Data Engineer

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 #LI-DNI

The Data Engineer will be central to constructing and optimizing the robust data platform that drives the SaaS platform, internal analytics, and operational systems. Key tasks include designing and building modern data pipelines, supporting AI/ML infrastructure, and transforming complex datasets.

Candidates must have two or more years of experience as a Data Engineer, with required technical skills including development experience in AWS, Snowflake, SQL, and Python. Familiarity with DataOps methodologies is also necessary.

Identified from the job description. Confirm important requirements above.

• AWS
• Snowflake
• SQL
• Python
• DataOps
• dbt
• Real-time Data Ingestion
• Batch Mode Data Ingestion
• Data Warehouse Development

• Data & Analytics
• Software
• Engineering
• Technology
• Science & Research

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week