Data Engineer

2 Months ago • 7 Years + • Data Analysis

Job Summary

Job Description

As a Data Engineer, you will be responsible for designing, implementing, and maintaining a robust data infrastructure. Your responsibilities include designing and maintaining scalable data pipelines, collaborating with data scientists, optimizing data storage, implementing data quality checks, and documenting data processes. You will also be expected to stay updated with the latest technologies, troubleshoot data-related issues, and ensure data security. You will work with various data sources and implement efficient data models to support data-driven decision-making processes within the organization.
Must have:
  • 7+ years of experience in data engineering.
  • Proficiency in Python (pySpark) and SQL.
  • Experience with Apache Spark and Databricks.
  • Experience with AWS, Azure or GCP.
  • Experience in ETL/ELT design.
Good to have:
  • Experience with Delta Tables, Azure Data Lake, Azure Blob Storage.
  • Experience with Azure Data Factory (ADF).
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience in data modeling and warehousing.
  • Experience in performance tuning in Spark.
Perks:
  • Competitive salary package, share plan, bonuses.
  • Career coaching and global career opportunities.
  • Internal development programs.
  • Training, certifications, and online learning platforms.
  • Hybrid work and flexible working hours.

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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