Data Engineer's primary responsibility

Data ingestion & ETL: Build robust Python-based pipelines to collect, clean, validate, and join large datasets from multiple sources (APIs, logs, databases, files). Data quality & troubleshooting: Detect, investigate, and resolve data discrepancies and integrity issues; implement automated validation and monitoring. Data analysis & reporting: Analyze datasets to uncover trends and actionable insights; produce repeatable reports and dashboards for stakeholders. Dashboards & visualizations: Develop and maintain dashboards (Tableau, Power BI, or equivalent) and programmatic visualizations for product and business teams. Collaboration: Work closely with product and engineering to translate business requirements into data solutions, instrumentation, and KPIs. Predictive modeling & ML: Design, train, evaluate, and deploy statistical models and machine learning solutions (scikit-learn, PyTorch, TensorFlow, etc.) to forecast trends and support decision-making. Performance & scalability: Optimize queries and data workflows (SQL, ClickHouse, MongoDB) for low-latency and high-throughput environments. Prototyping & research: Rapidly prototype algorithms and analyses in Python (or MATLAB when needed) and turn prototypes into production-ready code.

Bachelor's degree in Computer Science, Mathematics, Statistics, Telecommunications, or related field (advanced degree a plus). At least 3 years of work experience. Strong production experience developing in Python (data engineering, analysis, and/or ML). Proficient with SQL and experience with ClickHouse and MongoDB (or similar). Experience collecting, analyzing, and reporting data from lab and production systems. Experience with BI tools (Tableau, Power BI, or similar). Familiarity with data mining and machine learning algorithms and libraries (scikit-learn, pandas, NumPy). Experience prototyping algorithms in Python (MATLAB experience a plus).

Soft Skills.

Analytical Capabilities, Critical thinking, Problem solving, Eager to learn, and Proactive. Planning and Organizational skills, Active listening, Communication skills. Teamwork, autonomous. Customer and results orientation. Fluency in both English and Spanish Ability to work in hybrid in Madrid. Nice-to-Have:

Knowledge of statistical signal processing or communication systems. Experience with Wi-Fi or networking technologies. Experience deploying ML models and building monitoring for model performance. Familiarity with cloud data platforms and orchestration tools (Airflow, Kubernetes, AWS/GCP/Azure).

A competitive salary and incentive plan. Flexible schedule, including telecommuting. Free parking or transportation card (Pluxee transport pass). Meal card (Pluxee restaurant pass) Private medical insurance (for the whole family). The opportunity of working in an international environment. PTO for birthday

AXON Networks delivers a robust AI-driven, analytics-based orchestration platform and a wide portfolio of next-gen high-speed routers that leverage the newest Wi-Fi technologies. Together, these technologies give ISPs the ability to manage and troubleshoot their networks in real time, and to deliver an outstanding customer experience. AXON Networks is a trusted strategic partner for its customers, helping them evaluate their current technologies and business models, and creating and executing strategies that enable them to innovate faster, accelerate their digital transformations, and strengthen their relationships with consumers. AXON Networks is headquartered in Irvine, CA USA with Asia HQ in Singapore and also operating in Denmark, Spain and Vietnam. AXON Networks is seeking a Python-focused developer to build, maintain, and optimize data pipelines, analyses, and predictive models that inform product and business decisions. The Data Engineer's primary responsibility is to deliver clear customer value through data-driven analytics. This role requires strong analytical skills and deep familiarity with the product algorithms, contributing across product development: performing data analysis, defining and documenting algorithms, and delivering production-quality solutions that meet customer needs. You will be working in a dynamic and continuous learning environment, with highly cooperative colleagues, and you will feel a part of a highly skilled technical community.