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Senior Data Engineering Lead
3 months ago
Informa Group Plc is a prominent provider of data, technology, and insights that empower financial institutions to enhance their decision-making processes, driving profitability through data-driven strategies. With a strong foundation built from the merger of established industry leaders, Informa delivers unparalleled expertise across various domains, including deposits, lending, and digital experience solutions.
This role operates under a hybrid work model. The position is located in the Toronto metropolitan area.
Position OverviewWe are currently looking for a Senior Data Engineering Lead to become a vital part of our Data & AI Platforms division. This team is responsible for the shared data and generative AI ecosystems that underpin our B2B SaaS offerings. As a company focused on data-driven insights, the reliability, scalability, and efficiency of our data and AI platforms are essential to our product success.
Key Responsibilities:
- Architect and develop data platform capabilities to ensure scalable and dependable data ingestion, storage, validation, governance, monitoring, observability, ELT methodologies, and more.
- Design and implement AI platform features to facilitate the effective development of production-grade multimodal generative AI applications, including tools for accuracy, evaluation, and safety measures.
- Exhibit comprehensive ownership of projects from inception to completion, including the execution of well-structured proof of concept strategies.
- Convert high-level directives into actionable project plans, guiding fellow engineers in completing specific tasks as part of the overall workflow.
- Apply software, data, and ML/AI engineering best practices, encompassing the software development lifecycle, testing, scaling, performance enhancement, and more.
- Collaborate with Product and Engineering teams to comprehend the priorities and requirements of various departments within Informa.
- Document essential platform methodologies and frameworks for organization-wide use.
- Proactively discover and integrate new technologies and tools to boost efficiency and productivity.
- Conduct code evaluations and provide constructive feedback to support team members.
- Assist product teams in utilizing platform tools and frameworks effectively.
Preferred Skills and Experience:
- Advanced proficiency in Python and SQL.
- Familiarity with Java or Scala is advantageous.
- Experience with Spark is essential.
- Knowledge of generative AI (LLMs, RAG, AI agents) is preferred.
- Experience in MLOps is a plus.
- Expertise in data engineering best practices, including ETL/ELT, data monitoring, observability, and validation.
- Experience handling big data, including scaling data processing and distributed computing.
- Background in production support.
- A minimum of 4 years of professional experience; 6+ years is preferred.
- Self-motivated with a desire to learn new skills, tools, and technologies.
- Strong verbal and written communication abilities.
- Comprehensive benefits package, including a variety of financial, health, and lifestyle options.
- Flexible working arrangements, including remote work, flexible hours, and part-time options based on role requirements.
- Generous annual leave, floating holidays, volunteering days, and a day off for your birthday.
- Access to learning and development resources to support your career growth.
- Collaborate with industry-leading experts and specialized products.
- Participate in regular social events and networking opportunities.
- Experience a collaborative and supportive culture, including an active diversity, equity, and inclusion program.
- Utilize the Employee Assistance Program for expert advice on well-being, relationships, legal, and financial matters, along with access to counseling services.
Inclusivity at Informa:
We are committed to fostering a diverse and inclusive environment where all employees can thrive. Informa is proud to be an Equal Opportunity Employer, and we do not discriminate based on race, color, ancestry, national origin, religion, disability, medical condition, genetic information, sex, sexual orientation, gender identity, age, marital status, military status, citizenship, or any other protected characteristic.
