{"id":2277433,"url":"https://alion.io/job/maersk-senior-data-engineer-3","title":"Senior Data Engineer","company":{"id":7034,"name":"Maersk","domain":"maersk.com","url":"https://alion.io/company/maersk","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":682,"ghost_share":0,"stale_share":0.204,"repost_share":0.001,"time_to_fill_p50_days":37,"computed_at":"2026-10-31T05:58:55Z"}},"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":16000,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"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":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Jira","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-31T20:09:09Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":22},"description":"About us Maersk is a global leader in integrated logistics and has been an industry pioneer for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. To learn more about everything that Maersk does, visit us at www.maersk.com.\nDo you want to build the data foundation behind how a global logistics leader steers its commercial business? As a Senior Data Engineer in our Commercial Data Products & Reporting team, you will own the pipelines, semantic models and reporting data behind a governed portfolio of global standard reports. This is the “one set of numbers” used by sales leadership, finance business partners and area teams worldwide.\nAbout the Role\nYou will join a small, integrated team of Product Owners, Reporting Analysts and engineers across Denmark and India. Engineering and reporting are built as one product, not handed over between silos. You will be the technical anchor for the data layer and cover the whole chain:\nIngestion and transformation in Azure Databricks and ADLS.\nOrchestration in Azure Data Factory.\nSemantic models in Azure Analysis Services (AAS) and Power BI / Fabric, which our dashboards and reports are built on.\nWe are evolving our semantic layer and using AI assistants and agents in our engineering work. You will help shape both.\nKey Responsibilities\nBuild and own the data layer\nDesign, build and run scalable data pipelines in Azure Databricks (SQL/PySpark) on ADLS, orchestrated with Azure Data Factory, integrating multiple ERP and operational source systems.\nDesign, maintain and optimize Azure Analysis Services models and Power BI / Fabric semantic models, moving business logic upstream into the data platform where it improves performance and maintainability.\nWork with Product Owners and Reporting Analysts to turn requirements into governed data products, dashboards and reports.\nKeep it reliable\nOwn the monitoring and refresh of scheduled pipelines and models, including root-cause analysis when something fails.\nMaintain runbooks, documentation and lineage so the landscape can be supported by more than one person.\nApply Git-based version control, code review and dev-to-prod promotion, and uphold data quality and governance standards.\nMake it smarter\nUse AI assistants and agents in everyday engineering work, for example for code, testing and documentation, and help make our data AI-ready.\nBuild reusable components and automation that reduce manual effort and scale the reporting landscape.\nIntroduce and champion new technologies and practices that improve efficiency, scalability and cost.\nGrow the team\nCoach Reporting Analysts and new colleagues on engineering good practice.\nShare knowledge openly, so that no capability depends on a single person.\nWhat We’re Looking For\nYou don’t need to tick every box. If you match most of the core requirements, we would like to hear from you.\nTechnical skills\nBackend engineering: hands-on experience with Azure Databricks (SQL/PySpark), ADLS and Azure Data Factory.\nSemantic layer: hands-on experience with Azure Analysis Services and Power BI / Fabric modelling (including DAX).\nCore languages: strong SQL and Python.\nAI: first hands-on experience using AI, such as coding assistants or agents, to support your work, and the curiosity to go further.\nNice to have: Dremio or similar query layers, MDX, experience migrating from AAS to Power BI semantic models on Databricks, and knowledge of commercial or finance reporting.\nHow you work\nYou explain technical trade-offs clearly to non-technical stakeholders and push back constructively on scope.\nYou turn ambiguous requests into clear requirements and scalable solutions.\nYou work well in a globally distributed team, with clear written communication and handovers.\nYou take ownership end to end, you mentor others, and you share knowledge generously.\nYou are comfortable with Agile ways of working and tools such as Jira.\nQualifications\nBachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems or a related field, or equivalent practical experience.\n5+ years of experience in data engineering and/or BI engineering.\nWhat We Offer\nEnd-to-end ownership of a data stack, with a direct line to the product owners and business users who rely on it.\nVisible impact: data used by Commercial leadership and area teams around the world.\nHands-on adoption of AI and agents in your engineering work.\nA learning-focused environment with a clear career framework, defined skills and proficiency levels by job level.\nThe chance to work in an integrated team where data engineering and reporting are built as one product.\nNote: The position can be based in either Pune or Bangalore.\nMaersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.\nWe are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing .","description_format":"text","description_chars":5972,"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":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sea Freight","Logistics","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-10-11T10:08:53Z"},{"event":"reopen","at":"2026-10-19T15:47:29Z"}],"visa":[],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.864,"p_room":0.9,"age_days":22,"expected_fill_days":37,"reasons":["conf:4","velocity","win:mid","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/maersk-senior-data-engineer-3","json_url":"https://alion.io/job/maersk-senior-data-engineer-3.json","meta":{"generated_at":"2026-10-31T20:42:49Z","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":32588,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":7034},"rest":"https://alion.io/mcp/rest/get_company?id=7034"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmaersk-senior-data-engineer-3"},{"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%2Fmaersk-senior-data-engineer-3"},{"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%2Fmaersk-senior-data-engineer-3"},{"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/maersk-senior-data-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmaersk-senior-data-engineer-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2277433}},{"tool":"search_jobs","arguments":{"company":"maersk.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2277433},"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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