Informa is a leading international events, intelligence, and scholarly research group.
Through hundreds of powerful brands, we work with businesses and professionals in specialist markets, providing the connections, intelligence and opportunities that help customers grow, do business, make breakthroughs, and take better informed decisions.
Informa Connect , Informa Markets , Informa Tech , Taylor & Francis and Global Support .
Global Support is Informa's fifth division, with major service hubs in the United Kingdom, the United States, Hong Kong, and Singapore as well as several smaller locations.
Global Support colleagues provide shared, efficient business services and function-specific expertise to each of Informa's operating divisions, enabling our commercial teams to focus on their markets and customers.
Technology Solutions & Services is a key function within Global Support, with responsibility for the management and evolution of the key enterprise technology disciplines that underpin day to day business operations including Strategy & Technology Change, Enterprise Architecture, Enterprise Technology, Customer Technology, Technology Operations, and Information Security.
We are now building a new Informa with the Growth Acceleration Plan II (GAP II) where customer centricity, Digital and Data is the beating heart.
As we embark on an ambitious journey with our Growth Acceleration Plan II (GAP II), focusing on customer centricity and leveraging the power of Digital and Data, Informa is excited to announce the formation of our new AI initative.
This will not just be a hub of innovation; We are looking for a AI Data Engineer to help to outline, deliver and extend Data & AI use cases across Group
The AI Data Engineer position will be responsible to shape, create and integrate AI solutions with particular focus on Natural Language Processing, Large Language Models and Multi-Modal Generative AI.
The candidate will be working alongside other members of the team, Divisional Colleagues and Data Engineering teams to further drive AI development and innovation.
The AI Engineer will work closely with data scientists, delivery leads, product managers, content matter experts, and technology team s to develop, automate and scale-up advanced AI solutions to address key customer problems whilst also helping to develop methodologies and reusable solutions.
As the AI Data Engineer, you will be responsible for providing technical expertise and leadership across all aspects of data engineering process, from data acquisition, tagging, embedding, protection and storage.
Integrate and
Manage Data Sources:
Work with a variety of data types including PDFs, Word documents, Excel files, HTML, audio, video, and text, as well as various databases, to integrate and manage data across the organization.
Data Preparation for AI Modeling: Prepare and preprocess data to ensure it is ready for use by AI Lead Engineers in machine learning models and AI solutions.
Develop and
Maintain Data Pipelines:
Utilize tools like Airflow and Python to develop and maintain efficient, scalable data pipelines that support the ingestion, transformation, and delivery of large datasets.
Manage Data Lakes and Warehouses: Oversee the organization's data lakes and warehouses, ensuring data is stored efficiently and is easily accessible for AI applications.
Implement Data Quality and Governance: Ensure high standards of data quality and implement governance practices to maintain the integrity and security of data.
Collaborate with AI Teams:
Work closely with AI Lead Engineers and other stakeholders to understand data needs and contribute to the development of AI-driven solutions.
Keep up-to-date with the latest developments in data engineering, machine learning, and AI technologies to continually enhance data capabilities.
Around a couple of years ofdata engineering with a focus on AI and machine learning projects.
Strong skills in Python, Airflow, data lakes, and data pipeline tools. Experience with data formats like JSON, Parquet, Avro, etc.
Knowledge of
Data Processing Technologies:
Familiarity with big data technologies (e.g., Hadoop, Spark, AWS EMR) and database management systems (e.g.
, Experience with Data Integration Tools:
Proficiency in ETL/ELT tools and practices.
Understanding of the data requirements for machine learning and AI, including experience with embeddings and vector databases.
Problem-Solving Skills:
Ability to tackle complex data integration challenges and provide efficient solutions.
Communication Skills:
Strong interpersonal skills with the ability to explain technical data concepts to non-technical stakeholders.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Experience with cloud platforms like AWS or Azure.
Knowledge of data security and privacy practices.
We are also flexible with different working patterns and prioritize promotions internally. Learning and development plan to assist with your career development
~25 days annual leave, 4 days for volunteering and a day off for your birthday
~ Work with high quality specialist products
~ Bright and friendly staff who are all "expert's experts" and additional training and development for helping you achieve your career aspiration
~ Regular social events and networking opportunities
We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.
We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics under federal, state or local law.
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