As a Barclays Engineering Lead, you will get an exciting opportunity to create technology solutions to meet business requirements, in line with our group architecture design standards and principles. You will be working directly with the engineering director to design and deliver a group-wide strategic implementation of a scalable API strategy with best of breed technologies. Lastly, you will be assisting in the development of systems strategy and plan.
Essential Skills:
Strong understanding of data modelling techniques, including star schemas, normalised/denormalised models and data warehousing solutions like Mongo DB, Couchbase, snowflake, or redshift.
Desirable Skills:
Big Data Technologies with proficiencies in tools such as Apache Spark, Kafka, and cloud based data lake architecture (AWS, S3, Databricks/ SageMaker Feature Store)
Knowledge of Infrastructure as code tools (e.g Terraform, Cloudformation) to automate data infrastructure deployments to ensure repeatability and security
Skilled in workflow orchestration with tools like Apache Airflow or AWS step functions to manage data processes, automate tasks and ensure reliability
Glasgow
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.