Data Engineering Research Manager

This role is in Accenture Research Global Data Science Team, and it will be fully dedicated to support research projects in terms of data provisioning and development of research solutions. We are looking for curious candidates that will combine data engineering skills, creativity, and analytical capabilities to accelerate Accenture’s data-driven business research and insight discovery. We offer a career aligned to our priority of creating innovation and impact, managing complex data driven research projects, with multinational and multidisciplinary teams. We provide opportunities for coaching, supervision and mentoring, as well as responsibilities to manage dedicated research budgets and relationships with external partners. Key Responsibilities include: Support global and local research projects on themes aligned to our Accenture Research global priorities and efforts. Design, develop and maintain data solutions in cloud environment. Promote and implement best practices and modern approaches for big data processing and management. What we offer: We have access to 100+ business data sources through our research data lake. We are constantly expanding our universe of data from commercial and open sources and partnering with premium data providers to improve quality of inputs into our models. We provide several unique training opportunities to continue your growth, including both internal trainings, on the job, personal exploration time to work on novel methodologies without the constraints of a projects and with leading universities. Experience and skills: “Hard” skills: Practice in designing and development of data pipelines and processes orchestration. Experience in designing data architecture and governance, data warehousing, data quality management, master data management. Knowledge of Google Cloud Platform with special focus on data services such as Cloud Composer, Big Query and Dataflow, AllloyDB. The experience of working with alternative cloud platforms in similar scope is also acceptable. Excellent knowledge of Python language, particularly in processing of structured and unstructured data Proficiency in SQL for processing large datasets Fluency in working on Linux operational system. Experience in developing Machine Learning / AI tools is a plus, especially NLP and Gen AI solutions. Practice in development of application integration solutions is an advantage. “Soft” skills: Strong analytical skills and a proven ability to deliver high quality data products. Understanding of business requirements and how to convert them into data processing solutions. Ability to handle multiple projects simultaneously and prioritize appropriately and effectively. Problem solver approach to work and entrepreneurial attitude Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines Excellent communication (written and oral) and interpersonal skills Enthusiasm to work effectively in a global, multi-cultural team. Additional Information Reports to: Research Principal Director in Data Science research Education: BA degree in Computer Science, Mathematics, Data Science, or similar. Master is a plus. Work Experience: 12+ years of work experience in data engineering or relevant area. Location: Hyderabad, India Preferred start date: At the earliest. TBD 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 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, military veteran status, sexual orientation, gender identity or expression, genetic information, 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.