Data Engineer

We have an exciting opportunity for an up-and-coming Data Engineer to join our team. The Data Engineer will play a critical role in designing, implementing, and managing the data infrastructure that supports our business operations. This role specifically requires expertise in Power Query to facilitate data manipulation and transformation processes.

The Data Engineer will work in an hybrid environment with both days in the office (Gloucester, Liverpool or London) and remote work. The role requires strong collaboration with cross-functional teams and may involve occasional travel for training or meetings.

Key Responsibilities

• Data Integration: Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.
• Data Modelling: Design and implement data models to support analytical and business intelligence needs.
• Database Management: Administer and optimize databases to ensure high performance, security, and availability.
• Data Quality: Implement data quality checks and validation processes to ensure accuracy and consistency of data.
• Power Query Utilization: Use Power Query to perform data manipulation, transformation, and cleansing tasks efficiently.
• Collaboration: Work closely with data analysts, and other stakeholders to understand data requirements and deliver solutions.
• Documentation: Create and maintain comprehensive documentation of data workflows, processes, and systems.

Required Skills and Qualifications

• Experience: Minimum of 2 years of experience in a data engineering or a similar role, preferably within the insurance industry.
• Technical Proficiency: Strong knowledge of SQL, database design, and data warehousing concepts.
• Power Query: Expertise in using Power Query for data transformation and analysis tasks.
• Cloud Services: Experience with cloud data platforms (e.g., Azure ad Dataverse) is highly desirable.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication: Excellent written and verbal communication skills.
• Teamwork: Ability to work collaboratively in a team environment.
• Programming Skills: Any knowledge of Python, R or .Net is not required but a bonus
• Insurance Domain Knowledge: Familiarity with insurance industry data and business processes.
• Data Visualization: Experience with data visualization tools such as Power BI or Tableau.

Preferred Qualifications.

• Certifications: Relevant certifications in data engineering or data management.

Key Competencies

• Attention to Detail: Meticulous attention to detail to ensure data accuracy and quality.
• Adaptability: Ability to adapt to changing technologies and business requirements.
• Initiative: Proactive approach to identifying and addressing data issues.
• Customer Focus: Commitment to understanding and meeting the needs of internal and external stakeholders.
• Leadership: Ability to mentor and guide junior data engineers and analysts.

By submitting your personal data to Pro Insurance and by using our website, you give your consent that all personal data you submit as part of your application may be processed by us in the manner and for the purposes described in our HR applicant privacy policy. For further information, please refer to our Data Protection Policy, a copy of which can be requested from HR@pro-global.com.