Data Engineer (Madrid - Hybrid)

AXON Networks delivers a robust AI-driven, analytics-based orchestration platform and awide 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 Networksis seeking a Data Engineer, focused on enhancing access networks for global ISPs like DT, Telefonica, and LLA.

The primary responsibility of theData Engineer is to demonstrate customer value through effective data analytics. This requires strong analytical skills and in-depth knowledge of the algorithms used in AXON NetworksAccess Technologies products, contributing to various stages of product development, including data analysis, algorithm definition, documentation, and delivering top-tier solutions aligned with 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.

Responsibilities:

• Data Collection & Cleaning: Collect, clean, and validate large sets of data from multiple sources

• Data Analysis & Reporting: Analyze data to identify trends, patterns, and actionable insights, and create regular reports and dashboards for stakeholders.

• Support Decision-Making, providing data-driven insights to support key business decisions.

• Work closely with product, and engineering teams to translate business requirements into data analysis and reporting solutions.

• Troubleshoot Data Issues: Investigate and resolve data discrepancies or quality issues, ensuring the accuracy and integrity of data used for reporting and analysis.

• Predictive Analysis: Use statistical models and machine learning techniques to predict future trends, behaviors, and outcomes based on historical data.

Requirements:

• Technical Skills

  • Bachelor in Telecommunications, Mathematics, Statistics or Computer Science engineering (PhD degree is a plus)

  • Strong experience developing in Python

  • Strong experience with SQL and databases preferably Mongo and Clickhouse

  • Experience in collection, analysis, reporting of data, etc. in lab/production environments.

  • Experience with Tableau / Power BI or similar

  • Knowledge of statistical processing and communication systems is nice to have.

  • Knowledge of Wi-Fi technologies is desirable.

  • Experience in algorithm analysis using MATLAB or Python

  • Experience in data mining and machine learning algorithms

• 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.

Benefits:

• 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

* Only applications submitted in English will be reviewed or considered for this position.

Join AXON Networks!

At AXON Networks, we promote equal opportunities in all our recruitment processes, ensuring non-discrimination on the basis of gender, age, origin, disability, or any other personal circumstances. We assess talent based on objective criteria and foster an inclusive and diverse working environment.

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