Data Engineer - Ref: 196892

Title: Data Engineer Industry: Consumer Technology Location: New York City, Hybrid Type: Contract Hourly Rate: Competitive Unfortunately at this time we cant accept candidates who are on or seeking a Visa/Sponsorship. A leading consumer technology business is looking for a Data Engineer to join its growing data and AI function in New York City. This is a great opportunity for someone who enjoys building scalable data platforms, working closely with data science and product teams, and helping turn AI use cases into real business outcomes. The business is investing heavily in its data infrastructure and AI capability, with projects across customer intelligence, personalization, product performance, automation and decisioning. You will be responsible for building and improving the data pipelines, platforms and tooling that support analytics, machine learning and AI initiatives across the business. Key responsibilities include: • Designing, building and maintaining scalable data pipelines and data models • Working closely with data science, analytics, product and engineering teams • Supporting AI and machine learning use cases through clean, reliable and accessible data • Building infrastructure for experimentation, model deployment and production analytics • Improving data quality, governance, performance and reliability across the data environment • Integrating structured and unstructured data from multiple internal and external sources • Helping modernize the company’s data stack and improve engineering best practice • Translating business requirements into practical data solutions Requirements: • Strong experience as a Data Engineer, Analytics Engineer or similar • Strong Python and SQL skills • Experience building data pipelines and working with modern cloud data platforms • Exposure to tools such as Snowflake, Databricks, dbt, Airflow, Spark, Kafka or similar • Experience supporting AI, machine learning or data science teams • Understanding of data modelling, data quality, orchestration and platform reliability • Experience working in a product-led, consumer, ecommerce, marketplace, SaaS or technology environment would be beneficial • Comfortable working with cross-functional teams across product, engineering, analytics and commercial stakeholders • Strong communication skills and the ability to explain technical work in a clear, practical way