Senior Data Engineer

Sovos Latinoamérica; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Sovos Latinoamérica in Lisbon is looking for a Senior Data Engineer to own the full data pipeline stack, from ingestion to the trusted, close-ready outputs used by FP&A and leadership.

You will design and build Snowflake schemas and dbt models for the US topline data chain, ensure tests and documentation, and maintain data quality. You’ll expand models to cover OPEX/COGS as scope grows and support AI/BI consumers across the organization.

Qualificações

• 5–8 years of experience in data engineering with production pipelines.
• Advanced SQL skills including CTEs, window functions and complex multi-source queries.
• Hands-on dbt experience with modular models, tests and semantic metadata for AI and BI consumers.

Responsabilidades

• Design and build Snowflake schema and dbt model architecture for the US topline data chain.
• Deliver ingestion and transformation models with full test coverage and documentation.
• Own pipeline reliability through financial close and act as on-call escalation point.
• Establish data quality standards, dbt testing conventions, and Snowflake governance patterns.
• Partner with the Analytics Engineer on model design to map outputs to finance requirements.
• Extend the dbt model layer to cover OPEX, COGS, commissions, and ASC 340-40 capitalized software as scope grows.
• Write dbt YAML documentation with descriptions, column definitions, and grain statements.

Conhecimentos

SQL

Production pipelines

Data pipelines

Ferramentas

dbt

Snowflake

Descrição da oferta de emprego

Build your future with Sovos.

If you’re seeking a career where innovation meets impact, you’ve come to the right place. As a global leader, Sovos is transforming tax compliance from a business requirement to a force for growth while revolutionizing how businesses navigate the ever-changing regulatory landscape.

Build your future with Sovos.

If you’re seeking a career where innovation meets impact, you’ve come to the right place. As a global leader, Sovos is transforming tax compliance from a business requirement to a force for growth while revolutionizing how businesses navigate the ever-changing regulatory landscape.

At Sovos, we’re dedicated to more than just solving compliance challenges – we’re committed to making a positive and lasting difference in everything we do. Our teams operate on the modern edge of digital technology, working not only to solve complex business challenges but also to enrich our personal, professional, and local communities.

Our purpose-built systems provide the tools you need to thrive in a world where governments demand increased visibility, faster reporting and greater control over business processes. Excited about the possibilities? So are we!

Don’t worry if you don’t check all the boxes – apply anyway! We’re focused on hiring the right people, not just the “right” resume. It’s not about what you’ve done elsewhere; it’s all about what you’re capable of doing here.

The Work You’ll Do

At Sovos, we’re building a world-class financial data platform to support a global tax compliance leader – and the Senior Data Engineer is the foundation it all runs on. In this role, you’ll own the full pipeline stack: from ingestion through transformation, all the way to the finance-trusted, close-ready outputs that FP&A, Accounting, and leadership rely on to make critical decisions. You’ll design and build the Snowflake architecture and dbt model infrastructure that underpins our US topline data chain, and you’ll be the person the team counts on when something needs to be fixed before close. This is high-visibility, high-ownership engineering work with a direct line to business impact. You’ll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams.

More Specifically, You Will

• Design and build the Snowflake schema and dbt model architecture for the US topline data chain: Billing → ARR → Deferred Revenue → Rev Rec → Close Pack
• Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases
• Own pipeline reliability through financial close – monitor, alert on, and recover from failures; serve as the primary on-call escalation point
• Establish data quality standards, dbt testing conventions, and Snowflake governance patterns for the broader team
• Partner with the Analytics Engineer on business-layer model design to ensure technical outputs map accurately to finance requirements
• Extend the dbt model layer to cover OPEX, COGS, commissions, and ASC 340-40 capitalized software as scope grows
• Write dbt YAML documentation – table descriptions, column definitions, and grain statements – as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy
• Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance

What We Need From You

• 5–8 years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale
• Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries
• Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumersdia