Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
Senior Data Engineer (dbt / Databricks Migration)
.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.
As part of our commitment to inclusion and in compliance with Law 2466 of 2025 from Colombia, we have available spaces for people with disabilities.
Fixed-term contract
About the Role
Monks is seeking a Senior Data Engineer to join a collaborative engineering pod delivering a data platform modernization project, migrating a legacy Python/Spark ETL framework into dbt Core models on Databricks (Delta Lake, Unity Catalog). You will help modernize a large set of production reporting tables that power analytics, product, and BI functions.
In this role, you will work alongside a Lead Data Engineer and an internal client engineer to handle the end-to-end migration of assigned legacy ETL configurations. You will move beyond maintenance to reverse-engineer legacy logic, author maintainable dbt SQL models, enforce strict testing protocols, and validate data output parity in a structured, documentation-first, PR-reviewed environment.
Key Responsibilities
-
ETL Migration & Modeling: Reverse-engineer existing Python/Spark ETL logic and author corresponding dbt SQL models, staging layers, and foundational shared macros for dimension and domain models.
-
Quality Assurance & Testing: Write comprehensive
schema.ymltests (not_null,unique,relationships) and lead output-parity validations to guarantee newly built models produce output consistent with legacy production pipelines before go-live. -
CI/CD & Delivery: Ship changes through a Git-based, PR-reviewed workflow utilizing automated CI/CD gates (
dbt compile+dbt teston every PR). -
Platform Collaboration: Work natively within Databricks using Delta Lake, Unity Catalog, and Databricks SQL Warehouses in close alignment with internal client engineers.
-
Cross-Functional Partnership: Operate as an embedded partner within a collaborative engineering pod, ensuring seamless integration, knowledge sharing, and adherence to modern data engineering best practices.
About You
Competencies
-
Ownership & Attention to Detail: Rigorous about output parity and data quality, taking full responsibility for models from legacy conversion through production release.
-
Collaborative Mindset: Thrives in an embedded, partnership-driven engagement alongside client engineers rather than traditional handoff setups.
-
Engineering Discipline: Strong commitment to software engineering best practices, documentation-first development, and automated testing workflows.
-
Problem-Solving & Adaptability: Skillful at untangling fragile, hardcoded SQL/Python logic and refactoring it into modular, maintainable architectures.
Qualifications & Skills
-
dbt Core Expertise: 2+ years of hands-on production experience. Comfortable with Jinja macros,
sources.yml,schema.ymltests, and incremental model patterns (dbt Certified Developer preferred). -
Databricks Ecosystem: Proven hands-on experience with Delta Lake, Unity Catalog, and Databricks SQL Warehouses. Exposure to Databricks Workflows for scheduled runs is a plus.
-
Advanced SQL & Legacy Migration: Exceptional skills with CTEs, window functions, and converting custom/legacy Python-based ETL frameworks into modular, source-agnostic dbt SQL models.
-
Git & CI/CD Workflows: Demonstrated experience working in PR-reviewed environments with automated CI/CD testing gates (e.g., GitHub Actions).
-
Validation & Domain Experience (Nice to Have): Experience validating output parity against production data. Familiarity with third-party connectors (e.g., Fivetran), media/e-commerce analytics, or async-first remote delivery is a plus.
.Monks Technology Services does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment.
#LI-Remote
#LI-ES1
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.
