data analyst in fintech

Simple; Deutschland; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Equipment provided

Premium SIMPLE subscription

21 days leave + holidays

Flexible hours

Job summary

Enfint is seeking a Finance Data Engineer to lead the finance data domain for Simple Life, an AI-powered health coaching app. You will own end-to-end data workflows and partner with teams to drive reliable, scalable finance insights.

You will build and maintain data products using Python, SQL, dbt, Snowflake, and Airflow, plus implement monitoring, data quality, and incident resolution with a strong ownership mindset.

Qualifications

• Strong Python and SQL experience in a data engineering or analytics engineering role.
• Experience building data models with dbt.
• Commercial experience with real-world financial or payments data.
• Comfort designing systems that handle messy, duplicated, delayed, or inconsistent input.
• Experience owning reconciliation and/or data-quality processes, including monitoring and incident resolution.
• Strong ownership mindset with the ability to set direction, ask good questions, and keep everyone aligned.

Responsibilities

• Own the finance data domain end to end.
• Develop, maintain, and improve finance data products, including reports, alerts, automations, and financial data models in Pigment using Python, Snowflake, Airflow, and dbt.
• Build and run continuous monitoring for data freshness, completeness, quality, and reconciliation breaks.
• Investigate incidents and drive them to resolution.
• Develop LLM agents to accelerate analysis, tooling, documentation, and automation across the finance data stack.

Skills

Python

SQL

dbt

Data modeling

Data quality

Job description

Описание

Simple Life is an AI-powered health coaching app for adults who want to lose weight and live a healthier lifestyle. The app provides personalized, sustainable support for building healthy habits and has helped millions of users.

Задачи

• Own the finance data domain end to end;
• Develop, maintain, and improve finance data products, including reports, alerts, automations, and financial data models in Pigment using Python, Snowflake, Airflow, and dbt;
• Build and run continuous monitoring for data freshness, completeness, quality, and reconciliation breaks;
• Investigate incidents and drive them to resolution;
• Develop LLM agents to accelerate analysis, tooling, documentation, and automation across the finance data stack.

Требования

• Strong Python and SQL experience in a data engineering or analytics engineering role;
• Experience building data models with dbt;
• Commercial experience with real-world financial or payments data;
• Comfort designing systems that handle messy, duplicated, delayed, or inconsistent input;
• Experience owning reconciliation and/or data-quality processes, including monitoring and incident resolution;
• Strong ownership mindset with the ability to set direction, ask good questions, and keep everyone aligned;
• Nice to have: None specified.

Условия

• Competitive salary package based on expertise, skillset, and impact, plus stock options;
• In-office, remote, and hybrid work opportunities;
• Equipment needed for productive work;
• Premium SIMPLE subscription;
• 21 Days of annual leave plus bank holidays observed where the employee lives;
• Flexible hours focused on results.