{"id":3879226,"url":"https://alion.io/job/jacobs-data-engineer","title":"Data Engineer","company":{"id":58630,"name":"Jacobs","domain":"jacobs.com","url":"https://alion.io/company/jacobs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-06T17:27:14Z","employer_posted_date":null,"last_verified_at":"2026-11-06T17:27:14Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.\n\nYour impact\n\nDesign, develop and maintain scalable data pipelines and data integration solutions using cloud-based technologies.\nBuild batch and, where required, near-real-time ingestion and transformation workflows across structured and unstructured data sources.\nUse Python and SQL to extract, transform, validate and manage data.\nWork with cloud data platforms and services, with Microsoft Azure experience particularly relevant. Technologies may include Azure Data Lake, Azure Data Factory, Azure Functions, Microsoft Fabric, Databricks and equivalent services.\nApply data processing technologies such as Apache Spark, PySpark and Delta Lake when appropriate.\nDevelop and maintain data models, data structures and curated datasets for analytics, enterprise applications and AI/ML use cases.\nProfile, cleanse, standardise and validate data, working with subject matter experts where domain interpretation is required.\nImplement data quality checks, testing, monitoring, logging, security and performance controls.\nSupport processing of documents and other unstructured information, including metadata extraction and transformation where appropriate.\nContribute to data architecture, integration patterns and technical design decisions.\nWork with AI engineers, software developers, solution architects, analysts and business stakeholders to translate requirements into deliverable solutions.\nSupport deployment, troubleshooting, maintenance and continuous improvement of data workflows.\nProduce clear technical documentation and contribute to knowledge transfer across distributed teams.\n\nHere's what you'll need\n\nAt least 3 years of commercial experience in data engineering, data integration or a closely related software/data role.\nStrong programming experience in Python and strong SQL skills.\nPractical experience designing, building and maintaining ETL/ELT pipelines.\nExperience working with relational databases and data storage platforms.\nExperience with at least one cloud platform; Microsoft Azure is preferred.\nUnderstanding of data modelling, data transformation, data quality and data governance principles.\nExperience integrating data from multiple sources, including APIs, databases, files or enterprise systems.\nFamiliarity with Git and collaborative software development practices.\nAbility to investigate data issues, solve problems systematically and communicate technical findings clearly.\nAbility to work with technical teams and business or engineering subject matter experts.\nGood written and spoken English and ability to work effectively with distributed teams.\n\nNICE TO HAVE\n\nHands-on experience with Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics or Azure Databricks.\nExperience with Apache Spark, PySpark or Delta Lake.\nExperience with document processing, unstructured data, metadata extraction or knowledge-management solutions.\nExperience preparing data for machine learning, generative AI or retrieval-augmented generation (RAG) applications.\nFamiliarity with vector search, embeddings or AI data preparation workflows.\nExperience with Docker, CI/CD pipelines, automated testing or infrastructure-as-code practices.\nExperience with Power BI or semantic data modelling.\nExperience in engineering, infrastructure, utilities, transport or other complex technical domains.\nRelevant Microsoft, Databricks or cloud certifications.\n\nAt Jacobs we value people. Having the right balance of belonging, career and lifestyle enables us to consistently deliver and exceed clients expectations.\n\nWorking alongside industry leaders, you will have the opportunity to develop your career working on key projects in an environment which encourages collaboration, knowledge sharing and innovation. To support your professional growth, Jacobs flexible working arrangements, extended leave options and a host of social, health and wellbeing events and initiatives will underpin our commitment to you.\n\nAt Jacobs it's all about what you do, not where you are, which counts!\n\nWe value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.\n\nYour application experience is important to us, and we're keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.","description_format":"text","description_chars":4972,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-06T17:33:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["seen:0","win:early"],"computed_at":"2026-11-06T21:35:14Z"},"pay":null,"html_url":"https://alion.io/job/jacobs-data-engineer","json_url":"https://alion.io/job/jacobs-data-engineer.json","meta":{"generated_at":"2026-11-06T21:35:14Z","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":2189,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":58630},"rest":"https://alion.io/mcp/rest/get_company?id=58630"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjacobs-data-engineer"},{"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%2Fjacobs-data-engineer"},{"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%2Fjacobs-data-engineer"},{"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/jacobs-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjacobs-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3879226}},{"tool":"search_jobs","arguments":{"company":"jacobs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3879226},"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. 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