Data Engineers required ASAP

Join us as a Data engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. To be successful as a Data engineer , you should have experience with:
Strong knowledge of ETL/Abinitio, Unix.
SQL, Python, and other programming languages.
Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (e.g, AWS).
Good to have exposure on Pyspark and AWS.

Ability to analyze complex data sets and develop algorithms for data processing and analysis.
Typically requires a bachelor's degree in computer science, information technology, or a related field, along with relevant certifications (e.g., IBM Certified Data Engineer, Google Certified Professional).

You may be assessed on 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.

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.

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.

Requires in-depth technical knowledge and experience in their assigned area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.