The Role
Build and maintain scalable data pipelines, ETL processes, data models, dashboards, APIs, MCPs, and RAG pipelines. Ensure data quality, optimize workflows, manage cloud data warehouses, monitor pipeline reliability, and document data processes. Collaborate with data teams and business stakeholders to translate requirements into technical solutions and enable self-service and agentic analytics.
Summary Generated by Built In
Analytics at TRACTIAN
What you'll do
Responsibilities
Requirements
Compensation & Benefits
The Analytics team is responsible for building and maintaining data products and the data platform that supply them. From the most common data products such as Dashboards and Reports to the cutting-edge agentic analytics with MCPs, RAGs, Agents and Data Governance products for the entire organization. We ship to production for internal and external users the data products that are ingested, modeled and enriched in a modern analytics data stack. The team's core objective is to build reliable, groundbreaking and insightful data products from the raw consumption of the data from different sources until the delivery to the consumer.
As a Software Engineer - Data & Analytics, you will build data products by designing, building, and maintaining robust data pipelines and deliver that data through several ways, empowering the business teams and TRACTIAN customer itself with actionable insights. You will work closely with data engineers, analytics engineers and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization and building the forefront of agentic analytics.
Responsibilities
- Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.
- Design, implement, and optimize data models to support reporting and analytical needs.
- Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.
- Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
- Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
- Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
- Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
- Create dashboards as data products as internal or external products
- Create and maintain MCPs, RAG Pipelines, APIs and visualization tools
Requirements
- Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a related field.
- Experience in Data Science or Analytics.
- Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL, MySQL, MongoDB.
- Strong understanding of data warehousing concepts and experience with ETL and data modeling tools (e.g., Airflow, dbt).
- Experience with BI tools (e.g., PowerBi, Looker, Tableau)
- Experience with cloud-based data platforms like AWS Redshift, Google BigQuery and Clickhouse.
- Experience with programming languages such as Python.
- Familiarity with agentic analytics concepts such as: LLM Data Enrichment, MCPs, agentic query building.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Advanced Portuguese and English.
- Competitive salary and stock options
- 30 days of paid annual leave
- Education and courses stipend
- Earn a trip anywhere in the world every 4 years
- R$1.035/month for meals allowance
- Health plan with national coverage and without coparticipation
- Dental Insurance: we help you with dental treatment for a better quality of life.
- Wellhub and Sports Incentive: R$300/mo extra if you practice activities
Skills Required
- Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a related field
- Experience in Data Science or Analytics
- Strong SQL skills for data modeling
- Experience with PostgreSQL, MySQL, and MongoDB
- Understanding of data warehousing concepts
- Experience with ETL and data modeling tools such as Airflow and dbt
- Experience with BI tools such as Power BI, Looker, or Tableau
- Experience with cloud data platforms such as AWS Redshift, Google BigQuery, and ClickHouse
- Experience with Python
- Familiarity with agentic analytics, LLM data enrichment, MCPs, and agentic query building
- Excellent communication skills for explaining technical concepts to non-technical stakeholders
- Advanced Portuguese and English
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Tractian is a machine-intelligence company delivering integrated hardware, cloud software and AI to prevent machine failures and boost industrial uptime. Their offering combines vibration and condition sensors, TracOS maintenance-management software, and AI-driven analytics to enable predictive maintenance, energy optimization and operational visibility for factories and asset-heavy operations globally.
.jpg)
