{"id":1140230,"url":"https://alion.io/job/barclays-lead-data-engineer","title":"Lead Data Engineer","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":123,"ghost_share":0,"stale_share":0.374,"repost_share":0.049,"time_to_fill_p50_days":13,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Flink","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T10:42:11Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T04:41:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\nPurpose of the role\nTo 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.\nAccountabilities\nBuild and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.\nDesign and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.\nDevelopment of processing and analysis algorithms fit for the intended data complexity and volumes.\nCollaboration with data scientist to build and deploy machine learning models.\nVice President Expectations\nTo contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..\nIf managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..\nIf the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others..\nOR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..\nAdvise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.\nManage and mitigate risks through assessment, in support of the control and governance agenda.\nDemonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.\nDemonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.\nCollaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.\nCreate solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.\nAdopt and include the outcomes of extensive research in problem solving processes.\nSeek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.\nAll 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.\nJoin us as a Lead Data Engineer, to work on the design and development of real-time data streaming solutions within our engineering team. This role sits within a technology function focused on developing scalable, low-latency data platforms that support critical business processes.\nYou will combine technical direction with ongoing development work, contributing to architecture while remaining close to the codebase. You will contribute to the development of streaming solutions using technologies such as Kafka and Flink, supporting innovation and data-informed outcomes across Barclays. You will also help us shape engineering standards and ways of working, contributing to how we build reliable and scalable systems together.\nTo be successful as a Lead Data Engineer, you should have experience with:\nExperience working with real-time streaming applications using Kafka Streams, including KStream and KTable concepts.\nExperience working with Apache Flink solutions, including stateful processing, checkpointing, and fault-tolerant approaches.\nExperience working with high-throughput, low-latency data pipelines that process and transform large volumes of data.\nSome other highly valued skills may include:\nExperience working with financial messaging standards (e.g. ISO 20022, MT) and implementing parsing solutions using libraries such as Prowide Core.\nExperience integrating distributed systems using Kafka Connect and working with schemas through AVRO and Confluent Schema Registry.\nExperience applying Flink SQL or Table API to support stream processing use cases.\nYou may be assessed on the 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.\nThis role will be based in Glasgow.","description_format":"text","description_chars":5666,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Cards","Wealth Management","Lending","Payments"],"lifecycle":[{"event":"open","at":"2026-09-23T10:42:11Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":13,"reasons":["conf:8","win:early","comp:brand"],"computed_at":"2026-09-23T19:21:56Z"},"pay":null,"html_url":"https://alion.io/job/barclays-lead-data-engineer","json_url":"https://alion.io/job/barclays-lead-data-engineer.json","meta":{"generated_at":"2026-09-23T19:21:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}