{"id":2905932,"url":"https://alion.io/job/apertera-data-engineer-team-lead-apertera","title":"Data Engineer (Team Lead) - Apertera","company":{"id":1846221,"name":"Apertera","domain":"apertera.com","url":"https://alion.io/company/apertera","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Islamabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SOC 2","optional":false},{"name":"Streamlit","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Glue","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GDPR","optional":true},{"name":"ISO 27001","optional":true},{"name":"Milvus","optional":true},{"name":"Pinecone","optional":true},{"name":"Python","optional":true},{"name":"Qdrant","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-20T07:47:47Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T10:48:56Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Apertera\nApertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.\nFor more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.\nApertera is Canadian-owned, ISO 17100 and SOC 2 certified.\nOur core values:\nInnovation\nDedication\nFanatical commitment to quality and service\nResourcefulness\nCollaboration\nRole Overview\nAs the Data Engineering Team Lead, you will be the technical lead and people manager for a specialized team at the intersection of Big Data, Global Communications, and Generative AI. You will oversee the development of our enterprise Data Warehouse, ensuring that our language assets (TMs, Glossaries, and Metadata) are structured, searchable, and optimized for human translators, machine translation searches and machine learning models.\nBeyond traditional data engineering, you will collaborate with multiple teams on the design of the platform interface and the indexing strategies that power our next-generation localization workflows. Your unique value lies in bridging the gap between high-level data architecture, the nuanced translation domain, and the emerging requirements of Retrieval-Augmented Generation (RAG).\nKey Responsibilities\n1. Data Strategy & Warehousing\nArchitecture: Define the roadmap for our data warehouse, ensuring high availability and performance for massive multilingual datasets.\nData Cataloging & Governance: Implement robust cataloging solutions to ensure data lineage and \"discoverability\" across the organization.\nInterface Development: Lead the creation of a user-centric interface that allows stakeholders to interact with, query, and extract data from the platform.\n2. Translation & Localization Domain\nLinguistic Asset Management: Manage the lifecycle of Translation Memories (TMs) and Terminology Databases.\nSystems Expertise: Optimize integrations between our data platform and CAT tools and TMS systems (e.g., Phrase, Trados, MemoQ).\nDomain Integration: Ensure data pipelines respect the nuances of translation metadata, XLIFF structures, and regional variants.\n3. ML & GenAI Integration\nRAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search indexes to support Retrieval-Augmented Generation for automated translation and content creation.\nData Preparation for LLMs: Architect pipelines that clean, chunk, and format localization data for fine-tuning or prompting Large Language Models (LLMs).\nQuality & Evaluation: Support the implementation of automated quality estimation (QE) and LLM-based evaluation metrics for translated content.\n4. Leadership & Mentorship\nTeam Management: Lead a cross functional team of Linguists, Software Developers, Devops and Localization Engineers, providing technical guidance and mentorship.\nCross-functional Collaboration: Act as the liaison between Data, Localization, and AI/ML Research teams.\nRequired Qualifications\nExperience: 5+ years in Data Engineering, with at least 2 years in a leadership or senior capacity.\nTechnical Stack: Proficiency in SQL, Python, ETL Pipelines, and cloud data platforms (e.g., AWS S3 Data Lakes, AWS Athena, AWS Redshift, AWS Glue).\nAI/ML Fundamentals: Solid understanding of the GenAI lifecycle, specifically regarding how data is indexed for RAG (e.g., Pinecone, Milvus, or Qdrant).\nDomain Knowledge: Understanding of the localization industry, including experience with TMX, TBX, and CAT tool workflows.\nProduct Mindset: Experience building and deploying production ready internal tools or interfaces (e.g., Streamlit, React) to democratize data access.\nPreferred Skills\nFamiliarity with embedding models and semantic similarity scoring.\nKnowledge of Data Privacy (ISO 27001, GDPR) specifically regarding PII in linguistic datasets.\nBenefits & Perks You’ll Love:\nComprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being.\nYour Birthday Off: We celebrate your special day!\n6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments.\nWork-Ready Equipment: Get the tools you need to succeed, provided upon request.\nHybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility.\nLearning & Growth Opportunities: Training and resources tailored to your role and department.\nSupportive & Collaborative Team Culture: Work alongside team members who genuinely have your back\nTeam Recognition & Action Awards: Celebrate wins and contributions in meaningful ways.\nEmployee Referral Program: Earn 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