{"id":1338959,"url":"https://alion.io/job/globe-telecom-data-analytics-engineering","title":"Data Analytics Engineering","company":{"id":50025,"name":"Globe Telecom","domain":"globe.com.ph","url":"https://alion.io/company/globe-telecom","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":232,"ghost_share":0.336,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":121,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Analytics","role_family":"Analytics","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":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":33000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3468},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GitOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2024-10-18T00:00:00Z","employer_posted_date":"2024-10-18","last_verified_at":"2026-11-01T20:36:47Z","board_verified":true,"closed_at":null,"days_open":744,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":744},"description":"At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.\nJob Description\nAre you driven by a passion for creating robust, scalable data solutions that can handle the ever-increasing volume, velocity, and variety of data spanning a wide range of areas?Are you excited about designing real-time data processing systems that can handle millions of transactions per second? Do you aspire to build fault-tolerant, highly available data pipelines that ensure business continuity and support critical operations? Do you dream of putting together data solutions that bring data together while allowing for fast, complex queries that can influence and drive business decisions?\nAs a data engineer, you’re at the forefront of the data movement, bridging the gap between raw information and actionable insights. Your role is crucial in refining and maintaining the data backbone of Globe, supporting both operational efficiency and analytical workloads.\nYour aspirations might include:\nArchitecting data platforms that seamlessly integrates both operational and analytical workloads, providing trusted sources of data for the entire organization.\nDesigning and implementing scalable, reusable data pipelines, defining frameworks, and leading data-related projects to support the company's needs.\nImplementing cutting-edge data governance and security measures to ensure compliance with regulations like DPA or GDPR while maintaining data accessibility.\nExploring the potential of cloud-native data solutions and multi-cloud strategies to optimize cost and performance.\nAdvocating for and implementing DataOps practices to increase collaboration between data practitioners, and other stakeholders.\nAs a data engineer, you're not just building systems; you're shaping how Globe interacts with and derives value from its data. Your work has the potential to unlock new business opportunities, drive innovation, and inform strategic decisions at the highest levels.\n Your daily grind:\nBuild and maintain robust data platforms for operational use cases.\n\nDesign and implement scalable, reusable data pipelines, defining frameworks, and leading data-related projects to support the company's operational needs.\n\nDevelop Data Platform by leading the design, development, and maintenance of a scalable data platform to support various operational data use cases.\n\nDefine and establish frameworks governance and best practices for data pipeline design, development, and deployment, ensuring efficiency and scalability.\n\nCreate architecture, design, and implement reusable and efficient data pipelines for ingesting, processing, and transforming data from diverse sources into formats ready for operational use, while adhering to best practices in automation and optimization.\n\nProvide accurate level-of-effort estimates for new initiatives and change requests, facilitating effective project evaluation, budgeting, and tracking for success.\n\nDevelop proofs-of-concept, minimum viable products (MVPs), prototypes, and product demos to showcase the feasibility and potential of new data solutions.\n\nUtilize project management methodologies and tools to plan, execute, and monitor data projects, ensuring timely delivery and alignment with business objectives.\n\nStay up-to-date with emerging data technologies, frameworks, and tools, and assess their potential impact on the organization’s data strategy and operations.\n\nEnsure that data security best practices are integrated into all aspects of data platform development and pipeline management.\n\nSupport in designing data pipelines, data lakes, warehouses, and machine learning solutions to power other business units with data.\n\nBuild, and produce scaled data pipelines, lakehouses, and machine learning infrastructure on AWS or GCP.\n\nMaintain efficient, accurate and safe data storage and flow, and right-size data infrastructure resources based on usage analytics and workload profiling.\n\nAssess operationalization of technologies like distributed computing, streaming analytics, and cloud-native data patterns in ISG’s environment.\n\nCollaborate with Cloud & Infra Engineers to implement automation and policies to eliminate waste, stop unused resources, increase efficiency.\n\nTroubleshoot and resolve data-related issues\n\nThroughout your day, you’ve tackled challenges in data integration, optimization, and architecture, all while ensuring that your Globe’s data remains accurate, accessible, and secure. Your work forms the backbone of our data-centric processes.\nWhat You Bring to the Table:\nTechnical Expertise:\nStrong background in programming languages like Python, SQL and Java\n\nIn-depth knowledge of Data Engineering tools is preferred (Airflow, NiFi, Dataflow, AWS Glue)\n\nExperience in ETL development and management\n\nExperience in Data warehousing solutions (Snowflake, Redshift, BigQuery)\n\nExperience with Cloud Platforms (AWS and GCP)\n\nIn-depth experience in automated data pipeline design, implementation and support\n\nExperience in Data Processing, Data Tools, Data modeling\n\nFamiliarity with GitOps Principles\n\nExperience in DevSecOps Processes\n\nUnderstanding of data engineering design and development best practices\n\nUnderstanding of data management best practices\n\nExperience: 5+ years of hands-on experience as a Data Engineer, in designing and implementing data solutions and data pipelines.\n\nProblem-Solving Mindset: Analytical, with the ability to take on abstract business challenges, and design practical and scalable solutions.\n\nStrong Communication Skills: Comfortable in translating technical requirements into clear, concise business objectives.\n\nTeam Leadership: Experienced in guiding cross-functional teams to success in a fast-paced, agile environment.\n\nMake Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.","description_format":"text","description_chars":6076,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-27T15:14:04Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":744,"expected_fill_days":121,"reasons":["conf:8","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/globe-telecom-data-analytics-engineering","json_url":"https://alion.io/job/globe-telecom-data-analytics-engineering.json","meta":{"generated_at":"2026-11-01T23:55:40Z","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":36283,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":50025},"rest":"https://alion.io/mcp/rest/get_company?id=50025"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglobe-telecom-data-analytics-engineering"},{"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%2Fglobe-telecom-data-analytics-engineering"},{"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%2Fglobe-telecom-data-analytics-engineering"},{"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/globe-telecom-data-analytics-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglobe-telecom-data-analytics-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1338959}},{"tool":"search_jobs","arguments":{"company":"globe.com.ph","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1338959},"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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