About Dialectica
Dialectica is a leading B2B information services firm that serves the world's top consulting, investment and largest corporate businesses, by enabling them to gather real-time information and insights from industry experts across various markets, industries, and regions.
Driven by our mission to achieve unparalleled customer recognition, we are developing the most trusted and innovative knowledge-sharing platform in the world.
Dialectica has been recognized as one of Europe’s fastest-growing companies by the Financial Times for 5 years in a row, a Top Employer for Recent Graduates by The Career Directory in Canada and a Best Workplace.
We believe in supporting our people to do their best work and grow, and building a dynamic, empowering, and respectful workplace is core to our purpose: Accelerate the shift to a prosperous society by empowering better decision-making.
For more information, visit: https://www.dialectica.io/
About the Tech Team
Technology powers everything we do at Dialectica. To date, the team consists of 100+ people across Software Engineering, Product & Design, and TechOps, and is expected to grow further in 2026. We have built our own proprietary web application that automates and optimizes the delivery of our market-leading services.
Our stack is diverse and modern. We don't just do data; we build full-scale applications using technologies like TypeScript, React, Node.js, Go, GraphQL, and Kubernetes alongside our core data stack on AWS.
About the Role: The "Super Weapon" We Need
We are not just looking for someone to build ETL pipelines. We are seeking a Staff Data Engineer with a Full Stack mindset—a technical leader capable of bridging the gap between application development and data infrastructure.
You are the missing link. You understand that data quality begins in the microservice that generates an event, not just in the data warehouse. You are capable of looking at the entire lifecycle of information: from the React frontend user action, through the Node.js/Go backend services, down into the Data Lake, and back up into high-performance APIs for analytics.
In this critical leadership role based out of our Bogota hub, you will architect systems where data is treated as a first-class software product. You will mentor senior engineers, define our long-term technical strategy for data, and ensure our architecture can scale exponentially.
As a Staff Data Engineer (Full Stack Focus) you will:
- Architect End-to-End Systems: Go beyond traditional data pipelining. Design and oversee the implementation of complex, distributed data architectures that span ingestion, processing, storage, and serving layers on AWS.
- Bridge App & Data: Collaborate deeply with Backend and Frontend engineering teams during the design phase of new features. You will influence database schema design in microservices and define event emission standards to ensure data is usable downstream before code is even written.
- API & Consumption Layer Design: Don't just dump data into a warehouse. Architect high-performance data access layers (e.g., GraphQL APIs, low-latency lookups via Redis) that allow our product teams to consume processed data easily and efficiently in the UI.
- Elevate Engineering Standards: Define and enforce best practices for Infrastructure as Code (Terraform), CI/CD for data products, data testing, and observability capabilities across the entire stack.
- Technical Leadership & Mentorship: Serve as a technical beacon for the data organization. Mentor Senior Data Engineers, conduct high-level code reviews, and drive pragmatic technical decision-making that balances immediate business needs with long-term scalability.
- Solve the "Hardest" Problems: Take ownership of the most complex, intractable technical challenges related to data consistency, real-time processing, and cross-system integrations.
Requirements
We have seen that people who successfully fit in this position have:
- 8+ years of combined experience in Software Engineering and Data Engineering, with at least 3 years operating at a Senior or Lead level.
- True "Full Stack" Exposure: You must have a background in core software engineering beyond just SQL and Python scripts. You should be comfortable navigating backend codebases (e.g., Node.js, Go, or Python application code) to understand how data is generated.
- Mastery of Modern Data Stacks: Deep expertise in Python, advanced SQL, and architecting Production Data Lakes/Warehouses on cloud platforms (AWS preferred).
- Architectural Expertise: Strong background in distributed systems design, event-driven architecture (Kafka, Kinesis, SNS/SQS), and microservices patterns. You understand the trade-offs between consistency and availability (CAP theorem) in real-world scenarios.
- Infrastructure as Code: Deep hands-on experience with Kubernetes, Docker, and Terraform. You don't just use infrastructure; you design it.
- Advanced Tooling: Expert-level knowledge of orchestration tools (Airflow, Dagster) and modern transformation tools like DBT.
- A Product Mindset: You don't just serve data; you understand the business value of what you are building and how it impacts the end-user experience.
- Fluency in English is a must.
Bonus points for "Super Weapons":
- Experience implementing or heavily utilizing GraphQL for a data-heavy frontend.
- Experience migrating monolithic applications/databases toward event-driven microservices.
- Active contributions to open-source data or infrastructure projects.
Benefits
- Competitive salary pegged to international standards with performance incentives.
- Premium Prepaid Medicine (Medicina Prepagada) coverage.
- Flexible Hybrid or Remote work model based in Bogota.
- Extra personal/flex days and paid volunteer days.
- Learning and development budget (Udemy, conferences, certifications).
- Entrepreneurial culture and amazing coworkers across 3 continents.
- Company-sponsored team-bonding events and wellness activities.
