Data Engineer

Syneos Health Commercial Solutions; Buenos Aires; Presencial; ARS 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Syneos Health in Buenos Aires is seeking a Data Engineer, Business Analytics to design, develop, and maintain scalable data solutions that empower enterprise reporting, analytics, and BI initiatives. You will partner with stakeholders and analytics teams to build reliable pipelines, optimize architecture, and enable data-driven decision making across the organization.

Experience with SQL, ETL/ELT, data warehousing, and cloud platforms is valued; strong communication and problem solving are

Formación

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field.
• 3+ years of experience in data engineering, data integration, BI, or related disciplines.
• Strong SQL skills and experience with complex queries, stored procedures, and data transformations.
• Experience building and maintaining ETL/ELT processes and data pipelines.
• Knowledge of data modeling, database design, and data warehousing concepts.
• Strong analytical and troubleshooting skills, able to communicate technical concepts clearly.

Responsabilidades

• Design, develop, and maintain data pipelines, integrations, and workflows for reporting and analytics.
• Build and optimize data models, warehouses, and data marts for efficient access to critical information.
• Integrate data from multiple sources while ensuring quality, consistency, and governance.
• Monitor data processes, troubleshoot issues, and ensure reliability, performance, and availability.
• Partner with analytics teams to deliver datasets and data structures that support decision-making.
• Identify automation opportunities and continuously improve data architecture and tooling.

Conocimientos

SQL

ETL/ELT

Data modeling

Data warehousing

Data governance

Communication

Problem solving

Python

Data visualization

Educación

Bachelor's degree

Herramientas

Azure/AWS/Google Cloud

Power BI

Tableau

Snowflake

Databricks

Descripción del empleo

Description

You’re driven, resourceful, and above all else - remarkably smart. You love a good challenge. You are the first to roll up your sleeves and work with relentless energy until you solve the unsolvable, beat the unbeatable and you always come out on top. Passable doesn’t cut it – you’ve got fire in your belly to learn more, do more and be more. For you, the sweetest success is shared success and you’re known for your good nature. You’ll fit right in at Syneos Health where we surround ourselves with the most talented and agile professionals in the industry, but we check our egos at the door.

Position Summary

The Data Engineer, Business Analytics is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives. This role partners closely with business stakeholders, analytics teams, and technology partners to ensure data is accurate, accessible, and actionable. The ideal candidate combines strong technical expertise with business acumen to build reliable data pipelines, optimize data architecture, and enable data-driven decision-making across the organization.

Key Responsibilities

Data Engineering & Architecture

• Design, develop, and maintain data pipelines, integrations, and workflows that support reporting and analytics needs.
• Build and optimize data models, data warehouses, and data marts to ensure efficient access to business-critical information.
• Integrate data from multiple internal and external sources while maintaining data quality, consistency, and governance standards.
• Monitor and troubleshoot data processes to ensure reliability, performance, and availability.

Data Management & Quality

• Develop and implement data validation, cleansing, and quality control processes to ensure the accuracy and integrity of reporting data.
• Establish and maintain data definitions, business rules, and documentation to support consistent reporting across the organization.
• Identify and resolve data discrepancies, root causes, and process gaps affecting business intelligence outputs.
• Support data governance initiatives by promoting best practices for data management, security, and compliance.

Business Intelligence & Analytics Support

• Partner with Business Analytics teams to deliver datasets, reporting solutions, and data structures that support strategic decision-making. Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions. Optimize data availability and performance for dashboards, reports, and self-service analytics tools. Support ad hoc data requests, analysis, and reporting initiatives as needed.

Continuous Improvement & Innovation

• Identify opportunities to automate manual processes and improve data engineering efficiencies.
• Evaluate and implement enhancements to data architecture, tools, and processes to support organizational growth.
• Stay current on emerging technologies, data engineering practices, and business intelligence trends.
• Contribute to the development of scalable and sustainable analytics infrastructure.

Required

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field.
• 3+ years of experience in data engineering, data integration, business intelligence, or related disciplines.
• Strong proficiency in SQL and experience developing complex queries, stored procedures, and data transformations.
• Experience building and maintaining ETL/ELT processes and data pipelines.
• Knowledge of data modeling, database design, and data warehousing concepts.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to communicate technical concepts effectively to both technical and nontechnical audiences.

Preferred

• Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Experience with Power BI, Tableau, Snowflake, Databricks, or similar analytics technologies.
• Knowledge of Python, R, or other scripting languages used for data processing and automation.
• Experience supporting enterprise reporting and business analytics functions.

Core Competencies

• Data Engineering
• ETL/ELT Development
• SQL & Database Management
• Data Modeling Business Intelligence
• Data Governance
• Problem Solving
• Process Automation
• Collaboration
• Continuous Improvement

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.

Why Syneos Health?

We partner with industry experts to solve and execute against today’s toughest commercialization challenges facing the world’s leading healthcare companies. The diversification and breadth of our new and existing partnerships create a multitude of career paths and employment opportunities on our Commercial Operations and Leadership teams. Join our game-changing, global company dedicated to creating better, smarter, faster ways to get biopharmaceutical therapies to patients. Experience the thrill of knowing that your everyday efforts are contributing to improving patients’ lives around the world.

Work Here Matters Everywhere | How are you inspired to change lives?

Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)