Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Analyst Expectations Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team's operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. 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. Guide and persuade team members and communicate complex / sensitive information. 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. Join us as a Data Support Engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. Your role will enable you to support critical real time client and customer journeys across the Corporate Bank helping deliver value through a focus on ensuring Data availability and accuracy for our customers and resolving issues proactively to prevent customer impact. To be successful as a Data Support Engineer you should have: Technical expertise in Data Warehousing methodologies with Strong understanding of ETL tools preferably Ab Initio and Teradata Good understanding of Application support processes and ITIL framework/processes (Incident/Problem/Change Management) Understanding/awareness of Observability/Monitoring solutions (such as AppDynamics, Geneos ITRS, Thousand Eyes, Splunk, ELK or similar) Some other highly valued skills may include: Working knowledge of IT Infrastructure components (such as Linux or Windows Server OS, MS SQL or Oracle Databases, Networks, Load Balancers, Storage) Working Knowledge of API frameworks including SOAP and REST APIs Ability to construct SQL queries and interrogate databases hosted on MSSQL, Teradata and Oracle 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. The role is based out of our office in Glasgow.
