1 week ago

Senior Analytics Engineer (Technical Data Analyst)

BridgeFund

Amsterdam Area

1 week ago

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BridgeFund is seeking a Senior Analytics Engineer to own and build the company's central data foundation, eliminating conflicting metrics and establishing a single source of truth. The role involves designing production-grade data models in Databricks, leading requirements sessions, and bridging analysts, data scientists, and platform engineers. Requires at least 5 years of data or analytics engineering experience with SQL, Python, and CI/CD.

HybridFull-timeSeniorSQLPython

Senior Analytics Engineer (Technical Data Analyst)

Apply

HybridFull-timeSeniorSQL

Salary

Not specified

Work Location

Amsterdam Area, NL

Work Model

Hybrid model, requiring three days per week in our office

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

SQLPythonCI/CDDatabricksdbtKimballData ModelingCDCUnity CatalogVersion ControlAutomated Testing

Soft Skills

Self-leadershipCommunicationProblem SolvingStakeholder Management

Preferred Qualifications

Technical (Nice-to-have)

PySpark

Key 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 (Finance, Product), translate ambiguous needs, and act as the primary liaison to Platform and AI engineering teams.
•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, implement consistent naming conventions, and tag models in Unity Catalog.
•Play a key role in defining uniform, company-wide metrics and actively align definitions and interpretations across the business.
•Champion software engineering best practices, including version control, automated testing, and CI/CD pipelines.

Analytics EngineeringData EngineeringFinancial ServicesDatabricksSQLPythondbtSeniorHybridAmsterdam

Key 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 (Finance, Product), translate ambiguous needs, and act as the primary liaison to Platform and AI engineering teams.

•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, implement consistent naming conventions, and tag models in Unity Catalog.

•Play a key role in defining uniform, company-wide metrics and actively align definitions and interpretations across the business.

•Champion software engineering best practices, including version control, automated testing, and CI/CD pipelines.