Senior Data Engineer (Puerto Vallarta)

Senior Data Engineer (Puerto Vallarta)

01 sep
|
Avacone
|
Puerto Vallarta

01 sep

Avacone

Puerto Vallarta

Description
The Opportunity
We are supporting a major
data platform transformation within a banking environment
, moving from a legacy SQL Server and SSIS-based setup to a modern, scalable architecture built on
dbt, Dagster, and OpenShift
.
This role is not about maintaining existing systems. It is about
rebuilding a critical data platform from the ground up
, with direct impact on
risk, trading PnL, and core financial data flows
.
We are looking for a
hands-on Senior Data Engineer
who can take ownership of complex migration workstreams and deliver reliably in a regulated, high-stakes environment.
What You Will Do
You will play a central role in the
end-to-end migration and modernisation
of the data platform.
Platform Transformation
Translate legacy ETL logic from SSIS and stored procedures into modern
ELT pipelines using dbt
Implement
Data Vault 2.0 structures
including Raw Vault and Business Vault
Build
datamarts and curated datasets
for downstream analytics and reporting
Orchestration & Infrastructure
Design and operate workflows using
Dagster
, including scheduling, dependencies, and recovery mechanisms
Deploy and run data workloads on
OpenShift / Kubernetes environments
Event-Driven Data Processing
Enable
near real-time data processing
using Kafka-triggered pipelines
Integrate with upstream data lake environments and external data providers
Data Quality & Validation
Establish robust
data validation and reconciliation processes
Implement automated testing and monitoring using dbt




Operational Ownership
Support production pipelines and resolve incidents when required
Create clear documentation and ensure operational readiness
Continuously improve performance, reliability, and maintainability
What You Will Do
You will play a central role in the
end-to-end migration and modernisation
of the data platform.
Platform Transformation
Translate legacy ETL logic from SSIS and stored procedures into modern
ELT pipelines using dbt
Implement
Data Vault 2.0 structures
including Raw Vault and Business Vault
Build
datamarts and curated datasets
for downstream analytics and reporting
Orchestration & Infrastructure
Design and operate workflows using
Dagster
, including scheduling, dependencies, and recovery mechanisms
Deploy and run data workloads on
OpenShift / Kubernetes environments
Event-Driven Data Processing
Enable
near real-time data processing
using Kafka-triggered pipelines
Integrate with upstream data lake environments and external data providers
Data Quality & Validation
Establish robust
data validation and reconciliation processes
Implement automated testing and monitoring using dbt




Operational Ownership
Support production pipelines and resolve incidents when required
Create clear documentation and ensure operational readiness
Continuously improve performance, reliability, and maintainability
Requirements
What You Bring
Technical Expertise
Strong experience with
SQL Server and T-SQL
, including performance optimisation
Proven hands-on experience with
dbt
in production environments
Solid experience with
workflow orchestration tools
, ideally Dagster
Practical knowledge of
Data Vault 2.0 modelling concepts
Experience working with
container platforms such as OpenShift or Kubernetes
Familiarity with
event-driven architectures and Kafka
Domain Experience
Experience working with
financial data
, ideally in banking or trading environments
Understanding of
risk and PnL data structures
is a strong advantage
Working Style
Strong ownership mindset with the ability to work independently
Structured, pragmatic, and delivery-focused
Comfortable operating in complex and regulated environments
Clear communicator across both technical and business stakeholders
What Success Looks Like
Within the first months, you will have:
Delivered initial
Data Vault structures and migrated datasets
into the new platform
Established
stable, event-driven pipelines
Ensured
data consistency and validation
between legacy and new systems
Contributed to a
production-ready, scalable data platform

📌 Senior Data Engineer (Puerto Vallarta)
🏢 Avacone
📍 Puerto Vallarta

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