{"id":180352,"url":"https://alion.io/job/barclays-data-engineer-analyst","title":"Data Engineer - Analyst","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":250,"ghost_share":0.012,"stale_share":0.28,"repost_share":0.132,"time_to_fill_p50_days":13,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Mumbai, 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":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Presto","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Dagster","optional":true},{"name":"Prefect","optional":true}],"status":"live","first_seen_at":"2026-08-31T15:47:05Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-18T02:40:43Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":47},"description":"Job Description\nPurpose of the role\nTo produce and deliver Research with differentiated market insights and actionable ideas to Barclays Clients.\nAccountabilities\nAnalysis of market, sector, corporate and/or economic data to help develop investment theses for your coverage universe to produce best in class Research.\n\nResearch may range from individual company or sector notes, through to long dated thematic reports.\n\nPresentation of Research views to Barclays Clients; this can be through direct, face to face and virtual interactions, Research hosted events and written communications.\n\nEngagement with Markets, Client Strategy and other stakeholders, to raise awareness of your Research both to Clients and internally. Prioritise interaction with the most relevant and valuable Clients for your Research.\n\nProvision of insights and Research views to internal Clients to help them navigate financial markets and risks.\n\nCollaboration with the Supervisory Analyst, Compliance and other stakeholders to ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner.\n\nAnalyst Expectations\nTo perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.\n\nRequires in-depth technical knowledge and experience in their assigned area of expertise\n\nThorough understanding of the underlying principles and concepts within the area of expertise\n\nThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.\n\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.\n\nOR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.\n\nWill have an impact on the work of related teams within the area.\n\nPartner with other functions and business areas.\n\nTakes responsibility for end results of a team’s operational processing and activities.\n\nEscalate breaches of policies / procedure appropriately.\n\nTake responsibility for embedding new policies/ procedures adopted due to risk mitigation.\n\nAdvise and influence decision making within own area of expertise.\n\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.\n\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.\n\nDemonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\n\nMake evaluative judgements based on the analysis of factual information, paying attention to detail.\n\nResolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.\n\nGuide and persuade team members and communicate complex / sensitive information.\n\nAct as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.\n\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 Analyst\" at Barclays where you will be doing hands-on data engineering role focused on building production-grade data infrastructure and data products. The overall purpose of the role is to:\nBuild and maintain data infrastructure that sits on Snowflake and integrate with broader data stack\nBuild and maintain pipelines for data products consumed by clients and for research analysis that is consumed by data scientists\nManage dependencies between pipelines and write tests to ensure data quality at each steps and maintain\nImplement monitoring, logging, alerting for data infrastructure observability\nProductionize models and data analyses and ensure clean deployment to Prod environment.\nKey Accountabilities\nThe main duties of the job will be composed of the following:\nUnderstanding the Global Research business and products we offer to our clients\nDevelop complete understanding of data infrastructure\nBuild/maintain Snowflake data stack and integrate with broader data stack (AWS, S3, Athena , Iceberg, SQL databases,)\nDesign and maintain analytical data models optimised for Snowflake consumption by BI and data science usersl\nImplement CI/CD practices for data pipelines and Snowflake objects across dev/test/prod environments\nShould be comfortable with big-data infrastructure on AWS (via Athena, PySpark and Python) in terms of ETL\nPartnering with IT teams, vendors and business to define data onboarding requirements\nCommunicate directly with the stakeholders on a regular basis to discuss solutions proposed for continuous improvement\nOnboard new data sets and write transformations/tools to make them usable\nIntegrate with interactive tools and advanced dashboards for BI (Tableau, Power BI)\nCI/CD practices for data pipelines\nPerson Specification\nExcellent written and verbal communication skills\nStrong attention to detail\nAbility to work effectively in a team environment\nStrong interest in the subject matter\nShould strive towards continuous learning & up-skilling\nResourcefulness, and proactive attitude\nDemonstrated ability to work in a time sensitive environment\nExperience working with large-scale data\nExperience using git for source control in a team environment, including reviewing pull requests.\nEssential Skills/Basic Qualifications:\nStrong experience in Snowflake\nStrong experience in writing SQL\nStrong experience in working with Python\nStrong understanding of data pipelining and automation for data extraction and code change management\nExperience with CI/CD for data platforms and environment promotion\nExperience in data visualization and data analytics using Tableau/PowerBI (or similar BI tool) will be a value add\nKnowledge on working with Big Data sets on AWS using Presto/Spark/Athena\nGood communication skills (both verbal and written)\n Desirable skills/Preferred Qualifications:\nExperience with orchestration tools (Snowflake Tasks, Dagster, Prefect)\nExperience in data visualization and data analytics infra using Tableau (or similar BI tool) will be a value add\nPast experience with large scale text data or geolocation data\nPrior experience in ML/AI model deployment\nYou may be assessed on key critical skills relevant for success in role, such as designing and maintaining analytical data models, understanding of data pipelining & automation for data extraction and code change management.\nThis role is based out of Mumbai.","description_format":"text","description_chars":7255,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial Advisors","Investment Banking & M&A 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