Data Software Engineer

Description:

We have an exciting opportunity within the Financial Crime Data Engineering team for a Data Engineer, working with Big Data and AWS Cloud technologies, this is an excellent opportunity to join the team during a period of transformation.

This role is critical for our Data transformation to lake and Cloud Data Migration journey and will be an important role as we strategically land our Data and Digital programmes of work.

You’ll take pride in solving data engineering challenges, such as ingestion of data to our Cloud and on-prem lakes, Automation of Serverless ETL Data Pipeline.

The difference you’ll make.

• Working with Data Lakes to achieve our Data transformation, which is made of data storage, Data analytics, streaming, Data classification, Data Quality and controls, Data Governance, Data integration, Data anonymisation etc.

• Ensuring the end-to-end Data Transformation from On prem to the Santander AWS and Hadoop lakes (Pipeline configuration, with a big focus on Data transformation, Streaming, integration, data exploitation, data modelling and architecture to data governance).

• Delivering high quality product and services to exceed customers expectation.

• Ensuring there is a data driven approach is at the heart of our transformation through the application of Cloud-Native and Open-source technologies

• Adopting Agile engineering processes (Scrum/Kanban, DevOps, CI/CD, BDD/TDD test automation).

What you’ll bring.

• Considerable experience in Software Engineering, Data Engineering, or related field with a track record of ingesting, transforming, processing, and extracting value from large volume of datasets.

• Considerable experience in contributing to develop and code end-2-end software solutions and analysis solutions.

• Demonstrable experience as a Full Stack SW Developer (AWS Cloud Services and Scala/Java/Spark).