Ingegnere Dei Dati

Kharon; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A data solutions company based in Madrid is seeking a full-time Data Engineer. The role involves building large-scale automated data processing systems and requires proficiency in Python and SQL. Candidates should have over 2 years of experience in data engineering, with strong skills in AWS technologies. The position requires in-office attendance and offers paid holiday leave.

Servicios

Paid holiday leave

Formación

• 2+ years of experience in software engineering or data engineering.
• Strong passion to learn.
• Experience with relational databases.
• Knowledge of data pipeline technologies.
• API experience using FastAPI, Flask, or equivalent.

Responsabilidades

• Build large-scale distributed automated data processing systems.
• Create data pipelines and workflow orchestration.
• Monitor and validate the quality of data.
• Collaborate with engineers and data scientists.

Conocimientos

Python

Pandas

PySpark

SQL

AWS Glue

Airflow

Kafka

Docker

Kubernetes

Neo4J

Educación

BS / MS in Computer Science

Descripción del empleo

Overview

Kharon is seeking a full-time Data Engineer based in Madrid.

This role requires in-office attendance at least 4 days per week, with additional flexibility awarded after complete onboarding.

Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.

Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.

Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.

Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.

Follow good engineering practices like documentation, diagrams, and unit / validation tests.

Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.

Reporting to the Associate Director of Data Engineering.

Qualifications

• 2+ years of experience in software engineering or data engineering and a strong passion to learn.
• ~ BS / MS in Computer Science or equivalent experience in related fields.
• ~ Experience in Python, Pandas, PySpark, and Notebooks.
• ~ SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.
• ~ Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.
• ~ Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.
• ~ Container-based deployment experience using Docker and Kubernetes.
• ~ Experience working with or data modeling for graph databases like Neo4J, Neptune, etc.
• API experience using FastAPI, Flask, Spring Boot or equivalent.
• Understanding of elasticsearch data and query modeling is a big plus.

Benefits

Paid holiday leave.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.