{"id":3034182,"url":"https://alion.io/job/barclays-data-engineer-11","title":"Data Engineer","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":176,"ghost_share":0,"stale_share":0.33,"repost_share":0.102,"time_to_fill_p50_days":16,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":43000,"period":"year","method":"role_country_seniority_unknown","sample_n":166},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"IBM MQ","optional":false},{"name":"JUnit","optional":false},{"name":"Machine Learning","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Framework","optional":false},{"name":"COBOL","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-21T21:00:15Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T03:24:07Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nAssistant Vice President Expectations\nTo advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.\nLead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes\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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.\nConsult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.\nIdentify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.\nTake ownership for managing risk and strengthening controls in relation to the work done.\nPerform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nCollaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.\nEngage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.\nCommunicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.\nInfluence or convince stakeholders 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 Data Engineer at Barclays, where you will spearhead the evolution of our data platforms and real-time processing capabilities, driving innovation and operational excellence. You will harness cutting-edge cloud and streaming technologies to build and manage scalable, resilient, and secure data solutions, enabling seamless delivery of our digital and data-driven services.\nTo be successful as a Data Engineer you should have experience with:\nExperience in Databricks with creation of data products, pipelines, scheduling jobs, etc. in AWS.\n\nDevelop Kafka Streams, Spring Kafka, and Apache Flink applications for real-time event processing\n\nImplement parsers for various message formats: ISO 20022 XML, SWIFT MT, JSON, and flat files\n\nBuild data transformation logic to flatten hierarchical messages into target AVRO schemas\n\nImplement stateful transformations including aggregations, joins, and windowed operations\n\nIntegrate with source systems via IBM MQ and Kafka topics\n\nWrite clean, testable, and well-documented code following established standards\n\nCreate and maintain unit tests and integration tests for developed components\n\nParticipate in code reviews and incorporate feedback constructively\n\nTroubleshoot issues using ELK stack and application logs\n\nActively participate in Scrum ceremonies and collaborate with team members\n\nStrong proficiency and solid understanding of core concepts and modern features with cloud technologies such as Snowflake, AWS, Databricks.\n\nHands-on experience with Spring Boot and Spring Framework\n\nStrong unit testing skills using JUnit 5 and Mockito\n\nGood understanding of data structures and algorithms\n\nExperience with Git and collaborative development workflows\n\nSome other highly valued skills may include\nExperience with IBM MQ or JMS-based messaging\n\nKnowledge of payment processing domain and creation of Data products in a Data mesh space.\n\nFamiliarity with ELK stack for logging and troubleshooting\n\nExperience with SWIFT parsing libraries (Prowide Core)\n\nExperience with Flink stateful processing, checkpointing, and state backends\n\nYou 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.\nThe role is based out of Pune.","description_format":"text","description_chars":5825,"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":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-21T21:00:15Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring 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