Systems Engineer II

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Systems Engineer, Data and Integrations to join our Systems Engineering team and own the data that runs Fivetran's business. In this role, you will learn the data models behind our sales, billing, and customer operations, design how data should be structured to support those processes, and build the transformations and pipelines that move data reliably between our internal systems.

This position sits at the crossroads of data engineering, data modeling, and business process, ensuring our internal data is accurate, well-structured, and ready to scale. You will partner closely with our Systems and Analytics Engineering teams, as well as Sales Operations, Finance, and other business partner teams.

This is a full-time position based out of our Novi Sad, Serbia office.

Technologies You’ll Use Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with Salesforce at the center of our sales and billing data. Our current integration stack includes Celigo and Fivetran itself.

Working knowledge of one or more of our business applications, with a desire to keep learning, is necessary. You should also be fluent in SQL and strong in a general purpose programming language such as Python or Typescript.

A data engineering background is strongly preferred, with proficiency in data modeling, ETL/ELT development, data quality testing, and data validation. Help us bring established data engineering practices to internal business systems!

• Learn the data models behind Fivetran's sales, billing, and product operations, and document how business concepts map to data in our core systems.

• Design target data models and field mappings when consolidating or migrating data between systems.

• Build, test, and execute the SQL and Python transformations that reshape and load business data, including bulk migrations and ongoing pipelines.

• Define and enforce standards for data quality, data modeling, and governance across internal systems.

• Validate data before and after migrations and pipeline changes, reconciling record counts, values, and business rules with stakeholders.

• Build monitoring, alerting, and data quality checks that give end-to-end visibility into data freshness and accuracy.

• Work with business partner teams to understand their processes and translate requirements into data models and transformations.

• Investigate and resolve data issues raised by other teams, often requiring root cause analysis across multiple systems.

Skills We’re Looking For

• 5+ years of experience in Data Engineering or Analytics Engineering roles, with a focus on modeling and transforming business data.

• Strong SQL proficiency is required, including complex transformations and data reconciliation.

• Proficiency in a general purpose programming language is required.

• Working knowledge of business applications such as Salesforce, Netsuite, Coupa, Workday, and Zendesk.

• Experience with ETL/ELT development and data quality testing.

• Ability to learn a business domain quickly and align data modeling decisions with business requirements.

• Strong communication and collaboration skills with both technical and