Senior Data & Backend Software Engineer (f/m/d)

Mission Brief  Join us in building the systems and software that empowers our engineering and operation departments to analyze flight data and make data-driven decisions. As a Data & Backend Software Engineer, you will help transform large volumes of structured and unstructured data into reliable, accessible, and actionable information. Your work will enable data-driven decision-making across the company and unlock insights that drive innovation and operational excellence.    Your Role in Our Space Mission:  As part of our Data and Analytics team, you will design, develop, and operate the systems that ingest, process, store, and serve data at scale.    You will:  Build modern, scalable, and high-performance solutions for our engineering and operation platform.  Strong understanding and at least 6 years of hands-on experience in one of the following languages: C#, Java, Rust, Python.    Define data ingestion, processing, storage, and access patterns to ensure reliability, scalability, and maintainability.  Develop data services, APIs, pipelines, and data products that make data available to engineers, analysts, and business stakeholders.  Design and implement robust ETL/ELT processes to ingest and transform data from a wide variety of sources.  Contribute to data architecture, modeling, and storage decisions to ensure consistency, availability, low latency, and long-term sustainability of the platform.  Ensure data quality and integrity through validation processes, monitoring, and adherence to data governance principles.  Provide observability and monitoring of platform components, enabling rapid detection and resolution of issues.  Author and maintain architectural documentation, technical specifications, and user-facing documentation.  Collaborate with cross-functional teams to understand data needs and deliver impactful solutions.  Guide less experienced engineers by sharing your knowledge and know-how, promoting engineering best practices and continuous learning.    Qualification Checklist   A degree in software engineering, computer science, data science or similar   Strong experience with batch and streaming data processing  Good understanding of time-series data concepts, including sampling rates, decimation, signal integrity, and frequency-domain analysis  Practical experience in optimizing and efficient implementation of native data processing and DataFrame-based processing  Excellent skills in querying, transforming, and optimizing large-scale datasets  Solid understanding of modern data architectures, including Lakehouse, Data Warehouse, and Medallion Architecture patterns  Hands-on experience with analytical storage technologies such as Delta Lake and Apache Iceberg  Experience with Apache Kafka and event-driven architectures  Experience with modern data platforms such as Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake  Strong understanding of software engineering principles, including maintainability, testing, and automation  Understanding of cloud infrastructure, networking concepts, and platform operations  Experience with Protobuf encoding and columnar file formats (Parquet, Arrow, Zarr, Arrow Flight)  Experience with observability, monitoring, and telemetry solutions  Experience with OLAP databases and/or TSDBs (like ClickHouse, Apache Druid, InfluxDB)  Ability to communicate technical concepts effectively and collaborate across disciplines    Bonus Skills:   Experience working with large-scale engineering, manufacturing, or telemetry datasets.  Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC).  Experience with stream processing frameworks like Apache Flink   Benefits  Employee Participation Program: Share in