Hybrid Data Engineer – Finance Analytics & Power BI

Gen II; New York (NY); Hybrid; USD 75,000 - 90,000; Full time

Job summary

Gen II is seeking an entry level Junior Data Engineer to support the data capability within the Finance function. You will join a growing data platform, collaborating with the Senior Data Engineer to build pipelines from source systems to Power BI and other end-user tools.

The ideal candidate has a technical background in data analytics, data science, or data engineering and will grow with the team as the platform expands across functions to drive business insights and improved decision making.

Qualifications

• Bachelor’s degree in Computer Science, Data Science or similar/related discipline.
• 1+ years’ experience in data related field, primarily working with cloud data warehouses.
• Strong SQL and Python required.
• Snowflake and DBT exposure are preferred.
• Exposure and knowledge of data pipelines is a plus.
• Basic Power BI knowledge.
• Knowledge & understanding of data architecture and modelling.
• Strong interpersonal skills, both written and verbal.
• Strong commercial understanding of the value of data and potential use cases it underpins.

Responsibilities

• Assisting in building and maintaining a best-in-class data platform built on Snowflake and dbt.
• Supporting development of end-to-end data pipelines, from source systems to end consumers primarily in Power BI.
• Following established compliance with security and ensuring organizational standards are maintained within the boundaries of the data platform.
• Contribute to other projects and duties as assigned by the Finance Team.

Skills

SQL

Python

Cloud data warehouses

Snowflake

DBT

Power BI

Data pipelines

Data architecture

Interpersonal skills

Commercial understanding of data value

Education

Bachelor’s degree in Computer Science or related field

Data Science background

Tools

Snowflake

DBT

Power BI

Job description

Gen II is seeking an entry level Junior Data Engineer to support the data capability within the Finance function. You will join a growing data platform, collaborating with the Senior Data Engineer to build pipelines from source systems to Power BI and other end-user tools.

The ideal candidate has a technical background in data analytics, data science, or data engineering and will grow with the team as the platform expands across functions to drive business insights and improved decision making.