Join us to build next-gen Advanced Data and Analytics Platform. We are looking for a dedicated and experienced Data engineer with very good ETL/ELT and data Warehousing skills, to work in a collaborative and friendly team on exciting automation deliveries, on premise and in cloud.
As a Data Engineer, you’ll be responsible for the build and delivery of the Ops analytics platform across a number of hosting platforms building robust, scalable Data pipelines. You will be automating the deployment and maintenance of the Advanced analytics platform using latest and greatest technologies and CI/CD tools such as dbt, GitLab etc. You will also deliver self-service capabilities and automations to enable easy adoption of the Ops Advanced analytics platform.
To be successful as a Data Engineer, you should have experience with
- Proficiency in Python and SQL for data manipulation and building data pipelines.
- Ability to design and maintain robust ETL/ELT processes using SSIS, Ab Initio, Dbt etc.
- Strong experience in managing and optimizing data warehouses (e.g., Snowflake, Redshift, SQL Server etc).
Some Other Highly Valued Skills May Include
- Expertise in cloud platforms such as AWS, Azure, or GCP for modern data solutions
- Hands-on experience with big data frameworks like Apache Spark or Hadoop.
- Experience with tools for pipeline automation and monitoring (e.g., Airflow, Prometheus).
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
This role is based out of our office in Whippany, New Jersey.
Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.
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
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Assistant Vice President Expectations
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
- Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
- Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
- Influence or convince stakeholders to achieve outcomes.
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.