Data Engineer II

Description

The role sits in the Insurance business of a risk assessment company that provides data and analytics tools to insurers to support decisions across the policy lifecycle.

The team works with technical staff and business stakeholders to build data solutions that improve data quality, operational efficiency and customer outcomes.

The role starts with data management work such as profiling, validation and quality control, and grows into broader data engineering ownership over time.

Responsibilities

• Take ownership of assigned data transfers and components, including collection, transfer and setting up contributors or customers, and keep them maintainable over time.
• Work with technical staff and stakeholders to clarify data and product needs and turn them into working data solutions.
• Build, test and maintain data engineering solutions that are efficient, repeatable and easy to maintain, following established coding practices.
• Assess technical options and recommend approaches that weigh delivery speed, data quality, testing and maintainability.
• Carry out data profiling, validation and quality management, and investigate and fix data issues.
• Diagnose data engineering faults, find root causes and put lasting fixes in place.
• Look for chances to automate work, including AI-assisted engineering, to raise productivity and speed up troubleshooting and delivery.
• Review code, contribute to technical specifications, manage databases and workflows, improve processes and adopt relevant new technologies.

Requirements

• Background in data management, data engineering or a similar technical data role.
• Solid grasp of data manipulation, profiling, validation and data quality methods.
• Experience designing and working with data models, data requirements and solutions that are easy to maintain.
• Hands-on experience with technologies such as SQL, Java/J2EE, JavaScript, C/C++,.NET, HTML/XML, HPCC, Windows or Unix.
• Knowledge of software engineering practice, including testing, code review, maintainability, and methodologies such as Agile or Waterfall.
• Strong analytical and problem-solving ability, with the skill to weigh options and recommend the right solution.
• Clear communicator with attention to detail and a willingness to learn and apply new technologies, including AI-assisted engineering and automation.

Conditions

Country-specific benefits are available, and the posting links to details for your location.

The company offers accommodations in the hiring process for candidates who need them, with contact details provided in the posting.

Be wary of recruiters asking for money or personal information, as the company never asks applicants for payment or banking details.

US job seekers should check the separate section for US applicants in the original posting.

Benefits

• Country-specific benefits are offered to support well-being and long-term career success.