{"id":996305,"url":"https://alion.io/job/iplschoeller-data-engineer-microsoft-data-platform","title":"Data Engineer, Microsoft Data Platform","company":{"id":717485,"name":"IPL Schoeller","domain":"iplschoeller.com","url":"https://alion.io/company/iplschoeller","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":77,"open_postings":13,"ghost_share":0,"stale_share":0.923,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","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":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":144000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-07-28T11:39:20Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-11-05T18:08:48Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"Who We Are\nOn July 1, 2025, IPL Plastics merged with Schoeller Allibert to form IPL Schoeller (the ‘company’). The Company’s operations are split across North America (11 manufacturing plants) and Europe (16 manufacturing plants).\nThe company is headquartered in Dublin, Ireland. IPL Schoeller is a leading manufacturer of sustainable rigid packaging solutions across a range of end market segments including returnable transit packaging, consumer and industrial packaging, environmental containers and agricultural packaging. The company employs c.4,100 employees across North America (1,600 employees) and Europe (2,500 employees.)\nThe role\nAs a Data Engineer, you will strengthen IPL Schoeller’s internal data engineering capability as the BI and data function continues to move from traditional report development towards governed enterprise data platforms. The role is focused on building reliable, scalable and well documented data assets that support Microsoft Fabric adoption, enterprise analytics and operational reporting.\n\nAct as a hands-on mid-level data engineer within the BI and Data team, with primary focus on data pipelines, SQL transformation logic, data modelling and platform reliability.\n\nDesign, build and maintain batch and near real-time data pipelines using Microsoft Fabric, Synapse, Azure Data Factory or similar Microsoft data platform technologies.\n\nDevelop, optimise and support SQL based transformations, ingestion routines, stored procedures and curated data structures across structured and semi-structured data sources.\n\nBuild and maintain lakehouse, warehouse and staged data architectures that support reusable enterprise datasets, semantic models, dashboards and downstream operational use cases.\n\nApply sound data modelling practices, including dimensional modelling, source-to-target mapping and calculation logic aligned to reporting and analytical requirements.\n\nIntegrate data from ERP, finance, operational systems, APIs, files and external platforms into governed enterprise data assets.\n\nImplement data quality checks, reconciliation controls and monitoring routines to improve accuracy, trust and repeatability across data pipelines and reporting outputs.\n\nMonitor pipeline runs, investigate failures and troubleshoot performance issues across ingestion, transformation, storage and refresh layers.\n\nSupport optimisation of query performance, data refresh strategies, partitioning and processing efficiency as the Microsoft Fabric platform becomes embedded across the business.\n\nWorking with the BI Manager, assist in the development of semantic models and BI report builds as required, while recognising that BI report development is a supporting activity rather than the primary function of the role.\n\nContribute to development standards, documentation, release management, version control and structured ways of working across the BI and Data team\n\nSupport security, governance and access controls across the data platform in line with internal IT and data governance standards.\n\nParticipate in continuous improvement initiatives to reduce manual data handling, improve platform resilience and support a stronger data engineering capability in the organisation.\n\nWhat you will bring to the role:\nBachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline\n\nEquivalent experience in data engineering, ETL/ELT development, or cloud data platform delivery will be highly advantageous\n\nMaster’s degree desirable.\n\n5+ years of experience in data engineering, database development, analytics engineering, or similar data platform roles.\n\nHands-on experience with SQL and building data pipelines in Microsoft-centric platforms, including Microsoft Fabric, Azure Synapse, Azure Data Factory, or other related technologies.\n\nExperience working with data modelling, data warehousing, and integrating multiple source systems.\n\nExperience working with Power BI or Tableau for downstream analytics and reporting consumption.\n\nExperience working across cross-functional teams in a global or matrix organisation is advantageous\n\nIf you have the above experience and are looking for a role where you can make a real difference, apply today to find out more!","description_format":"text","description_chars":4241,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Packaging & Labeling","Packaging 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