Data Engineer

About the Position

Data Engineer

• Location: Alicante, Comunidad Valenciana, Spain | Ghent, Brussels, Belgium
• Type: Hybrid
• Salary: €56,000 - €105,000 per year

Lansweeper is seeking a Data Engineer to join our Data & Analytics team. This role is pivotal in shaping how our growing SaaS company measures and steers its revenue and product performance.

Responsibilities

For Both Roles:

• Build, maintain, and improve data pipelines and models for executive-level reporting and board-ready metrics.
• Establish a single, trusted source of truth for KPIs, reconciling data across systems of record.
• Build curated data models and semantic layers that power dashboards and reporting.
• Partner with business stakeholders to understand evolving processes and reflect them accurately in data models.
• Investigate data anomalies and trace them back to their source, then work with stakeholders to resolve them.
• Proactively improve data quality and integrity across pipelines to ensure consistent, reliable reporting.
• Support month-end close by monitoring pipelines and ensuring numbers are ready for finance and leadership.

Revenue Analytics Track:

• Own revenue data models covering ARR, MRR, churn, expansion, contraction, and renewal cycles.
• Reconcile revenue data across CRM, billing, and ERP to produce a consistent view of financial KPIs.
• Build and maintain the data foundation for forecasting models, working with analysts to support go-to-market planning.
• Work closely with sales and finance operations to keep revenue models aligned with actual business sales and billing.

Product Insights Track:

• Own product usage and adoption data models covering active usage, feature adoption, engagement, and customer health.
• Integrate product telemetry with commercial data to tie usage to retention and expansion.
• Define and maintain product KPIs together with product management and customer success.
• Build the foundations of self-serve dashboards and insight models that help product teams prioritize and help customer success spot risk and opportunity early.

Requirements

Hard Skills:

• Strong SQL: ability to write, optimize, and debug complex queries against large datasets.
• Data modelling: familiarity with best practices such as dimensional modelling and slowly changing dimensions.
• Pipeline engineering: experience building and maintaining reliable, tested data pipelines, including monitoring and data quality checks.
• Supporting reporting: experience preparing data models that feed business-facing dashboards and reports.
• Strong plus: experience with Snowflake, dbt, Fivetran.

Soft Skills:

• Business understanding: ability to understand how the business works and why the numbers matter, and explain technical decisions and data issues in plain language to non-technical colleagues.
• Stakeholder collaboration: ability to work well with analysts, finance, sales ops, product, and customer success, adapting communication to each.
• Ownership mindset: ability to take initiative, work independently, and drive outcomes without waiting to be directed.
• Reliability: comfort with owning time-critical deliverables, including occasional month-end weekend monitoring as part of a team rotation.

Revenue Analytics Track:

• SaaS financial metrics: solid understanding of how revenue, bookings, churn, ARR, MRR, expansion, contraction, and renewal KPIs are defined and measured.
• Systems reconciliation: hands-on experience resolving data mismatches between CRM, billing, and ERP to produce a reliable single source of truth.
• Nice to have: experience with Salesforce and NetSuite data, or with forecasting models.

Product Insights Track:

• Product and usage data: experience modelling event, telemetry, or usage data, such as active usage, feature adoption, and engagement.
• Linking usage to business outcomes: understanding of how product behavior connects to retention, expansion, and customer health.
• Nice to have: experience with a product analytics tool or with IT asset, security, or infrastructure data.

AI-Specific Skills:

• AI fluency is a hard requirement. You are expected to use AI tooling as a standard part of your day-to-day workflow, including AI-assisted SQL generation and debugging, using AI to accelerate data modelling and anomaly investigation, and leveraging AI features within your tech stack.

We Offer

Benefits - Belgium:

• Meal vouchers
• Eco vouchers
• Hospitalisation insurance
• Group insurance
• Company car or mobility budget
• Phone plan
• Internet allowance

Benefits - Spain:

• Health insurance
• Meal allowance
• Flexible remuneration plan

Additional Perks:

• A high-impact, high-autonomy role at the intersection of data, finance, product, and go-to-market strategy.
• Hybrid working from either Ghent, Belgium or Alicante, Spain.
• A pragmatic, collaborative data team that values ownership and real-world impact.
• The opportunity to build the revenue and product analytics foundation of a scaling SaaS company.
• A front-row seat to how leadership uses data to steer the business, with your work directly influencing strategic direction.

About the Company

Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence. We transform raw asset data into a continuously validated, trusted source of truth, enabling teams to move faster and act with certainty.

Our culture is built on four core values:

• One Team – United across boundaries
• We Care – Customers and people at the centre
• We Grow – Learning, sharing, improving
• We Deliver – Focusing on what truly matters

Pay Transparency

At Lansweeper, every role is assigned to a level based on expertise, complexity, and scope of impact. Each level maps to a salary band based on industry benchmarks. Your pay reflects the market rate for comparable roles.

We welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.

Diversity Statement

Lansweeper provides equal employment opportunity to all applicants and employees. We disapprove of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.

Ready to Join Us?

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