Data Engineer

Posted:
4/9/2026, 9:07:41 PM

Location(s):
Prague, Czechia ⋅ Prague, Prague, Czechia

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

Client & Project: We are seeking a new talent to join the Data & AI team where you will have the opportunity to collaborate in the project 9940056458 - TIA Large Development. The client is ASSICURAZIONI GENERALI S.P.A., a company that specializes in insurance and financial services, providing a wide range of products and solutions to meet the needs of individuals and businesses. Responsibilities: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You are expected to perform independently and become a subject matter expert. Active participation and contribution in team discussions are required, along with providing solutions to work-related problems. Advanced proficiency in Data Engineering is required. Advanced proficiency in Data Processing is recommended. Advanced proficiency in Data Pipelines is suggested. Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. Monitor and optimize data pipeline performance to ensure efficient data flow. Implement best practices for data governance and security throughout the data lifecycle. Stay updated with industry trends and emerging technologies to enhance data engineering processes. Document data processes and workflows to facilitate knowledge sharing within the team.

You are expected to perform independently and become a subject matter expert. Active participation and contribution in team discussions are required, along with providing solutions to work-related problems. Advanced proficiency in Data Engineering is required. Advanced proficiency in Data Processing is recommended. Advanced proficiency in Data Pipelines is suggested.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing