{"id":3604519,"url":"https://alion.io/job/backbase-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":18103,"name":"Backbase","domain":"backbase.com","url":"https://alion.io/company/backbase","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":17,"ghost_share":0.059,"stale_share":0.471,"repost_share":0.176,"time_to_fill_p50_days":50,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unstructured.io","optional":false},{"name":"Azure Cosmos DB","optional":true},{"name":"pySpark","optional":true}],"status":"live","first_seen_at":"2026-11-02T08:53:05Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T05:42:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Job in short\nThe Data Enablement team is here to enable every team in the organisation with their data needs. Our job starts the moment that data enters our platform and ends when it reaches whoever needs it. We are a small, senior team of data and AI engineers, working across customer data, product knowledge, and the data the organisation runs on.\nWe bring data in, reconcile it into one version people can rely on, and make it available to the right audience. Increasingly that audience is agents as well as people, so everything we build has to work for both. Two things must hold at every step: that only the right people can see it, and that we can prove it is correct. You build the platform that makes both possible.\nAs a Senior Data Engineer you own the foundation: the lakehouse, the pipelines that fill it, and the layers that serve it. We treat data as a product, so each one has a named owner, a documented contract with the teams who consume it, and stated expectations on freshness and quality. That includes Data as a Service, where internal and external teams run analytics on data held in our AI-powered Banking OS.\nThis is not only a tabular data job. A large part of it is a versioned documentation corpus, kept current, deduplicated and traceable across many product versions, and much of it arrives semi-structured rather than clean. The consumers are not only dashboards either. You build and maintain the MCP tools that let AI agents query documentation, API specs and release history directly. That is a meaningful part of the role, not a side project.\nWe hold pipelines to the same standard as application code: tested, reviewed, deployed through CI/CD, observable in production, and promoted properly across environments. If that is already how you think about data engineering, you will recognise this team quickly.\nMeet the job\nDevelop and maintain pipelines extracting data from many sources: RDBMS, Change Data Capture and streaming endpoints.\nProcess data ranging from observability metrics to bank accounts and transactions, in a highly secure and compliant manner.\nTransform raw data into business-ready analytical models on a Data Lakehouse.\nGuard data consistency, quality and end to end governance across the full lifecycle.\nUnstructured data at scale. Ingest and maintain a large versioned documentation corpus: incremental sync, change tracking, deduplication and freshness. Much of it is public or semi-structured source material rather than clean tabular data.\nAgent-facing data tools. Build and maintain MCP tools that let AI agents query documentation, API specs and release history. A meaningful part of this role.\nPipelines as software. GitHub Actions CI/CD, automated tests, observability and proper environment promotion across Fabric and Databricks. We automate through GitHub, and we expect the same engineering discipline from data pipelines as from application code.\nHow about you\nA Bachelor's or Master's degree in Computer Science, Data Science or a related field.\n5+ years of experience in data engineering, preferably Microsoft Fabric, Azure Databricks or Spark. Strong experience on another major cloud is fine if you are ready to convert.\nExpertise in Data Lakehouse concepts and Delta Lake.\nWorking knowledge of data regulation and compliance, and the judgement to know when to involve Legal.\nStrong technical leadership. You can drive a piece of work end to end, take the calls with other value streams and stakeholders yourself, and keep it moving without a project manager.\nExcellent written and verbal communication skills in English.\nProactive, autonomous and self-sufficient. You work independently on your own projects and take the calls with other value streams and stakeholders yourself.\nPython and SQL depth, including pipeline and query performance work.\nStrong pluses\nExperience with data contracts and making a platform other teams can self-serve from.\nA BI layer in production, such as Power BI.\nMachine learning fundamentals, enough to work with AI engineers as a peer.\nRetrieval and vector search. Building or maintaining the vector and hybrid search layer that AI products query.\nPreparing data for model training or fine-tuning, including anonymisation of sensitive data.\nInstrumenting retrieval so its quality can be measured by someone else.\nOur tech stack\nLanguages: Python, SQL.\nPlatform: Microsoft Fabric, Azure Databricks, Delta Lake, Azure Blob, Cosmos DB, Azure Key Vault.\nProcessing and orchestration: PySpark, Fabric pipelines and notebooks.\nOps: GitHub Actions, Fabric deployment pipelines, Power BI.\nAI surface: MCP, vector and hybrid search.","description_format":"text","description_chars":4635,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-11-02T11:07:09Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":50,"reasons":["conf:0","stale_co","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/backbase-senior-data-engineer-2","json_url":"https://alion.io/job/backbase-senior-data-engineer-2.json","meta":{"generated_at":"2026-11-04T06:19:24Z","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":9855,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":18103},"rest":"https://alion.io/mcp/rest/get_company?id=18103"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbackbase-senior-data-engineer-2"},{"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%2Fbackbase-senior-data-engineer-2"},{"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%2Fbackbase-senior-data-engineer-2"},{"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/backbase-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbackbase-senior-data-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3604519}},{"tool":"search_jobs","arguments":{"company":"backbase.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3604519},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}