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Sales Operations Database Administrator

London, London, United Kingdom

Live, first seen by us 88 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Maintain and improve Python API jobs that bring in data from across Fortinet

  • Maintain ETL scripts and SQL queries that power Tableau

  • Manage indexing, data cleanups and database performance

  • Assess new data tools and check databases can handle future and LLM workloads

  • Build and maintain the data foundation for AI and LLM-based tools

From the employer’s posting
Maintain API Jobs: our data comes from different places at Fortinet, most of these processes are written in Python
You will be expected to maintain ETL scripts and other SQL Queries that make our BI Tool (Tableau) operate.
We also expect you to manage indexing, cleanups and good performance practices.
you will be expected to proactively review and help assess new tools that can make our processes better and faster
you will play a key role in building and maintaining the data foundation that powers AI and LLM-based tools across the organization.

What you’ll bring

All qualifications

Core experience

  • Strong Python for building and maintaining data pipelines, API integrations, and automation scripts.
  • Experience monitoring database systems for capacity and performance.
  • Proven experience designing and maintaining ETL processes feeding BI/reporting tools.
  • Experience with Tableau as a data source owner, not just a report consumer.
Qualification wording
Strong Python for building and maintaining data pipelines, API integrations, and automation scripts.
Experience monitoring database systems for capacity and performance.
Proven experience designing and maintaining ETL processes feeding BI/reporting tools.
Experience with Tableau as a data source owner, not just a report consumer.
Apply at Fortinet

Posting record

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Status in our records
Live
First seen by us
Aug 11, 202688 days ago
Recorded sightings
272
Last seen by us
Nov 8, 2026
Employer says posted
Aug 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 88

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 11,532 similar postings that came down. Coming down is not always a hire.

Fortinet is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

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  • Python
  • SQL
  • Tableau
  • PostgreSQL
Where the posting names them
Responsibilities: - Maintain API Jobs: our data comes from different places at Fortinet, most of these processes are written in Python, the successful applicant will be expected to maintain, improve and add new processes. - Database work: we currently run most of our data under Microsoft SQL, we also leverage Mongo and Postgres. You will be expected to maintain ETL scripts and other SQL Queries that make our BI Tool (Tableau) operate. We also expect you to manage indexing, cleanups and good performance practices.
Required Skills: - Strong Python for building and maintaining data pipelines, API integrations, and automation scripts. - Advanced SQL, with hands-on experience in RDBMS and data lakes.
- Maintain API Jobs: our data comes from different places at Fortinet, most of these processes are written in Python, the successful applicant will be expected to maintain, improve and add new processes. - Database work: we currently run most of our data under Microsoft SQL, we also leverage Mongo and Postgres. You will be expected to maintain ETL scripts and other SQL Queries that make our BI Tool (Tableau) operate. We also expect you to manage indexing, cleanups and good performance practices. - Exploring new solutions: you will be expected to proactively review and help assess new tools that can make our processes better and faster, as technology changes and LLMs become more frequently used, we need to make sure our databases can handle future workload.
- Strong Python for building and maintaining data pipelines, API integrations, and automation scripts. - Advanced SQL, with hands-on experience in RDBMS and data lakes. - Experience monitoring database systems for capacity and performance.
- Database performance tuning: indexing strategy, query optimization, data cleanup, and general good-hygiene practices. - Experience with Tableau as a data source owner, not just a report consumer. - Working understanding of how CRMs operate and how sales teams use them (Salesforce experience a plus), enough to model and import sales datasets sensibly.

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About Fortinet

People
About 4,052 in 2024.Benefit plan filings (Form 5500)
Company
Listed as FTNT.
H-1B visas
99 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,312, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Location: London or Manchester, UK

Objective:

Sales Operations at Fortinet manages systems and databases used by all the employees in Sales plus other departments. Over the past 10 years the data architecture and decisions from Sales Ops meant that our BI tools became first class, we are looking for someone to help us with the continuous search for better technologies. A core part of this role is helping build out our AI capabilities – the data infrastructure you administer will increasingly serve as the foundation of LLM powered tools. 

Responsibilities:

  • Maintain API Jobs: our data comes from different places at Fortinet, most of these processes are written in Python, the successful applicant will be expected to maintain, improve and add new processes. 
  • Database work: we currently run most of our data under Microsoft SQL, we also leverage Mongo and Postgres. You will be expected to maintain ETL scripts and other SQL Queries that make our BI Tool (Tableau) operate. We also expect you to manage indexing, cleanups and good performance practices. 
  • Exploring new solutions: you will be expected to proactively review and help assess new tools that can make our processes better and faster, as technology changes and LLMs become more frequently used, we need to make sure our databases can handle future workload.
  • Enable AI capabilities: you will play a key role in building and maintaining the data foundation that powers AI and LLM-based tools across the organization.
  • CRM Work: even though we don’t work inside the CRM, you will be expected to understand how a CRM works and how sales uses a CRM, this will be helpful when importing datasets and understanding how to build efficient queries for sales.
  • Investigative approach: the applicant must have the instinct of being curious, our team is continuously learning new technologies and building new applications for sales, we expect you to keep up and bring new ideas.

Required Skills:

  • Strong Python for building and maintaining data pipelines, API integrations, and automation scripts.
  • Advanced SQL, with hands-on experience in RDBMS and data lakes.
  • Experience monitoring database systems for capacity and performance.
  • Proven experience designing and maintaining ETL processes feeding BI/reporting tools.
  • Database performance tuning: indexing strategy, query optimization, data cleanup, and general good-hygiene practices.
  • Experience with Tableau as a data source owner, not just a report consumer.
  • Working understanding of how CRMs operate and how sales teams use them (Salesforce experience a plus), enough to model and import sales datasets sensibly.
  • Comfort integrating and consuming REST APIs from varied internal and third-party sources.

Location: 

  • Candidate should be in the London Metro area.  However, other locations in Europe will be considered if the ideal candidate is identified. 

 

#LI-Hybrid

Source details

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Pay

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Location & working pattern

London, London, United Kingdom

- Candidate should be in the London Metro area. However, other locations in Europe will be considered if the ideal candidate is identified. #LI-Hybrid
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