Analytics Engineer: Databricks BI & Data Modeling (Hybrid)

landal; Amsterdam; Hybrid; EUR 45,000 - 64,000; Full time

Benefits offered by this job

Annual contract with trial period

Salary between €4,000 and €5,700 gross

Bonus scheme

27 days holiday

Flexible working hours

Home working allowance

Travel allowance

Public transport reimbursement

Training and education options

Recreation pension fund

Staff booking scheme

Job summary

Landal is seeking an Analytics Engineer to bridge business and IT, translating needs into BI solutions using Databricks, DBT, and Power BI. You will develop analytics data models and semantic layers to support Finance, Commerce, and Operations, contributing to Customer 360 and cost‑to‑LTV analytics under guidance from the Lead Analytics Engineer.

The role blends hands‑on development with advisory duties. You will work from our Amsterdam HQ with some remote work options, ideally 3 days in the

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline.
• Proven experience as Data Analyst or Analytics Engineer.
• Strong BI and analytics tool proficiency (Power BI, DBT, Databricks, Power Apps) and SQL.
• Experience with data modeling (Kimball) and semantic models.
• Hands-on experience creating comprehensive business reports and interactive dashboards.

Responsibilities

• Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards.
• Develop and maintain Power BI dashboards, semantic models, and metric definitions for stakeholders.
• Write and optimize SQL transformations and collaborate with Data Engineers on ingestion pipelines across Azure and GCP.
• Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.
• Translate requirements into analytics solutions with stakeholders and monitor data accuracy.

Job description

Landal is seeking an Analytics Engineer to bridge business and IT, translating needs into BI solutions using Databricks, DBT, and Power BI. You will develop analytics data models and semantic layers to support Finance, Commerce, and Operations, contributing to Customer 360 and cost‑to‑LTV analytics under guidance from the Lead Analytics Engineer.

The role blends hands‑on development with advisory duties. You will work from our Amsterdam HQ with some remote work options, ideally 3 days in the