Senior Data Engineer

Sovos; Lisboa; Presencial; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Life Insurance

Meal Allowance

Learning & Development Opportunities

Resumo da oferta

Sovos in Lisbon is seeking a Senior Data Engineer to lead the development of a financial data platform. In this pivotal role, you will design and build the Snowflake architecture and ensure the integrity of data pipelines that support finance operations.

Join a dynamic team where your expertise in dbt and advanced SQL will shape the future of automated financial reporting. Enjoy great benefits like health insurance and a supportive work environment focused on learning and development.

Qualificações

• 5-8 years of experience in data engineering.
• Advanced SQL skills for complex financial queries.
• Experience with production dbt and Snowflake environments.

Responsabilidades

• Design and build Snowflake schema and dbt models.
• Ensure pipeline reliability through monitoring.
• Establish data quality standards and governance patterns.

Conhecimentos

Data engineering

SQL

dbt

Snowflake

Communication

Python

Ferramentas

Azure

AWS

NetSuite

Salesforce

Descrição da oferta de emprego

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 consumers
• Snowflake proficiency: roles, warehouses, governance, masking policies, and row‑level security – not just querying, but owning the environment
• Experience supporting financial close cycles, including on‑call ownership of pipeline failures; understands what WD1 means and why it matters
• Fluency in the revenue data chain (Billing → ARR → Deferred Revenue → Rev Rec → Close Pack) with the ability to engage finance stakeholders directly on data discrepancies
• Strong communication skills: able to explain technical trade‑offs to non‑technical audiences and write documentation that finance analysts can use to validate outputs
• Preferred: Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental loads
• Preferred: Python for pipeline scripting and orchestration
• Preferred: Cloud infrastructure experience: Azure (App Service, Azure AD, Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals
• Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data
• Preferred: Background in B2B SaaS metrics: ARR (Annual Recurring Revenue), GRR (Gross Revenue Retention), NRR (Net Revenue Retention), churn, and deferred revenue
• Preferred: Familiarity with data governance practices: PII handling, access control, and GDPR basics
• Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience
• Nice to Have: MLOps or ML pipeline experience
• Nice to Have: Domain knowledge in compliance, tax technology, or e‑invoicing

What Does Sovos Offer You?

• Health Insurance
• Life Insurance
• Personal Accidents Insurance
• Meal Allowance
• Continuing opportunities for further Learning & Development
• A chance to work with talented and passionate people in a rewarding and values‑driven environment!

Sovos is an equal opportunity employer committed to providing an environment that celebrates diversity and where equal employment opportunities are available to all applicants and employees. We do not discriminate against race, color, religions, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic provided by law. At Sovos, all employees are encouraged to bring their whole selves to work.