{"id":1905475,"url":"https://alion.io/job/barclays-senior-data-engineer-5","title":"Senior 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":96,"open_postings":219,"ghost_share":0.014,"stale_share":0.26,"repost_share":0.128,"time_to_fill_p50_days":14,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T12:48:28Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-11T19:39:12Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"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.\nAnalyst Expectations\nTo perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.\nRequires in-depth technical knowledge and experience in their assigned area of expertise\nThorough understanding of the underlying principles and concepts within the area of expertise\nThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.\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 develop technical expertise in work area, acting as an advisor where appropriate.\nWill have an impact on the work of related teams within the area.\nPartner with other functions and business areas.\nTakes responsibility for end results of a team’s operational processing and activities.\nEscalate breaches of policies / procedure appropriately.\nTake responsibility for embedding new policies/ procedures adopted due to risk mitigation.\nAdvise and influence decision making within own area of expertise.\nTake 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.\nMaintain 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.\nDemonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nMake evaluative judgements based on the analysis of factual information, paying attention to detail.\nResolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.\nGuide and persuade team members and communicate complex / sensitive information.\nAct as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.\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 Senior Data Engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.\nTo be successful as a Senior Data Engineer, you should have experience with:\nAWS hands on with S3, EC2, Lambda, RDS, Glue, Athena, data pipelines, step function and knowledge of Analytical services.\n\nExperience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala).\n\nExpertise in SQL, advanced SQL skills.\n\nExpertise in shell scripting and programming (Scala/Python).\n\nKnowledge of ETL technologies preferably Ab Initio.\n\nExperience of Technical Design for ETL/Hadoop/AWS components.\n\nKnowledge of Data Warehousing.\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.\nThis role is based in Pune.","description_format":"text","description_chars":4936,"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":["Professional development"],"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":"2026-10-05T12:48:28Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.849,"p_room":1,"age_days":4,"expected_fill_days":14,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/barclays-senior-data-engineer-5","json_url":"https://alion.io/job/barclays-senior-data-engineer-5.json","meta":{"generated_at":"2026-10-11T23:03:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13457,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":12541},"rest":"https://alion.io/mcp/rest/get_company?id=12541"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbarclays-senior-data-engineer-5"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbarclays-senior-data-engineer-5"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbarclays-senior-data-engineer-5"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/barclays-senior-data-engineer-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbarclays-senior-data-engineer-5"}]}