Data Engineer

Accelerant; Poland; On-site; PLN 168,918 - 253,378; Full time

Job summary

A leading risk exchange firm in Poland is looking for a Data Engineer to enhance its data platform, essential for its SaaS operations and analytics. The ideal candidate should have at least 2 years of experience, proficient in AWS and Python, and skilled in developing data pipelines and APIs. This role demands a commitment to learning and innovative thinking, contributing significantly to the company's success in the digital landscape.

Qualifications

• 2 or more years of experience as a Data Engineer.
• Experience in developing in AWS.
• Familiarity with DataOps methodologies, tools, and processes.

Responsibilities

• Analyse and ingest new datasets from varied sources.
• Design, build, and support cloud infrastructure.
• Transform and cleanse complex datasets.

Skills

AWS experience

Python

SQL

DataOps methodologies

dbt

AI and Machine Learning

Handling structured and unstructured datasets

Real-time and batch mode data ingestion

Data Warehouse development

General P&C Insurance business knowledge

Tools

Snowflake

Job description

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 www.accelerant.ai .

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.
• 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