Senior Devops Engineer - Cloud and Advanced Analytics

Job Description

As a Barclays Senior DevOps Engineer for Cloud and Advanced Analytics, you will play an important part in building best-in-class modern data processing platforms, developing data engineering expertise, and sharing collaboratively across the organization.As part of the Chief Technology Office, you will participate in engineering working groups and create intellectual capital by building in-house modern data micro-services and advanced machine learning and data platform capabilities. Barclays is one of the worlds largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity - helping millions of individuals and businesses thrive, and creatingfinancial and digital solutions that the world now takes for granted. Working FlexiblyWere committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity forall our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers and clients needs. Whether you have family commitments or youre a carer, or whether you need studytime or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to businessneeds. We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Were flexible on how thisworks and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month, or a quarter. However, some colleagues maychoose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances.Please discuss the detail of the working pattern options for the role with the hiring manager. What will you be doing Designing and building in-house software, architecture and tooling for our realtime and big data platforms Building prototypes and performing demos of emerging data technologies and popular Github projects Providing assistance in build CI/CD, testing and operability patterns across our data systems Engineering with high priority data, analytics and ML projects in different areas of the business Working closely with architects and engineers of all levels in multiple teams across the bank, as well as security and infrastructure teams Analysing user requirements and converting them into technical designs and solutions Understanding the benefits of public cloud platforms and Infrastructure-as-Code tools such as Terraform, Chef, Ansible, Cloudformation Staying up to date with the latest data and analytics technology and providing solutions that work at large scale What were looking for: Data engineering capability in SQL and at least one general purpose programming language (e.g. Python, Golang, Java or Scala) Test driven development, continuous integration and continuous delivery, AWS and general Infrastructure-as-Code tools such as Terraform, Chef/Ansible Experience in MLOps, Data Science processing pipelines Understanding of core database and/or distributed systems theory, SQL and dataframes, and good theoretical and practical knowledge of Big Data concepts (e.g. Spark) Skills that will help you in the role: Knowledge of Redshift, Snowflake, Databricks; AWS core services (IAM, EC2, Lambda, networking, security) and AWS data (Athena, Redshift, Glue, Macie, S3, etc) Engineering and public cloud certifications; Github account with personal projects or open source project contributions Experience in at least one of the following fields: Machine Learning, Analytics/BI platforms, Metadata tooling, Stream processing, Data Integration Iterative deployment, scrum management, roadmap and release planning and management Where will you be working Our new state-of-the-art Campus, right in the heart of Glasgow is a hub of creative collaboration. A place where everyone can bring their true selves to work and reach their full potential. Home to 5,000 of our colleagues, our Tradeston campus will supportthe community in more ways than one - by creating thousands of new career opportunities and celebrating local artists. A short walk from Central Station on the south of the Clyde, it will be a key location for the Barclays business that will deepen our tieswith the city and its communities. LI-JG1 #data