{"id":1030141,"url":"https://alion.io/job/barclays-data-engineer-7","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":137,"ghost_share":0.007,"stale_share":0.336,"repost_share":0.088,"time_to_fill_p50_days":14,"computed_at":"2026-10-01T05:45:00Z"}},"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":["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":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Linux","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-09-30T19:37:19Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Job Description\nPurpose of the role\nTo apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them.\nAccountabilities\nAvailability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning.\nResolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring.\nDevelopment of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience.\nMonitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning.\nCollaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations.\nStay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.\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 infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.\nWe are seeking a highly skilled Data Engineer to lead the design, development, and optimization of enterprise-scale data platforms and data products. The role requires strong expertise in Databricks, Snowflake, Spark, cloud-based data engineering, and modern data architectures. The candidate will be responsible for building scalable data pipelines, enabling self-service analytics, driving platform modernization initiatives, and leading a team of data engineers to deliver business-critical data products.\nThe ideal candidate will have experience working in a large-scale enterprise environment, preferably within Banking, Financial Services, or highly regulated industries.\nTo be successful as a Data Engineer , you should have experience with:\nStrong experience in Databricks Lakehouse Platform.\n\nExpert-level knowledge of Apache Spark (PySpark and Spark SQL).\n\nStrong programming skills in Python.\n\nExperience with Delta Lake, Unity Catalog, and Databricks Workflows.\n\nStrong SQL tuning and performance optimization skills.\n\nStrong hands-on experience in Python and PySpark-based development\n\nSolid understanding of Linux environments with scripting expertise\n\nExperience working with scheduling/orchestration tools such as TWS and Airflow\n\nProficient in Git and GitLab for version control and CI/CD workflows\n\nGood exposure to AWS ecosystem, including Glue, Lambda, S3, Lake Formation, and Athena\n\nData Engineering Expertise\nETL/ELT framework development.\n\nCDC (Change Data Capture) implementations.\n\nData Quality frameworks.\n\nBatch and Real-Time processing.\n\nData Governance and Metadata Management.\n\nData Lineage and Data Catalog solutions.\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":6236,"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":"2026-09-18T13:34:38Z"}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.476,"p_room":0.45,"age_days":23,"expected_fill_days":14,"reasons":["conf:10","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/barclays-data-engineer-7","json_url":"https://alion.io/job/barclays-data-engineer-7.json","meta":{"generated_at":"2026-10-01T15:20:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}