{"id":3504854,"url":"https://alion.io/job/mace-senior-data-engineer","title":"Senior Data Engineer","company":{"id":678612,"name":"Mace","domain":"macegroup.com","url":"https://alion.io/company/macegroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":35000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"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":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-20T00:00:00Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-11-03T18:06:52Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.\nThe role:\nThe role is for a senior data engineer specializing in the Microsoft cloud data stack. It is a client-facing role supporting fee-earning projects and programmes.\nThe principal responsibility of the role is to contribute to the development of digital tools, processes and outputs, including the data infrastructure underpinning all BI activity, that support the wider project team and enable effective delivery of projects for our clients.\nAs part of your role, you will interface with the Mace project team and occasionally stakeholders from other organizations, if working on a joint venture project or directly for a client. You will be part of the Digital Centre of Excellence community, sharing knowledge and experience with other BI and Data professionals.\nThis is an excellent opportunity to learn from experienced practitioners and further develop your technical skill set.\nYou'll be responsible for:\nDeveloping and maintaining data ingestion pipelines in Microsoft Fabric.\nDesigning and building the lakehouse and warehouse layers, and modelling a curated consumption layer for direct use by BI developers.\nInterpreting source system specifications and agreeing data requirements with system providers and other stakeholders.\nDeveloping, optimising and troubleshooting transformations in PySpark notebooks and SQL.\nEstablishing and operating CI/CD for Fabric items through Azure DevOps across development, test and production environments.\nValidating data against source systems and communicating findings clearly to clients and colleagues.\nAdhering to a structured development lifecycle that includes requirements definition, design, development and testing, user acceptance testing, deployment, handover and post-implementation support.\nAttending training and other sessions organized by the centre of excellence, as well as keeping your knowledge of the industry up to date through self-endeavor and structured training as directed.\nYou'll need to have:\nExperience of Microsoft Fabric is preferred; candidates whose depth is in Azure Data Factory, Azure Synapse or Databricks are encouraged to apply and will be supported to develop their Fabric skills in the role.\nA minimum of 3 years' experience with data engineering tools.\nThe ability to write and optimise complex SQL against a data warehouse.\nPython, including PySpark for transformation in Fabric notebooks.\nA solid working knowledge of ELT and ETL, medallion architecture and lakehouse design principles, and demonstrable experience of building data warehouses and data marts.\nDemonstrable experience of integrating data from APIs, including pagination and the management of schema change.\nEffective management of version control and release processes throughout the development lifecycle.\nKnowledge of good data structure and an understanding of data security.\nEvidence of organized ways of working to manage deliverables to time and quality.\nUnderstanding of working in a consultancy environment and management of stakeholders including clients, colleagues and data owners.\nExcellent written and oral communication skills (in English), including the ability to explain technical matters to a non-technical audience.\nYou'll also have:\nA working knowledge of DAX and M, sufficient to collaborate effectively with our BI developers, who lead on report development.\nThe ability to work collaboratively as part of a team.\nA willingness to share knowledge and support the development of others.\nThe confidence to ask questions, make suggestions and challenge the status quo.\nA commitment to working inclusively, an aptitude for problem-solving, and good interpersonal skills.\nOur values\nSafety first - Going home safe and well: We champion a safe, diverse and inclusive working environment, understanding the importance of wellbeing in every team.\nClient focus - Deliver on our promise: We own the quality of deliverables, strategic outcomes and build long term relationships with our clients.\nIntegrity - Always do the right thing: We influence positive outcomes within our industry, while always aligning with our compliance obligations.\nCreate opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.\nMace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organisation.\nWe are also open to discussing part time, flexible, and hybrid working options if suitable within the role.","description_format":"text","description_chars":4867,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Philippines","iso":"PH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems"],"lifecycle":[{"event":"open","at":"2026-10-30T05:14:10Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.832,"p_room":0.44,"age_days":44,"expected_fill_days":44,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/mace-senior-data-engineer","json_url":"https://alion.io/job/mace-senior-data-engineer.json","meta":{"generated_at":"2026-11-03T19:49:37Z","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":2379,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":678612},"rest":"https://alion.io/mcp/rest/get_company?id=678612"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmace-senior-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%2Fmace-senior-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%2Fmace-senior-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/mace-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmace-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3504854}},{"tool":"search_jobs","arguments":{"company":"macegroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3504854},"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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