Senior Data Engineer - Databricks
New
Applicants must currently reside in SpainFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English, Spanish
- Required Skills
- AWSGCPGitAirflowAzureData engineeringSparkDatabricksPySpark
Requirements
- Strong hands-on experience with Databricks and Apache Spark (PySpark, SQL, and/or Scala).
- Experience building and operating cloud-based data platforms on AWS, Azure, or GCP.
- Solid understanding of distributed data processing, data modeling, data warehousing, and performance optimization.
- Experience with CI/CD practices and version control systems such as Git.
- Familiarity with orchestration frameworks such as Airflow, Azure Data Factory, or Databricks Workflows.
- Experience working in agile and cross-functional environments.
- Strong communication skills in English & Spanish.
- A collaborative mindset and passion for building reliable, scalable, and maintainable data solutions.
Responsibilities
- Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
- Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases.
- Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready solutions.
- Improve the performance, scalability, and cost efficiency of data processing workloads within Databricks environments.
- Support the implementation of best practices for data quality, governance, security, and compliance.
- Contribute to architectural discussions and help shape modern data platform strategies for clients.
- Mentor and support junior engineers while fostering knowledge sharing across the team.
View Full Description & ApplyYou'll be redirected to the employer's site
