Finance Data Platform Engineer – Hybrid (4 days in office)

Basic-Fit; Hoofddorp; Hybrid; EUR 39,000 - 59,000; Full time

Benefits offered by this job

Learning & Development

Career Growth

4 days in the office, 1 day from home

Innovation

Salary: 3,500–5,300 EUR gross monthly

Perks & Benefits: Travel allowance

Bike plan

Health insurance discounts

Remote work allowance

Fitness access

Job summary

Basic-Fit is building a central Databricks platform for finance. As the Forward Deployed Engineer for Finance, you will be embedded with Finance and the Data Platform Team, building end-to-end data solutions that meet governance and security standards.

In a typical week you’ll ingest financial data (e.g., SAP) into Databricks, validate quality, modernise data solutions, model data, collaborate with Finance, and push production code with CI/CD and secure practices.

Qualifications

• 3+ years of hands-on experience in data engineering.
• Strong SQL and Python skills, with hands-on Databricks and Spark experience.
• Experience working with financial data (e.g. SAP, ledgers, reconciliations) and a good understanding of finance processes.
• Experience building and running ingestion pipelines from business systems, APIs and files.
• Experience with data quality: validation, reconciliation and monitoring.
• Experience with CI/CD, version control and secure engineering practices.
• Experience working directly with business stakeholders, and comfortable splitting your time between a business team and a central team.
• Curiosity about the newest Databricks features and how they can help Finance.
• Excellent communication skills in English.

Responsibilities

• build and run the ingestion of financial data from sources such as SAP into Databricks
• ensure the quality of ingested data through validation, reconciliation and monitoring (source data stays with its owners)
• rebuild and modernise existing finance data solutions on Databricks
• model financial data so it is consistent, documented and easy to use
• work with Finance to understand how they use data and make sure the platform fits
• run your solutions in production to our engineering standards
• use AI to speed up engineering and documentation work

Skills

SQL

Python

Databricks

Spark

Financial data

CI/CD

Stakeholders

Communication

English

Tools

Databricks

Spark

Job description

Basic-Fit is building a central Databricks platform for finance. As the Forward Deployed Engineer for Finance, you will be embedded with Finance and the Data Platform Team, building end-to-end data solutions that meet governance and security standards.

In a typical week you’ll ingest financial data (e.g., SAP) into Databricks, validate quality, modernise data solutions, model data, collaborate with Finance, and push production code with CI/CD and secure practices.