Senior Data Engineer

VFX Financial

8d•Hybrid

About The Position

You will own the design, reliability, and evolution of VFX’s data platform, enabling scalable data pipelines, strong data governance, and high-confidence analytics across the organisation. This is a hands-on senior role with clear ownership of standards and outcomes. You will drive improvements across the full data lifecycle, ensuring data is accurate, reliable, and fit for purpose, while challenging poor practices and embedding scalable, well-governed solutions. This role can be hybrid at our office in Portimao or fully remote across Portugal.

Requirements

5+ years of experience in data engineering or closely related roles.
Advanced SQL skills and strong programming ability in Python or an equivalent language.
Proven experience running dbt in production environments.
Deep experience with modern cloud data warehouses. Snowflake strongly preferred.
Strong understanding of DataOps including CI/CD, testing strategies, and deployment pipelines.
Demonstrated experience designing data models for analytics and product use cases.
Track record of improving reliability, observability, and performance of data systems.
Ability to operate autonomously and drive technical decisions across teams.
Strong communication skills with the confidence to challenge assumptions and push back when required.

Nice To Haves

Experience with streaming or near real time data pipelines.
Experience with data governance frameworks and regulated environments, particularly fintech.
Familiarity with cost optimisation techniques in Snowflake or similar platforms.

Responsibilities

Own the end to end data platform including ingestion, transformation, storage, and consumption.
Design and maintain scalable, reliable, and cost efficient data pipelines.
Define and enforce data modelling standards including dimensional models and semantic layers.
Build and maintain dbt projects including models, tests, macros, and documentation.
Establish strong DataOps practices including CI/CD, automated testing, deployment workflows, and version control.
Implement and enforce data contracts, SLAs, and data quality standards.
Drive observability across the data platform including monitoring, alerting, lineage, and incident response.
Lead root cause analysis for data issues and eliminate systemic failures.
Optimise performance and cost across the data platform, with a strong focus on warehouse usage.
Partner with product, analytics, and engineering teams to define and deliver reliable data products.
Contribute to data platform strategy, architecture decisions, and tooling selection.