Description review
Data Engineer
Accelerant · Canada · back to the listing
HR standards
52/100
needs work
Title ↔ description
88/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
Startups
- Business Intelligence Engineer GoSats
- IPinfo.io | Data Engineer | REMOTE (Anywhere) | Full-time IPinfo.io
- Senior Data Engineer Camber
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What the listing never says
- 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .
Job Description
At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team.
As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems.
In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization.
Key Responsibilities
• Analyse and ingest new datasets from varied sources
• Design, build, and support cloud infrastructure
• Design, build, and support AI and ML processes and infrastructure
• Design and build modern, metadata driven data pipelines and data streams
• Design and build data service APIs
• Transform and cleanse complex datasets
• Analyse current business practices, processes and procedures
• Implement effective metrics and monitoring processes
• A commitment to learning and sharing knowledge
Required Skills/Experience
• 2 or more years’ experience working as a Data Engineer
• Experience of developing in AWS
• Snowflake
• SQL
• Python
• Experience with DataOps methodologies, tools, and processes.
Desirable Skills
• dbt
• Experience handling structured and unstructured datasets
• Experience in AI and Machine Learning
• Experienced in real-time and batch mode data ingestion
• Experience in Data Warehouse development
• General P&C Insurance business knowledge
Originally posted on Himalayas
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .
Job Description
At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team.
As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems.
In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization.
Key Responsibilities
• Analyse and ingest new datasets from varied sources
• Design, build, and support cloud infrastructure
• Design, build, and support AI and ML processes and infrastructure
• Design and build modern, metadata driven data pipelines and data streams
• Design and build data service APIs
• Transform and cleanse complex datasets
• Analyse current business practices, processes and procedures
• Implement effective metrics and monitoring processes
• A commitment to learning and sharing knowledge
Required Skills/Experience
• 2 or more years’ experience working as a Data Engineer
• Experience of developing in AWS
• Snowflake
• SQL
• Python
• Experience with DataOps methodologies, tools, and processes.
Desirable Skills
• dbt
• Experience handling structured and unstructured datasets
• Experience in AI and Machine Learning
• Experienced in real-time and batch mode data ingestion
• Experience in Data Warehouse development
• General P&C Insurance business knowledge
Originally posted on Himalayas