Senior Data Engineer

Wymagane, etl, Snowflake Data Cloud, RestAPI, CI/CD, SQL

Mile widziane, SAP

O projekcie, 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.

Tak pracujemy, u klienta, agile

Twój zakres obowiązków, 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.

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

Mile widziane, 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

To oferujemy, 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.

Craftware Sp. z o.o., 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.

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