Senior Analytics Engineer

Top Employers Institute; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Flexible working conditions

Paid volunteer days

4-week sabbatical leave after 5 years

Job summary

Top Employers Institute is hiring a Senior Analytics Engineer to architect and build a cloud-native data platform to improve HR practices for clients. You will design data foundations, implement analytics frameworks, and work closely with various stakeholders to deliver valuable insights.

Join a dynamic team that emphasizes collaboration and personal growth in a multicultural environment. Enjoy a flexible working arrangement and unique benefits such as sabbatical leave after five years and paid volunteer days.

Qualifications

• Expert SQL and strong data modelling skills.
• Production experience with dbt or equivalent.
• Hands-on experience with a cloud warehouse/lakehouse.
• Experience with ELT/ingestion tools.
• Proficiency in Python for data engineering.

Responsibilities

• Design and build the data foundation.
• Own transformation as code.
• Implement a governed semantic layer.
• Manage ingestion and orchestration.
• Deliver governance, security, and observability.

Skills

Expert SQL

Data modelling

Production experience with dbt

Cloud warehouse/lakehouse experience

ELT/ingestion tools experience

Proficiency in Python

Data governance understanding

Job description

This role sits within the Analytics team, part of the broader Digital Team at Top Employers Institute. The Digital Team builds and supports the digital platforms that run our core business, Salesforce Sales Cloud, Experience Cloud (our client portal), Pardot, and CRM Analytics, underpinning processes across Marketing, Sales, Operations (Certifications) and Finance, and giving our clients access to surveys, analytical insights, and best practices.

Within that, the Analytics team drives insight across multiple domains to enable data-informed decisions. For our clients, we build dashboards that turn survey data into deep insight on HR performance to help them improve their HR practices. Internally, we serve the Product team with portal‑usage insights from Google Analytics to optimise the user experience, support Client Success with client‑health analytics that strengthen retention, and give Marketing and Sales lead‑to‑cash analysis that sharpens prospecting and revenue generation.

Today this breadth is delivered on a single‑tool setup. We are now modernising it into a decoupled, cloud‑native platform with a governed semantic layer at its core, one trusted set of metric definitions serving internal reporting, embedded analytics in our client‑facing portal, and a new generation of conversational/agentic analytics. As the Senior Analytics Engineer, you are the foundational engineering hire for that journey: you will architect and build the platform from the ground up, not maintain someone else’s. As the first dedicated platform engineer, your decisions set the standard for how the Analytics team models, governs, and serves data across all of these domains as it grows.

Key Responsibilities

• Design and build the data foundation. Stand up a cloud warehouse/lakehouse and migrate analytical workloads from the legacy single‑tool setup.
• Own transformation as code. Implement version‑controlled, tested dbt pipelines (raw → staging → marts) with CI/CD, documentation, and code review. Include experience with semantic‑layer technologies (dbt Semantic Layer, MetricFlow, Cube, LookML) in this item.
• Implement a governed semantic layer. Define and serve metric definitions consistently to BI, embedded analytics, and AI consumers.
• Ingestion and orchestration. Land data from Salesforce and other sources using managed ingestion (Fivetran/Airbyte or similar) and operate reliable orchestration.
• Governance, security, and observability. Deliver cataloging, lineage, data‑quality tests, observability, and row‑level/tenant isolation for safe external exposure.
• Enable product analytics. Provide a framework‑agnostic data layer for embedded analytics and a foundation for conversational/agentic analytics.
• Set engineering standards. Establish testing, version control, documentation, and review practices for a growing data function.
• Partner with stakeholders. Translate analyst, data scientist, product, and business requirements into reusable, reliable data products.

Qualification Criteria

Must have

• Expert SQL and strong data modelling (dimensional/Kimball and metric/semantic modelling)
• Production experience with dbt (or equivalent), including testing, CI/CD, and git workflows; experience with semantic‑layer technologies (dbt Semantic Layer, MetricFlow, Cube, LookML etc)
• Hands‑on experience with a cloud warehouse/lakehouse (Databricks, Snowflake, BigQuery etc)
• Experience with ELT/ingestion tools (Fivetran, Airbyte) and orchestration (Airflow, Dagster, dbt Cloud)
• Proficiency in Python for data engineering
• Strong understanding of data governance, security, and multi‑tenant/row‑level access control
• Ability to work autonomously and set architecture and engineering standards
• Clear communicator comfortable with non‑technical stakeholders

Nice to have

• Embedded analytics and BI tooling experience (Power BI, Tableau, Qlik, Looker etc)
• Familiarity with Salesforce data model and B2B/Human Resources data domains
• Exposure to conversational analytics, RAG, or text‑to‑SQL patterns
• Experience serving analytics to external customers in a multi‑tenant SaaS context

What Top Employers Institute offers

Purposeful Impact. Global Connections. Versatile Working Environment.

At Top Employers Institute, you collaborate with colleagues worldwide as you shape a career focused on enriching the world of work, bringing your best self.

At Top Employers Institute, we believe in:

• Living our human‑centric approach (flexible working conditions, including the flexibility to work from home or the office)
• Thriving in a multicultural environment
• Growing meaningfully
• Leadership culture based on trust
• Plenty of room for initiatives and own responsibility
• We pay you to pay it forward: we grant you 2 days of paid time off for volunteering for causes you care about
• We want you to stay with us: you will enjoy a 4‑week sabbatical leave paid by the company after 5 years
• Dynamic and strong international culture (more than 30 nationalities spread over 12 offices all around the world)
• Fast growing (20% YoY revenue growth) and sustainable company (founded 30 years ago)
• Be part of a globally recognised leader shaping the future of HR and employer branding.
• Be part of a motivated and fun team in a high‑growth environment where every day brings new challenges, opportunities and rewards
• Collaborate with industry experts and thought leaders to drive meaningful impact
• Competitive compensation, benefits, and career development opportunities

Top Employers Institute is an Equal Opportunity Employer. We respect and celebrate each other’s differences. We know that a diverse workforce enhances our success. We are conscious that having the freedom to be yourself is the basis of sustainable growth. To us, it doesn’t matter where you were born, what you believe in, how old you are, what you look like, or who you love. We actively promote and depend on the diversity of thought, skills, and capabilities in our project teams to serve our international consumer base in the best way possible. We believe that different perspectives and backgrounds actually lift Top Employers Institute to new heights and increase our way of thinking for a better world of work. Join us, as there is a place for you here!