Data Science (Engineering foundations)

Capgemini Engineering; Colombia; Híbrido; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free access to learning platforms

Hybrid working options

Well-being Hub access

Descripción de la vacante

A leading engineering services firm seeks a Data Science Specialist in Colombia. You will design and validate datasets for analytics and machine learning. Key responsibilities include building data preparation workflows and ensuring data quality. Candidates should have a Bachelor's degree in a quantitative field, 3+ years' experience, and proficiency in SQL and Python. This role offers a supportive environment with opportunities for continuous learning and flexibility in work arrangements.

Formación

• 3+ years of hands-on experience in data-focused roles with significant work building and transforming datasets.
• Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery.
• Strong proficiency in SQL, including complex joins, aggregations, window functions, and performance-aware query design.
• Proficiency in Python for data wrangling, scripting, and automation; experience with libraries such as pandas, NumPy or equivalent.
• Experience with cloud platforms (Azure, AWS, or GCP) and cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• B2 level of English or higher required.

Responsabilidades

• Partner with Data Scientists and Analysts to create analytics-ready datasets.
• Use SQL and Python for data extraction and transformation.
• Build and maintain data preparation workflows.
• Implement data quality checks for accuracy and completeness.
• Support users in understanding table structures and querying best practices.
• Support analysts in understanding table structures, field definitions, and querying best practices.

Conocimientos

SQL proficiency

Python programming

Data transformation and wrangling

Cloud platform experience (Azure, AWS, GCP)

English (B2 level or higher)

Educación

Bachelor's degree in Data Science or related field

Herramientas

pandas

NumPy

Snowflake

Redshift

BigQuery

Descripción del empleo

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your role

We are seeking an experienced Data Science Specialist to join our Data Analytics & AI team in Colombia. In this role, you will design, build, and validate datasets that power analytics, reporting, and machine learning solutions across the company.

In this role you will play a key role in:

• Partnering with Data Scientists, Analysts, and business stakeholders to understand requirements and translate them into well-structured, analytics-ready datasets
• Using SQL and Python to extract, transform, and load data from multiple sources (databases, APIs, files, third-party systems)
• Building and maintaining repeatable data preparation workflows to feed curated tables, views, and data marts
• Implementing data quality checks and validation rules to ensure completeness, accuracy, and timeliness
• Supporting Analysts and business users in understanding table structures, field definitions, and best practices for querying data

Your profile

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related quantitative field
• 3+ years of hands-on experience in data-focused roles with significant work building and transforming datasets
• Strong proficiency in SQL, including complex joins, aggregations, window functions, and performance-aware query design
• Proficiency in Python for data wrangling, scripting, and automation; experience with libraries such as pandas, NumPy or equivalent
• Experience with cloud platforms (Azure, AWS, or GCP) and cloud data warehouses (e.g., Snowflake, Redshift, BigQuery)
• B2 level of English or higher required

What you\'ll love about working here

Empowering environment: Autonomy and Goal setting are among the top scores with 8.4+ ratings in our monthly employee feedback Pulse.

Continuous feedback: We take human-centric approach to foster growth and performance. Our performance management tool GetSuccess enables continuous feedback, quarterly check-ins with managers, and ongoing performance discussions.

Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth. Hybrid working: We encourage flexibility when it comes to when and where works gets done. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.

Free access to learning platforms: Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.

Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data or sustainability, support digital learning in the flow of work from awareness to expert certifications. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem