Senior Data Engineer (Databricks Focus)

buscojobs España; Lyon; À distance; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading company is seeking a Senior Data Engineer with a focus on Databricks. This long-term remote opportunity involves designing scalable data pipelines and collaborating with international teams on innovative projects. The ideal candidate will have a solid background in data engineering, strong ETL skills, and be proficient with big data technologies and cloud platforms.

Qualifications

• 5+ years of experience in data engineering or similar roles.
• Proven experience with Databricks (must-have).
• Strong background in data modeling, ETL development, and pipeline optimization.

Responsabilités

• Design and build scalable data pipelines using Databricks, Apache Spark, and modern ETL frameworks.
• Develop and maintain data models using tools like ER/Studio or IBM Data Architect.
• Implement and optimize data warehousing solutions like Amazon Redshift or Snowflake.

Connaissances

Data engineering

Databricks

ETL development

Data modeling

SQL

Python

Apache Spark

Data warehousing

Big data technologies

Cloud platforms

Outils

Jira

Confluence

Git

Tableau

Power BI

Looker

Amazon Redshift

Snowflake

Apache Kafka

Apache Flink

Azure Data Factory

HashiCorp Vault

Apache Ranger

ER/Studio

IBM Data Architect

Description du poste

Join to apply for the Senior Data Engineer (Databricks Focus) role at Scale Up Recruiting Partners

Join to apply for the Senior Data Engineer (Databricks Focus) role at Scale Up Recruiting Partners

Location: Remote – LATAM candidates encouraged to apply

We are hiring a

Title: Senior Data Engineer (Databricks Focus)

Location: Remote – LATAM candidates encouraged to apply

We are hiring a

Title: Senior Data Engineer (Databricks Focus)

Location: Remote – LATAM candidates encouraged to apply

We are hiring a Senior Data Engineer for one of our clients, an innovative global company that builds impactful digital solutions. They are looking for someone with strong hands-on experience in Databricks and a solid background in building and optimizing data pipelines and architectures.

This is a long-term remote opportunity working with an international and collaborative team on cutting-edge data projects.

What You’ll Be Doing

• Design and build scalable data pipelines using Databricks, Apache Spark, and modern ETL frameworks.
• Work with structured and unstructured data from relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Develop and maintain data models using tools like ER/Studio or IBM Data Architect.
• Implement and optimize data warehousing solutions like Amazon Redshift or Snowflake.
• Collaborate on real-time data integration using Apache Kafka, Apache Flink, and Azure Data Factory.
• Ensure data security and access control with tools such as Apache Ranger and HashiCorp Vault.
• Work closely with analytics teams to enable data visualization with tools like Tableau, Power BI, or Looker.
• Use Jira, Confluence, and Git for task management and documentation.
• Follow software engineering best practices using SQL, Python, and optionally R.
  
  

Join to apply for the Senior Data Engineer (Databricks Focus) role at Scale Up Recruiting Partners

Join to apply for the Senior Data Engineer (Databricks Focus) role at Scale Up Recruiting Partners

Title: Senior Data Engineer (Databricks Focus)

Location: Remote – LATAM candidates encouraged to apply

We are hiring a

Title: Senior Data Engineer (Databricks Focus)

Location: Remote – LATAM candidates encouraged to apply

We are hiring a Senior Data Engineer for one of our clients, an innovative global company that builds impactful digital solutions. They are looking for someone with strong hands-on experience in Databricks and a solid background in building and optimizing data pipelines and architectures.

This is a long-term remote opportunity working with an international and collaborative team on cutting-edge data projects.

What You’ll Be Doing

• Design and build scalable data pipelines using Databricks, Apache Spark, and modern ETL frameworks.
• Work with structured and unstructured data from relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Develop and maintain data models using tools like ER/Studio or IBM Data Architect.
• Implement and optimize data warehousing solutions like Amazon Redshift or Snowflake.
• Collaborate on real-time data integration using Apache Kafka, Apache Flink, and Azure Data Factory.
• Ensure data security and access control with tools such as Apache Ranger and HashiCorp Vault.
• Work closely with analytics teams to enable data visualization with tools like Tableau, Power BI, or Looker.
• Use Jira, Confluence, and Git for task management and documentation.
• Follow software engineering best practices using SQL, Python, and optionally R.
  
  

What We’re Looking For

• 5+ years of experience in data engineering or similar roles.
• Proven experience with Databricks (must-have).
• Strong background in data modeling, ETL development, and pipeline optimization.
• Experience with Apache Spark, big data technologies, and cloud platforms (preferably AWS).
• Proficiency in SQL and at least one scripting language (Python or R).
• Ability to thrive in fast-paced, cross-functional, and remote environments.
• Advanced English communication skills.
  
  

If you are passionate about building robust data infrastructure and want to work on innovative projects, we’d love to hear from you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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