Job title:
Senior Analytics Engineer

Job type:
Permanent

Salary:
Up to €/£70,000 (location and experience dependent)

Role Location:
Portugal, Netherlands or the UK - Remote

The company:
A globally distributed, mission-driven organisation operating a large-scale digital platform across multiple regions. Data is central to how the organisation measures impact, enables decision-making, and continuously improves products and operations. The culture is collaborative, fast-paced, and strongly data-informed.

Role and responsibilities:

• Design, build, and maintain high-quality analytics data models that support reporting, dashboards, and downstream use cases

• Develop and manage scalable transformations using modern analytics engineering practices

• Create consistent semantic layers, metrics, and business definitions across the organisation

• Partner closely with analytics, product, finance, operations, and data engineering teams

• Translate business requirements into reusable, well-structured data models

• Optimise data models for performance, cost efficiency, and long-term maintainability

• Build and maintain documentation, data playbooks, and self-service analytics layers

• Ensure strong standards around data quality, testing, version control, and CI/CD

• Contribute to organisation-wide data modelling standards and data literacy initiatives

• Support exploratory analysis and validation of data behaviour where required

Job requirements:

• Extensive experience in analytics engineering, data engineering, or BI-focused roles

• Strong expertise in SQL and analytics-centric data modelling

• Hands-on experience with dbt and modern ELT workflows

• Solid experience building and optimising Tableau dashboards and models

• Strong analytical skills with the ability to validate assumptions and interpret data patterns

• Working knowledge of Git, CI/CD pipelines, and modern data tooling

• Deep understanding of dimensional modelling, data quality, and best practices

• Ability to communicate complex data concepts to non-technical stakeholders

• Excellent written and spoken English

Nice to have:

• Experience with workflow orchestration tools (e.g. Airflow)

• Familiarity with software engineering best practices (testing, PRs, code reviews)

• Exposure to event-driven or streaming architectures (e.g. Kafka, Kinesis)

Benefits:

• Competitive local benefits and allowances

• Flexible working arrangements (remote / hybrid)

• €500 annual professional development budget

• Generous leave policy, including wellness days and parental leave

• Opportunity to shape a growing data function and analytics platform

• Trust-based culture with minimal bureaucracy

Accessibility Statement:
We encourage applications in the format that works best for you. Please let us know if you require any accessibility adjustments during the application or interview process.

Our Commitment to Diversity, Equity, and Inclusion:
Signify’s mission is to empower every person, regardless of background or circumstance, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.