Data Engineering Research Manager

Accenture; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Global collaboration

Mentorship program

Research budgets

Job summary

Accenture Research in Hyderabad is seeking a senior data engineering professional to support global projects. You will design and maintain cloud-based data solutions, ensuring data governance and quality across multi-source datasets.

The role invites collaboration with multinational teams, mentoring, and management of dedicated research budgets and external partnerships.

Qualifications

• Design and develop data pipelines and orchestration in cloud
• Architect data governance, warehousing, quality, and MDM
• Proficient in Python and SQL for large datasets and data processing
• Experience with GCP data services (BigQuery, Dataflow, Cloud Composer)
• Linux proficiency; NLP/GenAI experience a plus
• Strong communication in global, multi-disciplinary teams

Responsibilities

• Support global and local research projects aligning with Accenture Research priorities
• Design, develop and maintain cloud data solutions
• Promote best practices for big data processing and management

Skills

Data pipelines

Data architecture

Data governance

Data warehousing

Data quality

Master data mgmt

Google Cloud Platform

BigQuery

Dataflow

Cloud Composer

Python

SQL

Linux

NLP/GenAI

Integration solutions

Education

Bachelor's degree in CS/Math/Data Science

Master’s degree

Tools

Cloud Composer

BigQuery

Dataflow

AlloyDB

Airflow

Job description

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. The opportunity includes managing complex data-driven research projects with multinational and multidisciplinary teams and offers coaching, supervision, and mentoring while managing dedicated research budgets and relationships with external partners.

Key Responsibilities

• Support global and local research projects on themes aligned to Accenture Research global priorities and efforts.
• Design, develop and maintain data solutions in a cloud environment.
• Promote and implement best practices and modern approaches for big data processing and management.

What we offer

• Access to 100+ business data sources through our research data lake.
• Continuous expansion of our data universe from commercial and open sources and partnership with premium data providers to improve the quality of inputs into our models.
• Unique training opportunities for growth, including internal trainings, on-the-job learning, and personal exploration time to work on novel methodologies without the constraints of projects and with leading universities.

Experience and skills

Hard skills

• Practice in designing and developing data pipelines and process orchestration.
• Experience in designing data architecture and governance, data warehousing, data quality management, and master data management.
• Knowledge of Google Cloud Platform with a focus on data services such as Cloud Composer, BigQuery, Dataflow, and AlloyDB. Experience with alternative cloud platforms in a similar scope is also acceptable.
• Excellent knowledge of Python for processing structured and unstructured data.
• Proficiency in SQL for processing large datasets.
• Fluency in working on Linux operating systems.
• 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 effectively.
• Problem-solver approach and entrepreneurial attitude.
• Strong professional qualities: client focus, decisiveness, integrity, and resilience to stress against stretch goals and deadlines.
• Excellent written and oral communication and interpersonal skills.
• Enthusiasm to work effectively in a global, multicultural team.

Additional Information

Reports to: Research Principal Director in Data Science Research. Education: BA degree in Computer Science, Mathematics, Data Science, or similar. A Master’s degree is a plus. Work Experience: 12+ years of experience in data engineering or a related area. Location: Hyderabad, India. Preferred start date: At the earliest.