Senior Analytics Engineer — Build Single Source of Truth

BridgeFund; Amsterdam; Hybrid; EUR 66,000 - 73,000; Full time

Benefits offered by this job

Hybrid work model

Pension

Vacation days

Remote work from abroad

Travel allowance

Learning budget

Modern MacBook workspace

Team events

Job summary

BridgeFund is seeking a Senior Analytics Engineer to own the central data foundation and build reliable analytics-ready data models. You will bridge analysts, data scientists, platform engineers and business stakeholders, turning high-level goals into robust, production-grade data solutions. The role focuses on Databricks-based modeling, data quality, and scalable architecture to power AI use cases.

Qualifications

• 5+ years of hands-on experience in Data Engineering or Analytics Engineering.
• Production-level experience with SQL, Python, and CI/CD pipelines.
• Experience with Databricks (or PySpark) and data modeling frameworks.

Responsibilities

• Design, build, and maintain complex, production-grade data models in Databricks (Gold layer) focused on performance, reliability, and reusability.
• Lead requirements sessions with business stakeholders and translate ambiguous needs into technical solutions.
• Solve live and historical data integration challenges to eliminate conflicting metrics across systems.
• Model data from CDC sources to capture full audit histories and change records.
• Build automated quality checks, monitoring dashboards, and alerting systems, with consistent naming conventions and Unity Catalog tagging.
• Define uniform, company-wide metrics and align definitions across the business.

Skills

SQL

Python

CI/CD

Databricks

PySpark

dbt

Kimball

Leadership

Tools

Databricks

PySpark

dbt

Kimball

Job description

BridgeFund is seeking a Senior Analytics Engineer to own the central data foundation and build reliable analytics-ready data models. You will bridge analysts, data scientists, platform engineers and business stakeholders, turning high-level goals into robust, production-grade data solutions. The role focuses on Databricks-based modeling, data quality, and scalable architecture to power AI use cases.