Senior Data Engineer L2 or Manager (GCP + Snowflake)

Nodi; Bogotá; On-site; COP 190,967,000 - 286,451,000; Full time

Job summary

MPS Group in Bogotá, Colombia is seeking a Senior Data Engineer to design, build, and maintain modern data platforms using Snowflake and Google Cloud Platform. The role emphasizes data migration, integration, and data product enablement with a focus on governance and documentation.

The ideal candidate combines strong data engineering expertise with knowledge of data modeling, metadata management, and IaC practices. Familiarity with YAML configurations and DataOps concepts is highly valued.

Qualifications

• 5+ years in Data Engineering or related roles.
• Strong hands-on Snowflake experience in production.
• Experience building data solutions on GCP services such as BigQuery, Cloud Storage, Dataflow, or Composer.
• Proficiency in SQL and Python.
• Experience with metadata management, data catalogs, and governance concepts.

Responsibilities

• Design scalable data pipelines on Snowflake and GCP.
• Lead data migration initiatives between enterprise platforms.
• Build data models to support analytics, reporting, and data products.
• Develop metadata-driven solutions with governed data assets.
• Create and maintain YAML configurations and deployment artifacts.
• Collaborate with architects and stakeholders to translate requirements into solutions.
• Produce technical documentation for data products, pipelines, and runbooks.
• Support CI/CD and IaC practices for data platforms.

Skills

Snowflake

Google Cloud Platform

SQL

Python

Data modelling

Metadata management

CI/CD

Terraform

Data governance

Tools

Terraform

DataHub

Collibra

Alation

Job description

Interested in this role?

About MPS Group

At MPS Group, we empower businesses with cutting-edge technology solutions and expert consulting. We proudly serve a diverse range of industries, including IT, Fintech, Airlines, Energy, and more. Our expertise spans front-end technologies (React, Angular, Vue.js), back-end technologies (Java, .NET, Node.js, Python), and comprehensive Data Solutions (Database, Data Warehousing, BI, Reporting, Analytics). Our services include custom software development, QA Testing (SDET), Automation Testing, IT staffing, business development consulting, and DevOps services. We adopt both Agile and Waterfall methodologies, offering flexibility through onshore, nearshore, and offshore delivery models. From cloud solutions (Microsoft Azure, AWS, GCP) to digital advisory and project management, we craft innovative, tailored strategies designed to meet your specific business goals and drive long-term success.

About the Role

We are looking for a Senior Data Engineer with strong hands-on experience designing, building, and maintaining modern data platforms using Snowflake and Google Cloud Platform (GCP). This role will focus on data migration, data integration, and data product enablement initiatives, helping organizations build scalable, governed, and well-documented data ecosystems. The ideal candidate combines solid data engineering expertise with a strong understanding of data modelling, metadata management, and data product documentation. Experience with Infrastructure as Code (Terraform) and metadata-driven architectures is highly valued. Documentation and ownership of data assets are key aspects of this role.

Responsibilities

• Design and implement scalable data pipelines and ingestion frameworks using Snowflake and Google Cloud Platform.
• Lead and support data migration initiatives between enterprise data platforms, including Snowflake-based environments.
• Build, optimize, and maintain data models that support analytics, reporting, and data product consumption.
• Develop and manage metadata-driven solutions, ensuring data assets are discoverable, governed, and reusable.
• Create, maintain, and enhance YAML-based configurations, metadata definitions, and deployment artifacts.
• Collaborate with architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Produce high-quality technical documentation for data products, pipelines, operational processes, and platform capabilities.
• Support CI/CD and infrastructure automation practices, leveraging Infrastructure as Code principles where applicable.

Requirements

• 5+ years of experience in Data Engineering or related data platform roles.
• Strong hands-on experience with Snowflake in production environments.
• Experience building data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Composer, or equivalent GCP services).
• Proven experience delivering data migration or modernization projects involving Snowflake and cloud-based data platforms.
• Strong understanding of dimensional modelling, data warehousing, and data modelling best practices.
• Experience working with metadata management, data cataloging, and data governance concepts.
• Proficiency in SQL and one or more programming languages such as Python.
• Experience creating technical documentation, data product documentation, and operational runbooks.
• Experience authoring and maintaining YAML-based configurations, metadata definitions, or declarative frameworks.
• Hands-on experience with Terraform and Infrastructure as Code practices (highly valued).
• Experience implementing metadata-driven data platforms or DataOps frameworks (highly valued).
• Familiarity with data cataloging tools such as DataHub, Collibra, Alation, or similar platforms (highly valued).
• Experience defining data products, ownership models, and data contracts (highly valued).
• Knowledge of CI/CD pipelines and automated deployment patterns for data platforms (highly valued).

Benefits will be discussed during the hiring process.