We're Hiring: Finance Data Engineer

We're looking for a rare hybrid — someone who speaks both the language of finance and data engineering.

What you'll do:

→ Design & build ELT/ETL pipelines to ingest data from Excel, ERP systems, APIs & flat files

→ Automate financial close processes — GL, AP/AR, consolidation reporting

→ Build robust ingestion frameworks using Python, SQL & tools like dbt/Airflow/ Dataflow / Data Fusion or Azure Data Factory

→ Partner with FP&A and Accounting teams to deliver self-serve reporting

🛠 You're a great fit if you have:

Ø Strong Python & SQL skills for data engineering

Ø Hands-on ETL/ELT experience (dbt / ADF / Airflow / Glue / Dataflow / Data Fusion)

Ø Deep knowledge of finance & accounting concepts (GL, ERP, GAAP/IFRS, Gross-to-Net (GTN))

Ø Experience with Snowflake, Databricks or similar platforms

Ø Bonus: Pharma/life sciences domain knowledge (GxP, SAP, Veeva)

Location: Hybrid | 🕐 Experience: 4–8 years | 🏭 Industry: Pharma / Life Sciences

If you're someone who can turn messy spreadsheets and fragmented finance data into clean, reliable pipelines — we want to talk.

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