{"id":2415953,"url":"https://alion.io/job/digital-data-engineer","title":"Data Engineer","company":{"id":4421508,"name":"Digital Enterprises","domain":"digital.enterprises","url":"https://alion.io/company/digital-14","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Karachi, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":79000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Vault","optional":false}],"status":"live","first_seen_at":"2026-10-13T03:24:15Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T06:32:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Data Engineer - Build the Data Backbone of ADAPT\n\nAbout digital.enterprises\ndigital.enterprises is shaping the future of the energy sector.\nWe help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations.\nBased in Doha, the gas capital of the world, we bring deep industry expertise together with cutting-edge digital thinking to transform how energy companies work, connect, and grow.\nIf youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.\n\nAbout ADAPT\nADAPT is our flagship digital platform a real-time digital mesh connecting the energy sectors Maintenance, Repair & Operations (MRO) ecosystem.\nIt replaces slow, fragmented processes with real-time intelligence and automation, connecting operators, contractors, and suppliers through live data, adaptive analytics, and secure, human-in-the-loop governance.\nBuilt on Microsoft cloud and AI, ADAPT delivers visibility, intelligence, and agility at industrial scale redefining how energy companies collaborate and compete.\n\nAbout the Role\nWe are hiring a Data Engineer to design and build secure, scalable data infrastructure for the energy sector. This role focuses on developing robust, high-performance data solutions that enable seamless connectivity across the supply chain from urgent maintenance events to complex planned turnarounds.\nYou will help create the real-time data foundation that powers ADAPT, providing instant visibility and insights that drive smarter, faster, and safer decisions in mission-critical environments.\nThe ideal candidate will have at least five years professional experience and demonstrate excellence in building well-documented, secure, and reliable data solutions that underpin digital transformation at scale.\nKey Responsibilities\nData Pipeline Development & Optimisation\nDesign and implement highly optimised pipelines for processing large-scale supply-chain data supplier performance, inventory, procurement transactions, and real-time equipment status.\nDevelop maintainable ETL/ELT processes supporting both planned and emergency operations, with emphasis on code reusability and long-term stability for 24/7 uptime.\nOptimise performance to ensure sub-second response for live dashboards and supplier availability.\nBuild automated data-quality frameworks to validate supplier qualifications, inventory accuracy, and compliance data essential to safety and reliability.\nSupport real-time analytics through streaming data pipelines powering live operational intelligence.\nSecurity & Compliance\nImplement strong data-security controls encryption, access management, and masking.\nDesign and enforce data-governance policies aligned with international standards (GDPR, HIPAA, etc.).\nConduct regular security audits and vulnerability assessments of data systems.\nApply row- and column-level security to protect sensitive data where required.\n\nAzure Cloud Infrastructure\nArchitect and maintain data solutions using Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.\nIntegrate Azure Key Vault, Active Directory, and managed identities for secure operations.\nOptimise Azure resources for cost efficiency and performance.\nDesign and implement backup and disaster-recovery strategies.\nLeverage Azure Monitor and Application Insights for proactive monitoring and alerting.\nMaintainability & Documentation\nCreate comprehensive technical documentation for pipelines, architectures, and processes.\nMaintain detailed runbooks and operational procedures.\nImplement version control and CI/CD pipelines for data workflows.\nDocument data lineage, transformation logic, and metadata repositories.\nCommunication & Collaboration\nCommunicate technical concepts clearly to both technical and business stakeholders.\nCollaborate with developers, analysts, and business teams to translate requirements into data solutions.\nProvide regular status updates and progress reports to management.\nSystem Maintenance & Optimisation\nMonitor system health proactively and implement preventive maintenance.\nDesign with maintainability at the core for fast troubleshooting and iteration.\nImplement automated testing for pipelines.\nDefine and uphold SLAs for data availability and quality.\nOptimise storage and retention for cost-effectiveness.\nRequirements\nEducation & Experience\nBachelors degree in Computer Science, Engineering, or Information Systems.\nMinimum 5 years professional experience in data engineering or related fields.\nProven success designing and implementing enterprise-scale data solutions.\nTechnical Skills\nHands-on expertise with Azure data services Data Factory, Databricks, Synapse Analytics, Data Lake.\nProficiency in Python, SQL, Scala, or C#.\nExperience implementing data-security and access-control mechanisms.\nStrong knowledge of database-performance optimisation.\nProficiency in data-quality and governance frameworks.\nUnderstanding of batch and real-time processing architectures.\nCore Competencies\nDocumentation excellence: produces clear, thorough, and maintainable documentation.\nCommunication: clear, confident, and adaptable to diverse audiences.\nSecurity mindset: embeds data protection into every design decision.\nOptimisation focus: constantly seeks performance and cost improvements.\nMaintainability approach: builds systems designed for the long term.\nWillingness to travel for client implementations and support.\nWhy Join Us\nAt digital.enterprises, youll help build the data engine that transforms how energy ecosystems operate.\nYour work will empower people across plants, control rooms, and offices to make decisions in real time supported by data that is secure, trustworthy, and always available.\nThis is your opportunity to contribute to Industry 5.0 in action technology amplifying human capability to deliver safer, cleaner, and more reliable energy for 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