Data Engineer Consultant (Health)

Accenture is a leading global professional services company, providing a broad range of services at scale in strategy and consulting, interactive, technology and operations, with digital capabilities across all off these services. We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 513,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Working closely with clients our Strategy & Consulting professionals help transform the world’s leading organizations, working across the C-suite to capitalize on disruption, enable competitiveness, and drive growth and profitability via continuous innovation.

Applied Intelligence helps our clients grow their business in entirely new ways. Artificial Intelligence and Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships.

The Barcelona Innovation Centre has been at the forefront in helping clients from around the globe and across industries under the umbrella of intelligent operations for the last 15 years. We develop cutting-edge assets and solutions to reduce costs and improve supply chain processes, such as optimization of stock levels, demand planning and forecasting, automated warranty solutions, and predictive asset maintenance.

Our team is composed of over 90 data scientists and Data Engineers with specialized background in Supply Chain & Operations, 20% of which are PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics. All that knowledge, combined with Accenture’s business experience, fosters an environment that allows us to quickly react to changing business conditions and provide tailored solution for our client’s needs.

Come and work at the heart of change

We are looking for an experienced Data Engineer. A talented, fun, collaborative person willing to bring added knowledge to our Healthcare Research and Innovation Analytics Group. If you thrive working with top clients in the evolution of their data & AI journey… then, we’d like to meet you!

Your work:

H&LS AAI EU – working for our top clients in the healthcare practice in the evolution of their core systems and the implementation of new digital architectures. Our clients are belonging to the Health and Life Science industries and our services/projects can be transformational for all the company or focused on a particular area (R&D, Precision Health, Marketing, Patient services, etc.)

Your role:

Data engineers develop analytics-based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.

Key Responsibilities

• Solve complex problems and provide sustainable solutions

• Help to build and operate internal analytical platform

• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

• Work in an agile development environment

• Participate in an on-call rotation along with the rest of the team

• Use a wide variety of technologies, learn new things

• Participate in diverse projects and collaborate with engineering, product, analytics teams

Key Skills

• Driving data architecture and integration design and development discussions with engineering and other teams

• Programming and automation of Data processing systems in Cloud/ environment

• Ability to quickly master new technologies

• Software development or DevOps/DataOps experience

• Ability to work effectively in a dynamic, occasionally interrupt-driven environment that includes geographically spread teams and customers

• Experience in developing and operating high-volume, high-availability environments

• Previous experience with Linux, Docker and Kubernetes

• Previous experience with AWS or GCP

• Good command of Python or Go

• BA/BS degree in Engineering, CS, or equivalent

Preferred Qualifications

• Ideally, some experience / background in health or life science digital transformation

• Data Engineering and Data Architecting in Clinical Environment

• Cloud Technology (Azure)

What’s in it for you:

Join the Health Data Analytics Group for a challenging and rewarding career where the variety of opportunities and projects allows you to develop your potential and grow professionally every day. The only place where you can learn from our unrivalled experience, working alongside over 100 data scientists and Data Engineers, 20% of which are PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics.

We offer a competitive salary, an extensive benefits package which includes extra vacations days per year, medical and life insurance, learning opportunities and much more!