Senior Data Engineer

1 Month ago • 7 Years + • Data Analysis

Job Summary

Job Description

As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining robust data infrastructure. This includes designing and managing scalable data pipelines, collaborating with data scientists and analysts, optimizing data storage, implementing data quality checks, and maintaining documentation. You will also stay up-to-date with emerging technologies, troubleshoot data-related issues, and ensure data security and compliance. You will work with Big Data Frameworks like Apache Spark and cloud platforms like AWS, Azure, or GCP.
Must have:
  • 7+ years of experience in data engineering
  • Proficiency in Python (pySpark) and SQL
  • Experience with Apache Spark and Databricks
  • Familiarity with AWS, Azure, or GCP cloud platforms
  • Expertise in data pipelines and ETL/ELT design
  • Experience with data storage and management
  • Experience with Azure Data Factory and Azure Functions
  • Knowledge of CI/CD pipelines and version control (Git)
  • Experience with data modeling and warehousing
  • Experience with performance tuning in Spark
  • Experience with collaboration tools like Jira
Perks:
  • Competitive salary package and bonuses
  • Share plan and value-based recognition awards
  • Career coaching and global career opportunities
  • Internal development programs for leadership
  • Access to online learning platforms
  • Hybrid work and flexible working hours
  • Employee assistance program
  • Global internal wellbeing program

Job Details

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a skilled and analytical Data Engineer to join our team in Uruguay. In this role, you will be responsible for designing, implementing, and maintaining robust data infrastructure to support our organization's data-driven decision-making processes.

  • Design, develop, and maintain scalable data pipelines to extract, transform, and load data from various sources.
  • Collaborate with data scientists and analysts to understand data requirements and implement efficient data models.
  • Optimize data storage and retrieval systems to ensure high performance and reliability.
  • Implement and maintain data quality checks and monitoring systems.
  • Develop and maintain documentation for data processes and architectures.
  • Stay up-to-date with emerging technologies and best practices in data engineering.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Ensure data security and compliance with relevant regulations and company policies.

Qualifications

 

 

  • 7+ years of experience in data engineering or a related role.
  • Programming Languages: Python (pySpark), SQL
  • Big Data Frameworks: Apache Spark, Databricks (including Delta Lake and Delta Tables) or equivalent
  • Cloud Platforms & Services: AWS (main), Azure or GCP  
  • Data Engineering: Data pipelines, ETL/ELT design, batch and streaming data processing
  • Data Storage & Management: Delta Tables, Azure Data Lake, Azure Blob Storage
  • Orchestration & Integration: Azure Data Factory (ADF), Azure Functions, Event-driven architecture
  • Workflow & Automation Tools: CI/CD pipelines, version control (Git), DevOps practices
  • Data Modeling & Warehousing: Dimensional modeling, data lakes, lakehouse architectures
  • Monitoring & Optimization: Performance tuning in Spark, job monitoring
  • Collaboration Tools: Jira, Confluence, Agile/Scrum methodologies

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

  • Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
  • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
  • Health: Global internal wellbeing programme, access to wellbeing apps;
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

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