{"id":3404952,"url":"https://alion.io/job/cushman-wakefield-analytics-engineer","title":"Analytics Engineer","company":{"id":448742,"name":"Cushman & Wakefield","domain":"cushmanwakefield.com","url":"https://alion.io/company/cushmanwakefield-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":9,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":122000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-28T15:52:41Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T10:43:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Title\nAnalytics EngineerJob Description Summary\nAnalytics Engineer | Databricks | Agentic AI | EMEA & APACWe lead the data transformation of our EMEA and APAC business, and we are looking for an Analytics Engineer to join us.\nOur lakehouse platform is mature and well established. It is built on Databricks and already runs the business end to end. What comes next is the harder part, putting agentic capability to work at real enterprise scale and across a wide range of domains.\nYou will take on problems nobody has written the playbook for, make calls that matter, and build depth across several domains early enough to shape where the platform goes next. Very few organisations in our sector have started this work, so you will pick up a skill set you would struggle to find anywhere else in this industry.\nYou will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that keeps those assets scaling, and getting them ready for agentic and AI-led delivery. If you want work that carries real weight, we would like to hear from you.\nJob Description\nWe leadthe data transformation of our EMEA and APAC business, and we are looking foran Analytics Engineer to joinus.\nOur lakehouseplatform is matureand well established.It is builton Databricksand already runsthe business end to end. What comes nextis the harder part, puttingagentic capability to work at realenterprise scaleandacross a wide rangeof domains.\nYou will take on problems nobody has written the playbook for, make calls that matter, and build depth across several domains early enough to shape where the platform goes next. Very few organisations in our sector have started this work, so you will pick upa skill set you would struggle to find anywhere elsein this industry.\nYou will sitbetween data engineering and the business. That means turningcommercial questions intosemantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that keepsthose assets scaling,and gettingthem ready for agentic and AI-led delivery. If you want work that carriesreal weight, we would like to hear from you.\nResponsibilities\nDesign, build, and maintain semantic models and curated datasets on the Databricks platform, ensuring they are performant, reusable, and aligned with governance standards.\nAct as the technical bridge between the central Data Engineering team and transformation/business stakeholders, translating ambiguous business questions into structured data models.\nBuild and maintain automation/AI-readiness scoring frameworks - turning taxonomy and process data into structured, defensible metrics used in executive business cases.\nProduce the quantitative backbone of transformation business cases: current-state baselines, savings and benefit tracking, scenario/what-if models, and before/after comparisons.\nStandardise datasets and business logic so that transformation workstreams (cost optimisation, resourcing, margin analysis) build consistently on a shared foundation rather than one-off extracts.\nCollaborate with the data engineering team on the design of upstream data assets, ensuring they meet the requirements of scalable, transformation-facing analytics.\nContribute to data assets and pipelines that are structured to support AI, machine learning, and agentic workflows - increasingly the default mode of delivery rather than a side project.\nMonitor and optimise the performance of data models and semantic layers, proactively identifying and resolving data quality issues before they reach executive reporting.\nSupport platform adoption through documentation, standards, and knowledge transfer, contributing to best practices for data modelling, naming conventions, and dataset architecture.\nParticipate in peer reviews of data models to ensure consistency and quality before release into business-critical decks and workbooks.\nRequirements\nBachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, Econometrics, or a related quantitative discipline.\nMinimum 3 years of experience in a data engineering, analytics engineering, or BI development role.\nStrong hands-on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake).\nProficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic.\nSolid understanding of data modelling principles - star schema, dimensional modelling, DAX.\nExperience with Power BI and the Microsoft Power Platform, including building on top of central/curated data models.\nFamiliarity with data pipeline concepts, transformation logic, and ETL/ELT processes.\nWorking understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this is now a core expectation of the role, not a nice-to-have.\nComfortable translating business logic (cost models, scoring frameworks, taxonomy-based classifications) into structured, auditable transformations.\nStrong understanding of data governance, data quality, and documentation best practices.\nComfortable operating with ambiguity - transformation asks arrive half-formed and evolve as the business case develops.\nExcellent written and visual communication - you'll be producing numbers that go straight into executive decks and capital-approval workbooks.\nMicrosoft Fabric Analytics Engineer Associate (DP-600) or Databricks certification desirable; PL-300 or DP-203 advantageous.\nExperience working within an Agile or hybrid delivery model is an advantage.\nFluent in English; additional European languages an advantage.\nNice to have\nExperience supporting business cases, cost transformation, or restructuring programmes.\nExposure to workforce/organisational modeling (headcount, resourcing, cost-to-serve).\nReal estate or professional services domain experience.\nGit-based workflows and code review habits.\nCushman & Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor’s attention once they have made contact.\nINCO: “Cushman & Wakefield”","description_format":"text","description_chars":6865,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial Real Estate","Property Management","Real Estate Brokerage","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-10-28T15:52:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":7,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/cushman-wakefield-analytics-engineer","json_url":"https://alion.io/job/cushman-wakefield-analytics-engineer.json","meta":{"generated_at":"2026-10-30T15:45:04Z","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":3590,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":448742},"rest":"https://alion.io/mcp/rest/get_company?id=448742"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcushman-wakefield-analytics-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%2Fcushman-wakefield-analytics-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%2Fcushman-wakefield-analytics-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/cushman-wakefield-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcushman-wakefield-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3404952}},{"tool":"search_jobs","arguments":{"company":"cushmanwakefield.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3404952},"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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