Staff Data Engineer overseeing complex data systems for CITY Furniture. Responsible for architecting and optimizing data ecosystems in a hybrid work environment.
About the role
- Data Architect facilitating data-driven customer experience and insight-driven decision-making at Lloyds Banking Group. Collaborating within an Agile team to deliver complex technical solutions.
Responsibilities
- Working as part of an Agile team of architects and engineers, you'll cultivate collaboration through your extensive expertise and influence.
- Using data technology expertise, you'll be able to identity opportunities to unlock its value to the business.
- Deliver the best technical solutions for complex or significant business needs, where no precedent may exist.
- Ensure compliance with the Bank’s IT architecture design and all regulatory, mandatory, and statutory requirements, protecting the Bank at all times.
- Run and chair technical design meetings to achieve purposeful outcomes, active involvement in architecture and design governance.
- Contribute to the financial investment process to obtain funding for key solution opportunities.
- Participate in risk management, using it to influence change planning and delivery.
Requirements
- Excellent knowledge of the data technology of complex enterprise systems, modern cloud-hosted data solutions, integration patterns, DevOps, and data and event stream technologies and broad experience with in-house and vendor-written applications.
- Ability to support negotiations to gain agreement from senior stakeholders, seeing the big picture and translating business priorities into technical solutions.
- Experience working on multiple products simultaneously and understanding the relationships between them.
- Understanding of risk management concepts and how to factor this into work prioritization models.
- Strong understanding of and experience with enterprise architecture principles and data strategy.
- Experience with risk, infrastructure, resilience, and security architecture practices and concerns.
- Able to communicate effectively with technical and non-technical audiences, from end-users to senior stakeholders.
Benefits
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- 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
No Education Requirement
Tech skills
Location requirements
Data Engineer strengthening data platform team at Samba TV to improve data analytics and reporting capabilities. Building on AWS, Databricks, BigQuery, and Snowflake technology.
Data Engineer focusing on secure ETL/ELT data pipelines and compliance in healthcare. Designing scalable ingestion frameworks and ensuring alignment with federal standards.
Data Migration Engineer at Capgemini delivering migration solutions for Guidewire Claim Center. Collaborating on cloud data migrations and validating processes in a sustainable tech environment.
Data Engineer responsible for collecting and analyzing data at Cruise Planners. Collaborate with teams for actionable insights using MySQL and Power BI.
Data Engineer for Leader Entertainment developing data solutions on Google Cloud Platform. Collaborating on data models, pipelines, and analytics in a hybrid role.
Senior Data Engineer designing and scaling data foundations for AI adoption across Ad Tech. Collaborating with cross - functional teams to deliver robust pipelines for high - profile AI applications.
Specialist in Data Engineering leading pipeline optimization at Inmetrics. Collaborating in innovative data - driven projects within a hybrid work environment.
Data Architect responsible for designing and implementing data architecture at Stefanini. Collaborate with technical teams and stakeholders in a hybrid work environment.
Senior Data Engineer at Reos responsible for scalable ETL pipelines using Microsoft Fabric. Focused on data integration from various sources and data modeling processes.