Senior Data Engineer

Minor Hotels Europe and Americas

Senior Data Engineer designing, building, and maintaining data pipelines at Capgemini Engineering. Collaborating with teams to optimize data workflows and ensure data quality.

Posted 7/11/2026full-timeBogota • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines and ETL processes using Databricks and Apache Spark, with a strong focus on data quality, governance, and integration with cloud services. Proficient in optimizing workflows for performance and scalability while collaborating effectively with data scientists and analysts.

Highest-signal resume keywords

DatabricksApache SparkETL ProcessesSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringBig Data TechnologiesData ModelingPySparkData GovernanceLakehouse ArchitectureDelta LakeCI/CD PipelinesDevOps PracticesData Ingestion

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

AWSAzureGCP

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain data pipelines and ETL processes using Databricks and Apache Spark.
Optimize data workflows for performance, scalability, and cost efficiency.
Implement data Lakehouse architecture and manage data ingestion from multiple sources.
Collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads.
Ensure data quality, governance, and security across all data assets.
Monitor and troubleshoot Databricks clusters, jobs, and workflows.
Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems.
Document processes, standards, and best practices for data engineering.

Requirements

What you’ll need

3+ years of experience in data engineering or big data technologies.
Hands-on experience with Databricks, Apache Spark, and PySpark.
Strong knowledge of SQL, Python, and data modeling principles.
Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
Familiarity with Delta Lake, Lakehouse architecture, and data governance.
Understanding of CI/CD pipelines and DevOps practices for data workflows.
Excellent problem-solving and communication skills.

Benefits

Comp & perks

Health insurance
Flexible work arrangements