Ultra Tendency

1 month ago

Senior Data Engineer – Databricks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead design and implementation of scalable data pipelines on the Databricks Lakehouse platform, collaborating with data engineers, data scientists, architects, and business stakeholders to deliver robust data solutions using modern cloud and data technologies. You’ll optimize batch and streaming processing, contribute to data governance and security, mentor junior engineers, and help shape modern data platform strategies for international clients.

Location: Lisbon

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key 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:Data engineeringCloudDatabricksSpark

Skills:CommunicationCollaborationTeamworkProblem-solving

Languages:EnglishPortuguese

Tech Stack:DatabricksApache SparkPySparkSQLScalaDelta LakeAWSAzureGCPAirflowAzure Data FactoryDatabricks WorkflowsGitCI/CD

Company Brief

Ultra Tendency

Provides creative digital services including branding, web design, social media content, and marketing strategies for brands, creators, and lifestyle businesses.

Industry: Professional Services

Website

Loading job details...

Preparing the role view and application actions.

Ultra Tendency

1 month ago

Senior Data Engineer – Databricks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Lisbon

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key 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:Data engineeringCloudDatabricksSpark

Skills:CommunicationCollaborationTeamworkProblem-solving

Languages:EnglishPortuguese

Tech Stack:DatabricksApache SparkPySparkSQLScalaDelta LakeAWSAzureGCPAirflowAzure Data FactoryDatabricks WorkflowsGitCI/CD

Company Brief

Ultra Tendency

Provides creative digital services including branding, web design, social media content, and marketing strategies for brands, creators, and lifestyle businesses.

Industry: Professional Services

Website