{"id":3062241,"url":"https://alion.io/job/unisongroup-data-engineering-manager-big-data","title":"Data Engineering Manager - Big Data","company":{"id":448684,"name":"Unison 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Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T06:55:46Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T07:24:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Location: Singapore\nExperience: 10+ years in Data Engineering, including hands-on Big Data expertise and team management\nDomain: Banking / Financial Services preferred\nKey Responsibilities\nLead and manage data engineering teams to design, develop, and deliver scalable enterprise data platforms and pipelines.\nMaintain strong hands-on expertise in Big Data technologies such as Hadoop, Spark, PySpark, Hive, Kafka, and distributed data processing.\nDesign and implement robust ETL/ELT pipelines, data ingestion frameworks, data transformation, and data integration solutions.\nDrive data engineering architecture, technical design, performance tuning, and optimization of large-scale data processing workloads.\nManage data lake, data warehouse, and modern cloud-based data platform implementations.\nWork with cloud platforms such as AWS, Azure, or GCP and technologies such as Databricks, where applicable.\nLead data quality, data governance, metadata management, security, and data reliability initiatives.\nCollaborate with solution architects, data architects, business stakeholders, and project managers to translate business requirements into technical solutions.\nManage project delivery, resource allocation, technical reviews, risk mitigation, and delivery timelines.\nMentor engineers, establish engineering best practices, and ensure high-quality, maintainable, and production-ready code.\nRequired Skills and Experience\n10+ years of experience in data engineering, Big Data development, and enterprise data platforms.\nProven hands-on experience in Big Data technologies, with the ability to guide teams technically and troubleshoot complex engineering challenges.\nStrong proficiency in Python, PySpark, SQL, and distributed data processing frameworks.\nExperience building and managing complex data pipelines, ETL/ELT workflows, and large-scale data processing solutions.\nDemonstrated experience leading data engineering teams, managing deliverables, and driving technical execution.\nStrong understanding of data modelling, data architecture, performance optimization, and data platform scalability.\nExperience with cloud-based data engineering and modern data platforms is highly desirable.\nExcellent stakeholder management, communication, problem-solving, and leadership skills.\nPreferred: Experience in banking, financial services, regulatory reporting, risk analytics, or other data-intensive enterprise environments.\nIdeal Candidate: A technically strong Data Engineering Manager who combines practical Big Data development experience with proven people leadership, solution delivery, and the ability to guide engineers through complex data engineering challenges.","description_format":"text","description_chars":2673,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-22T06:55:46Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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