Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
About the role
- Senior Data Engineer responsible for designing and developing data products and solutions at Lloyds Banking Group. Collaborating with various teams to improve regulatory data processes and mentoring other engineers.
Responsibilities
- Design, develop, maintain and improve data processes to support regulatory and prudential change with high quality solutions and providing oversight and leadership to help others do the same.
- Building data products, pipelines and API’s for current and future analytics and reporting solutions.
- Implement and exemplify engineering standards to act as a mentor to colleagues, using constructive feedback to create opportunities for learning.
- Work with the Product Owner and customers to understand, refine and prioritise items for the feature team backlog, using strong problem-solving skills and a combination of technical knowledge, experience and judgement to identify available options and clearly set-out the way forward.
Requirements
- Strong Data Engineering background and good knowledge of waterfall and agile development practices.
- Passion for software and data engineering, adopting the mindset of a curious engineer.
- A technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams.
- Experience with cloud technology for data solutions, particularly Google Cloud Platform.
- Experience DBT, SQL, Python, Java or SAS and other open source technologies used in analytics is essential.
- Ability to understand complex business requirements and create business ready solutions.
- Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non-technical people.
- Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes.
- Experience of Commercial Banking Application Landscape and associated data models and data flows.
- Experience of line management.
Benefits
- A generous pension contribution of up to 15%.
- An annual bonus award, subject to Group performance.
- Share schemes including free shares.
- Benefits you can adapt to your lifestyle, such as discounted shopping.
- 30 days’ holiday, with bank holidays on top.
- A range of wellbeing initiatives and generous parental leave policies.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.