Data Engineer (Team Lead)

Apertera • Montreal, QC

1d • Hybrid

About The Position

Apertera 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. For 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. Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

As 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. Beyond 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).

Requirements

• 5+ years in Data Engineering, with at least 2 years in a leadership or senior capacity.
• Proficiency in SQL, Python, ETL Pipelines, and cloud data platforms (e.g., AWS S3 Data Lakes, AWS Athena, AWS Redshift, AWS Glue).
• Solid understanding of the GenAI lifecycle, specifically regarding how data is indexed for RAG (e.g., Pinecone, Milvus, or Qdrant).
• Understanding of the localization industry, including experience with TMX, TBX, and CAT tool workflows.
• Experience building and deploying production ready internal tools or interfaces (e.g., Streamlit, React) to democratize data access.

Nice To Haves

• Familiarity with embedding models and semantic similarity scoring.
• Knowledge of Data Privacy (ISO 27001, GDPR) specifically regarding PII in linguistic datasets.

Responsibilities

• Define the roadmap for our data warehouse, ensuring high availability and performance for massive multilingual datasets.
• Implement robust cataloging solutions to ensure data lineage and "discoverability" across the organization.
• Lead the creation of a user-centric interface that allows stakeholders to interact with, query, and extract data from the platform.
• Manage the lifecycle of Translation Memories (TMs) and Terminology Databases.
• Optimize integrations between our data platform and CAT tools and TMS systems (e.g., Phrase, Trados, MemoQ).
• Ensure data pipelines respect the nuances of translation metadata, XLIFF structures, and regional variants.
• Oversee the creation and maintenance of Vector Databases and semantic search indexes to support Retrieval-Augmented Generation for automated translation and content creation.
• Architect pipelines that clean, chunk, and format localization data for fine-tuning or prompting Large Language Models (LLMs).
• Support the implementation of automated quality estimation (QE) and LLM-based evaluation metrics for translated content.
• Lead a cross functional team of Linguists, Software Developers, Devops and Localization Engineers, providing technical guidance and mentorship.
• Act as the liaison between Data, Localization, and AI/ML Research teams.

Benefits

• Comprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being.
• Your Birthday Off: We celebrate your special day!
• 6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments.
• Work-Ready Equipment: Get the tools you need to succeed, provided upon request.
• Hybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility.
• Learning & Growth Opportunities: Training and resources tailored to your role and department.
• Supportive & Collaborative Team Culture: Work alongside team members who genuinely have your back
• Team Recognition & Action Awards: Celebrate wins and contributions in meaningful ways.
• Employee Referral Program: Earn rewards for bringing amazing talent to our team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed