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Day 88
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London, London, United Kingdom
Live, first seen by us 88 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s 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
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.
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.
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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.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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:
Required Skills:
Location:
#LI-Hybrid
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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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