{"id":701218,"url":"https://alion.io/job/telefonica-tech-senior-data-analytics-engineer","title":"Senior Data Analytics Engineer","company":{"id":53683,"name":"Telefónica Tech","domain":"telefonicatech.com","url":"https://alion.io/company/telefonica-tech","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":134000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Crowdstrike","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-22T13:30:54Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-29T08:04:26Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":98},"description":"Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities.\nWe serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany.\nThe Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI (Adatis), Enterprise Applications (Incremental), Workplace Services and Cyber Security & Networking.\nValues: Open, Trusted and Bold\nTrusted Partners:\nMicrosoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner\nHPE: Platinum Partner - FY23 UK&I Solution Provider of the Year\nPalo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio\nFortinet: Elite VIP Program - one of only 2 in the UK\nAWS: Advanced Solution & Managed Service Provider Program\n Senior Data Analytics Engineer\nPurpose\nAs part of the Telefonica Tech Data Office, the Senior Data Analytics Engineer is responsible for designing, building, and continuously improving analytics data products across the full platform lifecycle. This role requires both soft skills and technical capability to translate business requirements into production-grade data models and reports, and ensures the business obtains value from the work delivered.\nAs a senior member of the team, this role also carries responsibility for leading a small group of engineers - setting direction, growing capability, and fostering a culture of quality and collaboration. Equally important is the ability to build trusted relationships with business stakeholders, communicate clearly across technical and non-technical audiences, and represent the data platform as a reliable partner to the wider organisation.\nResponsibilities\nTechnical Delivery\nDesign and build ingestion pipelines across a variety of sources using ADF and Databricks orchestration patterns.\nBuild and optimise data transformations in Databricks, including fact/dimension modelling for data marts.\nImplement metadata-driven engineering practices that use platform contracts and orchestration metadata to improve consistency, reusability, and scale.\nPartner with data product owners and reporting teams to evolve semantic models and ensure curated data aligns with reporting requirements.\nSupport CI/CD delivery across environments, and participate in release hardening.\nContribute to platform evolution by onboarding new sources, refining deployment templates/workflows, and mentoring engineers on engineering standards.\nDesigning and maintaining a business data ontology with canonical entities, relationships, and shared vocabulary.\nStakeholder Engagement & Communication\nEffective partnership with business stakeholders is as important as technical delivery in this role.\nBuild and maintain trusted relationships with business stakeholders, data product owners, and reporting teams - acting as a credible, approachable point of contact for data platform matters.\nTranslate ambiguous business problems into clear technical requirements, and communicate data solutions back in terms that non-technical audiences can understand and act on.\nFacilitate requirements-gathering conversations and workshops, asking the right questions to uncover underlying needs rather than surface-level requests.\nProactively communicate progress, blockers, and delivery risks to stakeholders before they become issues - setting realistic expectations and following through on commitments.\nProduce clear, audience-appropriate documentation and updates: from concise summaries to structured status reports.\nRepresent the data engineering team in cross-functional forums, contributing constructively to planning, prioritisation, and design discussions.\nTeam Leadership & Engineering Culture\nThis role leads a small engineering team, with accountability for their day-to-day output, growth, and ways of working.\nSet clear expectations around engineering standards, code quality, and delivery practices - leading by example through your own work and reviews.\nRun effective team rituals: sprint planning, standups, retrospectives, and technical design discussions that keep the team aligned, unblocked, and continuously improving.\nIdentify skills gaps across the team and create opportunities for growth - through pair programming, structured review, stretch assignments, and knowledge sharing.\nShield the team from unnecessary noise and context-switch, while ensuring they have the business context needed to make good engineering decisions.\nCompetencies\nThe following competencies describe how this role is expected to operate - both technically and as a senior individual contributing to team and organisational effectiveness.\nPlatform ownership mindset: takes end-to-end accountability from ingestion all the way through to consumption.\nAnalytical engineering depth: translates business requirements into maintainable data models and performant transformation logic.\nData quality discipline: designs for validation, testability, lineage awareness, and predictable operational behaviour.\nCollaboration and influence: works effectively across engineering, analytics, and business stakeholders; drives clear technical decisions.\n Senior execution: balances speed and rigor, improves existing patterns, and raises team capability through mentoring and review.\nSkills & Technologies\nCore Data Engineering\nPython, PySpark, Spark SQL, SQL (T-SQL), Delta Lake patterns.\nData warehouse and data mart modeling: fact/dimension design, slowly changing dimensions, schema evolution.\nPlatform Stack\nDatabricks notebooks and workflows; Azure Data Factory pipelines.\nMetadata-driven orchestration patterns and platform contract design.\nAnalytics Consumption\nPower BI / Fabric semantic model and report delivery workflows.\nAnalytics-facing schema design; close collaboration with reporting and BI teams.\nDelivery Engineering\nAzure DevOps pipelines (YAML); multi-environment deployment practices.\nGit-based collaboration, PR workflows, and code review standards.\nEngineering Practices\nAutomated data testing, observability, and troubleshooting of orchestration runs.\nDocumentation of data contracts, lineage, and platform standards.\nPeople & Communication\nStructured stakeholder communication: requirements gathering, status reporting, escalation management.\nFacilitation of team ceremonies and cross-functional workshops.\nWritten communication skills: clear documentation, proposals, and async updates for mixed technical/business audiences.\nCoaching and mentoring: ability to develop engineers at different levels through feedback, review, and structured support.\nAt Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger.\nBe yourself with us, and feel that you belong.\nWe welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation.\nWe are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability.\nWe don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.","description_format":"text","description_chars":7814,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity"],"lifecycle":[{"event":"open","at":"2026-09-11T02:56:35Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.467,"p_room":0.28,"age_days":98,"expected_fill_days":31,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/telefonica-tech-senior-data-analytics-engineer","json_url":"https://alion.io/job/telefonica-tech-senior-data-analytics-engineer.json","meta":{"generated_at":"2026-10-29T10:43:11Z","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":16244,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":53683},"rest":"https://alion.io/mcp/rest/get_company?id=53683"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftelefonica-tech-senior-data-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%2Ftelefonica-tech-senior-data-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%2Ftelefonica-tech-senior-data-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/telefonica-tech-senior-data-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftelefonica-tech-senior-data-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":701218}},{"tool":"search_jobs","arguments":{"company":"telefonicatech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":701218},"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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