Senior Systems Engineer - Data and Integrations
Fivetran is hiring a Senior Systems Engineer - Data and Integrations in Novi Sad, Serbia. Level rates it ; you can apply on Fivetran.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Salesforce, NetSuite and Coupa.
- Level classifies it as a senior role.
- Level lists 159 other open roles at Fivetran.
AI in this role
Design and maintain internal business data pipelines, integrations, and data models across core enterprise systems.
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.
About the Role
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!
What You’ll Do
- 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 non-technical colleagues.
Bonus Skills
- Experience with dbt or a similar transformation framework.
- Hands-on experience with the Salesforce data model, ideally including a data migration, org merge, or major re-implementation.
- Familiarity with iPaaS platforms and reverse ETL tools, their capabilities, and tradeoffs.
By stepping into this role, you'll own the quality, structure, and reliability of the data that powers Fivetran's key business processes!
#LI-NR1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
How we rate this
Senior Systems Engineer - Data and Integrations at Fivetran rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Walk me through how you've used Salesforce in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Modeling, ETL, Data Governance, and Salesforce. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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