Senior Data Engineer

• Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go and SQL)., * Working experience with operational data stores, data warehouse, big data technologies and data lakes.
• Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle, experience with relational and dimensional data structures.
• Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop)
• Strong experience working with Kafka technologies

Containerisation:

• Good knowledge of containers (Docker, Kubernetes etc)

Cloud:

• Experience with cloud platforms such as GCP, Azure or AWS.
• Good understating of cloud storage, networking and resource provisioning

It would be great if you also had…

• Certification in GCP "Professional Data Engineer"
• Certification in Apache Kafka (CCDAK)
• Proficiency across the data lifecycle, Disability Confident About Disability Confident A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to .

We also offer a wide-ranging benefits package, which includes…

• A generous pension contribution of up to 15%
• An annual performance-related bonus
• Share schemes including free shares.
• Benefits you can adapt to your lifestyle, such as discounted shopping.
• 30 days' holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies

Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too… What you'll be doing… * Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise insights to power our customers journeys. * Using industry leading toolsets, as well as evaluating exciting new technologies to design and build scalable real time data applications. * Spanning the full data lifecycle and experience using mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you'll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. * Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery etc for data pipelines. * Mentoring other engineers to deliver high quality and data led solutions for our Bank's customers