Data Engineer (Madrid)
- Hiring from
- Spain
- Work type
- Hybrid
- Posted
539,845 remote jobs, straight from company career pages
100% free · New jobs every hour
Show job descriptionHide job description
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.
We are looking for a Data Engineer to join our data engineering team in Madrid. You will work hands-on with Databricks, Spark and large-scale telecommunications data, building the pipelines and datasets that make reliable data available to downstream applications and processing components. You will work closely with Development, Quality Assurance, DevOps, Product Management and Delivery teams throughout the software lifecycle.
To succeed in this role, you should enjoy hands-on engineering, be comfortable investigating data and pipeline issues and care about building solutions that are reliable, testable and easy to maintain.
You will join an international technical team working on production data platforms used in the telecommunications industry. The role offers hands-on experience with Databricks and Spark and the opportunity to contribute to the continued evolution of the platform.
Responsibilities:
-
Develop and maintain scalable data ingestion and transformation pipelines using Databricks, PySpark and SQL.
-
Build and maintain Databricks Jobs and Workflows for data ingestion and processing.
-
Build and evolve datasets across the lakehouse layers, managing schema changes and data contracts while keeping data traceable to upstream sources.
-
Ensure data quality and freshness, making datasets reliably available to downstream consumers within the required processing windows.
-
Develop and maintain automated tests for data pipelines, including unit, integration and regression testing.
-
Troubleshoot data pipeline issues in QA and production, identify root causes and implement fixes.
-
Improve the performance and efficiency of Spark jobs and data transformations.
Requirements:
-
B.Sc./M.S. Computer Science or related field.
-
2+ years of professional experience in Data Engineering or a similar role.
-
Hands-on experience with Python, PySpark and SQL.
-
Good understanding of data modeling and lakehouse concepts.
-
Familiarity with automated testing and Git-based development workflows.
-
Strong analytical and problem-solving skills, with the ability to troubleshoot data processing issues.
-
Fluency in both English and Spanish
-
Ability to work in hybrid in Madrid.
Nice to have:
- Experience building ETL/ELT data pipelines with Apache Spark and Databricks.
- Experience with Delta Lake, Medallion Architecture, schema evolution or data contracts
- Experience with Databricks Jobs / Workflows and workload optimization.
- Experience working with large-volume or telecommunications datasets.
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.