{"id":4005414,"url":"https://alion.io/job/ati-business-data-engineer","title":"Data Engineer","company":{"id":3824411,"name":"ATI Business","domain":"atibusinessgroup.com","url":"https://alion.io/company/atibusinessgroup","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jakarta, Indonesia"],"countries":["ID"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"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":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T06:39:06Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T17:24:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Are you passionate about building scalable data solutions and working with modern cloud technologies? Do you enjoy developing efficient data pipelines, optimising data workflows, and finding better ways to manage and process complex datasets?\nWe're looking for a Data Engineer to join ATI Business Group. In this role, you'll design, develop, and maintain our Global Supply data platform usingDatabricks and Microsoft Azure, building reliable data pipelines and reusable engineering frameworks to support efficient and well-governed data operations.\nWe're looking for someone with strong hands-on experience in Databricks, PySpark, SQL, and Azure data services, particularly in production environments, who is keen to contribute to the development and continuous improvement of modern data engineering solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines to ingest, transform, and process data from internal and external sources using Databricks and Medallion Architecture (Bronze, Silver, and Gold).\n\nBuild and manage data ingestion, storage, and orchestration workflows across cloud environments, preferably using Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS), and Delta Lake.\n\nDevelop and maintain production-ready ETL processes usingPySpark, Python, and SQL, ensuring data quality, reliability, and efficient processing.\n\nOptimise data pipelines, Spark workloads, and storage solutions to improve performance, scalability, and cost efficiency.\n\nDesign and develop reusable, metadata-driven engineering frameworks to standardise data ingestion, transformation, error handling, logging, and data quality processes.\n\nImplement and maintain CI/CD pipelines, version control, and automated deployment processes using Azure DevOps and Git.\n\nCollaborate with technical teams and stakeholders to understand data requirements, address engineering challenges, and continuously improve data platform capabilities.\n\nIs this you?\nBachelor's degree inComputer Science, Information Technology, Information Systems, Software Engineering, or a related technical field.\n\nAt least 3 years of relevant experience in Data Engineering, particularly in developing and maintaining production data pipelines.\n\nStrong, hands-on experience with Databricks, including Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog.\n\nExperience working with cloud platforms such as Microsoft Azure, AWS, or GCP, with Azure experience being highly preferred.\n\nFamiliarity with cloud-based data services and ETL tools, particularly Azure Data Factory (ADF) and Azure Data Lake Storage Gen2 (ADLS).\n\nStrong programming skills in Python and SQL, with the ability to develop, troubleshoot, and optimise data processing solutions.\n\nExperience with Git and CI/CD practices, including version control, branching strategies, and automated deployment of data solutions.\n\nGood understanding of data modelling, ETL/ELT processes, and Lakehouse architecture, including Medallion Architecture.\n\nExperience designing reusable, metadata-driven data engineering frameworks, with an understanding of modular development, testing, logging, and error handling, is a plus.\n\nFamiliarity withDatabricks Lakeflow, including Declarative Pipelines, Jobs, or Connect, is an advantage.\n\nExposure to Lakebase, Databricks Apps, or Genie (AI/BI), or an interest in exploring emerging Databricks technologies, is a plus.\n\nStrong analytical and problem-solving skills, attention to detail, and the ability to collaborate effectively with technical teams and stakeholders.","description_format":"text","description_chars":3557,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Travel Technology"],"lifecycle":[{"event":"open","at":"2026-11-10T06:49:02Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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