Description:
- Driving the vision for Data Warehousing across the products vertical and defining and executing on a plan to achieve that vision
- Designing, building and launching efficient and reliable data pipelines to move and transform data
- Building a platform to process data-sets in near real time
- Defining the processes needed to achieve operational excellence in all areas, including project management and system reliability
- Defining the processes needed to achieve operational excellence in all areas, including project management and system reliability
- Building a high quality Data Warehousing team and organising the team to scale
- Establishing the technical direction for the Data Engineering team, driving the necessary changes and making appropriate technology choices by working collaboratively with IT Architects, BI Developers and Development Team
- Building cross-functional relationships with Product Managers, BI Developers, Software Engineers and IT Architects to understand data needs whilst delivering on those needs
- Collaborating with the Technology team to define technical requirements and design clarity based on the business requirements
- Driving the design, building and launching of new data models and data pipelines in production
- Managing the development of data resources and support new product launches
- Driving data quality across the product vertical and related business areas
- Ensuring necessary data quality assurance processes are implemented and followed
- Defining and managing SLAs for all data sets and processes running in production
- A University Degree in Computer Science or any other related technical field
- A minimum of 7 years' experience in data engineering and data management with an excellent understanding of data flows, data architecture, ETL and processing of structured and unstructured data
- A minimum of 7 years' experience designing data warehouse/data lake and ETL architectures
- At least 3 years' experience leading modern development approaches (containerisation, cloud, continuous delivery, micro-services)
- Experience with SQL or NOSQL systems such as PostgreSQL, MongoDB or Redshift
- Experience managing or leading small to medium sized data engineering teams in a dynamic environment
- Knowledge of Information Security, Data Privacy laws, and GDPR regulation
- Experience with the Talend eco-system, toolsets and deployment architecture coupled with banking data experience and knowledge of financial products will be considered an asset
- Excellent written and verbal communication skills in English