivery and validation
- Structured and pragmatic, balancing technical quality with timely delivery and sharing knowledge to help others work effectively
- Sharp analytical and critical-thinking skills, with close attention to data correctness and business meaning
- Able to explain technical concepts and data limitations clearly to non-technical audiences
- Open to learning and applying new approaches, with sound judgement about where automation and AI add practical value
And - Why join us?
Our values always guide our actions. We do not beat around the bush. We are learning, constantly. We dare to dream big. As a team we achieve more. For all roles, we are seeking authentic team players guided by an entrepreneurial spirit, integrity, and a global mindset.
We know great talent comes in many forms. We're building an inclusive workplace where everyone can thrive — and we especially encourage women and underrepresented talent to apply. If this role excites you and your experience aligns with the key requirements, we’d love to hear from you — even if you don’t meet every single point.
The greatest advantage of joining our team is the opportunity to elevate your career while working in an innovative environment set to revolutionize the aviation industry. And additionally:
- Vibrant company culture, centered around our four values “1 Team”, “Extreme Drive”, “Constant Learning” and “Always Real”
- Hybrid work environment fully supportive of flexibility to arrange your work in line with your lifestyle and personal context
- Personal and professional development opportunities
- Benchmark driven compensation rewarding growth
Thank you for your interest.
By submitting your application, you give your consent that all personal data you have submitted here may be processed by us for the purposes of candidate selection process in our company.