{"id":2041396,"url":"https://alion.io/job/hcltech-technical-specialist-54","title":"Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"GitHub","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-07T17:59:39Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-08T00:54:43Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nDHL Supply Chain UK&I | Data & Analytics / Digital Platforms Duration: 3-6 months | Location: Remote with UK&I travel; initial onboarding and co-working near Milton Keynes Audience: Recruitment agencies and specialist data engineering consultancies Role Summary DHL Supply Chain UK&I is seeking an Expert / Principal Data Engineer contractor to provide senior technical capability across its strategic data platform roadmap. This is a hands-on engagement for an accomplished engineer who can rapidly understand a complex enterprise environment, take ownership of difficult delivery challenges and leave the platform stronger, more automated and easier to support. Singularity is DHL Supply Chain’s strategic data platform initiative: a standardised, multi regional data lakehouse providing a trusted foundation for onboarding operational data. It brings data from multiple source systems into a governed environment, applies shared data and reference models, and enables consistent reporting, analytics, reusable data products and scalable delivery across customers, sites and business functions. The engagement will operate across two connected phases: accelerating current Singularity onboarding and delivery, followed by platform modernisation, optimisation and automation. Engagement Objectives\nIncrease delivery capacity and momentum across the Singularity onboarding roadmap.\nResolve complex ingestion, transformation, validation and deployment challenges.\nImprove operational readiness, supportability, documentation and engineering controls.\nAccelerate modernisation within Azure Databricks and strengthen platform scalability.\nEmbed repeatable automation and engineering practices that provide sustainable value beyond the engagement. Key Responsibilities Phase 1 - Singularity Onboarding & Delivery Support\nLead and accelerate onboarding activities across operational and customer data sources.\nEngineer and troubleshoot ingestion, transformation and orchestration pipelines using Python, PySpark and SQL.\nPerform data validation, reconciliation and quality assurance through test and production deployment.\nResolve data mapping, schema, pipeline and source-quality issues while maintaining delivery momentum.\nStrengthen onboarding processes, technical documentation, deployment controls and operational handover.\nWork effectively with technology, analytics and business stakeholders, communicating risks, dependencies and decisions clearly. Phase 2 - Platform Modernisation & Automation\nSupport migration and optimisation activities within Azure Databricks, Delta Lake and wider lakehouse architectures.\nDesign reusable, metadata-driven and automation-led approaches to data ingestion and transformation.\nImprove pipeline performance, scalability, maintainability and cost-conscious engineering.\nEnhance monitoring, alerting, data-quality controls, troubleshooting and operational support.\nContribute pragmatic standards for coding, testing, deployment, governance and platform sustainability.\nSupport the transition from specialist knowledge and manual intervention towards repeatable, supportable engineering patterns. Required Experience\nSenior-level data engineering experience.\nProven delivery of production-grade data solutions.\nStrong Azure and Databricks expertise.\nExperience designing, building and supporting scalable data platforms.\nData modelling, pipeline optimisation and troubleshooting skills.\nExperience with migration and transformation programmes. Candidates should also demonstrate strong problem-solving, independent ownership, comfort with ambiguity, excellent stakeholder engagement and a pragmatic delivery mindset. The successful contractor will focus on outcomes, communicate candidly and continually look for opportunities to simplify, automate and improve. Desirable Experience\nMicrosoft Fabric.\nGithub / Guthub actions\nPower BI.\nMetadata-driven ingestion frameworks.\nData product delivery.\nSupply chai\nKey Responsibilities\nDHL Supply Chain UK&I | Data & Analytics / Digital Platforms Dueration: 3-6 months | Location: Remote with UK&I travel; initial onboarding and co-working near Milton Keynes Audience: Recruitment agencies and specialist data engineering consultancies Role Summary DHL Supply Chain UK&I is seeking an Expert / Principal Data Engineer contractor to provide senior technical capability across its strategic data platform roadmap. This is a hands-on engagement for an accomplished engineer who can rapidly understand a complex enterprise environment, take ownership of difficult delivery challenges and leave the platform stronger, more automated and easier to support. Singularity is DHL Supply Chain’s strategic data platform initiative: a standardised, multi regional data lakehouse providing a trusted foundation for onboarding operational data. It brings data from multiple source systems into a governed environment, applies shared data and reference models, and enables consistent reporting, analytics, reusable data products and scalable delivery across customers, sites and business functions. The engagement will operate across two connected phases: accelerating current Singularity onboarding and delivery, followed by platform modernisation, optimisation and automation. Engagement Objectives\nIncrease delivery capacity and momentum across the Singularity onboarding roadmap.\nResolve complex ingestion, transformation, validation and deployment challenges.\nImprove operational readiness, supportability, documentation and engineering controls.\nAccelerate modernisation within Azure Databricks and strengthen platform scalability.\nEmbed repeatable automation and engineering practices that provide sustainable value beyond the engagement. Key Responsibilities Phase 1 - Singularity Onboarding & Delivery Support\nLead and accelerate onboarding activities across operational and customer data sources.\nEngineer and troubleshoot ingestion, transformation and orchestration pipelines using Python, PySpark and SQL.\nPerform data validation, reconciliation and quality assurance through test and production deployment.\nResolve data mapping, schema, pipeline and source-quality issues while maintaining delivery momentum.\nStrengthen onboarding processes, technical documentation, deployment controls and operational handover.\nWork effectively with technology, analytics and business stakeholders, communicating risks, dependencies and decisions clearly. Phase 2 - Platform Modernisation & Automation\nSupport migration and optimisation activities within Azure Databricks, Delta Lake and wider lakehouse architectures.\nDesign reusable, metadata-driven and automation-led approaches to data ingestion and transformation.\nImprove pipeline performance, scalability, maintainability and cost-conscious engineering.\nEnhance monitoring, alerting, data-quality controls, troubleshooting and operational support.\nContribute pragmatic standards for coding, testing, deployment, governance and platform sustainability.\nSupport the transition from specialist knowledge and manual intervention towards repeatable, supportable engineering patterns. Required Experience\nSenior-level data engineering experience.\nProven delivery of production-grade data solutions.\nStrong Azure and Databricks expertise.\nExperience designing, building and supporting scalable data platforms.\nData modelling, pipeline optimisation and troubleshooting skills.\nExperience with migration and transformation programmes. Candidates should also demonstrate strong problem-solving, independent ownership, comfort with ambiguity, excellent stakeholder engagement and a pragmatic delivery mindset. The successful contractor will focus on outcomes, communicate candidly and continually look for opportunities to simplify, automate and improve. Desirable Experience\nMicrosoft Fabric.\nGithub / Guthub actions\nPower BI.\nMetadata-driven ingestion frameworks.\nData product delivery.\nSupply che\nSkill Requirements\nOther Requirements","description_format":"text","description_chars":7956,"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":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-07T17:59:39Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-08T02:45:16Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-technical-specialist-54","json_url":"https://alion.io/job/hcltech-technical-specialist-54.json","meta":{"generated_at":"2026-10-08T02:45:16Z","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","counted_by":"address","units_charged":1,"used_today":4820,"day_limit":5000,"remaining_today":180,"minute_limit":60,"resets_at":"2026-10-09T00:00:00Z"}},"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-technical-specialist-54"},{"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%2Fhcltech-technical-specialist-54"},{"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%2Fhcltech-technical-specialist-54"},{"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/hcltech-technical-specialist-54\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-technical-specialist-54"}]}