freehire launches on Product Hunt on 26 August.

Follow →

Senior Data Engineer

Summary

Senior Data Engineer builds and maintains cloud-based data pipelines and warehouses for Finance reporting, using Snowflake, Airflow, dbt, and Python to deliver reliable, scalable analytics for Roche.

Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.

Model: remote

Employment type: full-time

Role summary

We are looking for a Senior Data Engineer to join our Group Functions Finance domain at Roche. You will be the backbone of a data platform — designing, building, and maintaining the pipelines, transformations, and APIs that power Finance reporting, analytics, and operational tooling across the organization. You will work in a modern cloud-first stack centered around Snowflake, collaborating with data analysts, UX designers, and software engineers to deliver reliable, scalable, and well-governed data solutions. This role requires both deep technical expertise and the ability to translate complex Finance data requirements into clean, production-grade engineering.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver Finance data from multiple source systems into Snowflake.

  • Implement data blending strategies to consolidate data across heterogeneous sources (ERP systems, flat files, APIs, databases) into unified, trusted datasets.

  • Apply Snowflake-native capabilities: dynamic tables, streams, tasks, materialized views, data sharing, and time travel.

  • Model data using dimensional and modern approaches (e.g. Data Vault, medallion architecture) appropriate to Finance use cases.

  • Build and maintain data pipelines using orchestration tools such as Apache Airflow, dbt, or equivalent.

  • Implement CI/CD practices for data pipelines using GitHub Actions or similar, ensuring version-controlled, reviewable, and deployable data code.

  • Design and develop RESTful APIs to expose Finance data to internal web applications and downstream consumers.

  • Collaborate with frontend and full-stack developers to define data contracts and ensure reliable, performant backend integration.

  • Work within cloud environments (AWS) and apply cloud data warehouse best practices around security, scalability, and cost management.

  • Partner with Finance domain experts and analysts to understand data needs and translate them into technical solutions.

  • Mentor junior engineers and act as a technical reference point within the domain.

Requirements

Must-have:

  • 5+ years of experience in data engineering, with at least 2 years working extensively with Snowflake in a production environment

  • Strong hands-on experience with ETL design, data blending, and complex data transformation logic

  • Proficiency in SQL (advanced level) and Python for data engineering tasks

  • Experience building and maintaining data pipelines with orchestration tools (Airflow, dbt, Prefect, or similar)

  • Solid understanding of cloud data warehouse concepts: partitioning, clustering, materialized views, query optimization, and cost governance

  • Proficiency with GitHub for version control, branching strategies, and collaborative code review

  • Experience developing and documenting backend REST APIs (FastAPI or equivalent)

  • Familiarity with CI/CD pipelines for data workloads

  • Fluent English, both written and spoken

Nice-to-have:

  • Experience working with Finance data (general ledger, cost center structures, P&L, FP&A, or similar domains)

  • Experience with SAP (S/4HANA, BW4) or other ERP source systems as data origins

  • Knowledge of data governance frameworks and metadata management tools (e.g. Collibra, DataHub)

  • Exposure to Snowflake's data sharing and Marketplace capabilities

  • Understanding of dimensional modeling

  • Experience in regulated industries (pharma, finance, life sciences)

  • Familiarity with BI tools such as Tableau

Employment conditions:

  • B2B contract, 150 PLN/h

  • Fully remote service delivery,

  • Broad range of projects (internal, international) - genuine variety of clients and tasks,

  • Additional benefits available as part of the collaboration,

  • Networking and team-building events for project teams.