Product Data Analyst (business insights)

Zielinski & Rozen Export Ltd; Valencia; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A leading company in IT services is looking for a Data Engineer to build, optimize, and maintain data pipelines and lake architectures in a full-time position. The role involves working with cloud platforms, ensuring data integrity, and collaborating with various teams to deliver robust data solutions. Ideal candidates will have a strong background in data engineering and relevant technologies, supporting their professional growth in a collaborative environment.

Servicios

Fixed compensation

Long-term employment with vacation days

Professional growth development opportunities

Work with cutting-edge technology products

Cooperative and fun colleagues

Formación

• 2-4 years of experience in data engineering or ETL development.
• Professional level knowledge of English.
• Hands-on experience with data pipeline development.

Responsabilidades

• Design and maintain scalable ETL/ELT pipelines.
• Implement and optimize data lake solutions.
• Collaborate with data teams to deliver analytics solutions.

Conocimientos

SQL

Python

Scala

Java

Data Governance

Analytical Skills

Educación

Bachelor's or Master's degree in Computer Science

Herramientas

Apache Airflow

Kafka

Snowflake

Docker

AWS

Azure

Google BigQuery

Descripción del empleo

We are seeking a Data Engineer / Data Lake Engineer to join our team and help build, optimize, and maintain scalable data pipelines and data lake architectures. The ideal candidate will have experience in designing, implementing, and managing data ingestion, transformation, and storage solutions in cloud or on-premise environments.

Responsibilities :

• Design, develop, and maintain scalable ETL / ELT pipelines to support data ingestion and processing.
• Implement and optimize data lake solutions to ensure efficient data storage, retrieval, and governance.
• Work with structured and unstructured data sources to enable efficient analytics and reporting.
• Collaborate with data scientists, analysts, and business teams to understand data needs and deliver solutions.
• Ensure data integrity, security, and compliance with industry standards.
• Monitor, troubleshoot, and enhance data pipelines for reliability and performance.
• Work with cloud platforms like AWS, Azure, or GCP for data storage and processing.
• Utilize tools such as Apache Airflow, Kafka, Snowflake for data engineering workflows.
• Identify, analyze and interpret trends or patterns in complex data sets using statistical techniques.
• Build and provide ongoing reports that will be utilized to prioritize business and information needs.

Requirements :

• Bachelors or master's degree in computer science, Data Engineering, Information Technology, or related field.
• Excellent professional level knowledge of English.
• 2-4 years of experience in data engineering, ETL development, or cloud data solutions.
• Hands-on experience with SQL, Python and Scala / Java for data pipeline development.
• Experience with cloud-based data platforms (AWS S3, Azure Data Lake, Google BigQuery, etc.).
• Strong knowledge of relational and NoSQL databases.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Nice to have :

• Experience with big data technologies (Spark, Hadoop, Hive, etc.).
• Experience with containerization technologies like Docker for deploying and managing data pipelines.
• Experience with Snowflake.
• Understanding of CI / CD practices and version control (Git, Jenkins, etc.).
• Experience with data governance, cataloging, and security best practices.
• Experience with streaming data technologies (Kafka, Kinesis, etc.).
• Exposure to machine learning workflows or advanced analytics.
• Experience with NLP.

Benefits :

• Fixed compensation.
• Long-term employment with the working days vacation.
• Development in professional growth (courses, training, etc.).
• Being part of successful cutting-edge technology products that are making a global impact in the service industry.
• Proficient and fun-to-work-with colleagues.

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives.

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology

Industries : IT Services and IT Consulting

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