This role is responsible for the design, implementation and optimization of client-facing data products and the technology infrastructure that underpins them. Data engineers work closely with Product Managers, Software Engineers and other stakeholders to provide compelling and engaging data products that serve the needs of the clients. This position requires someone who has highly developed analytical and problem-solving skills, attention to detail, embodies our values and culture, and is passionate about delivering the best software to users.
Role Description: Design and implement data pipelines to transform and enrich trading and market data into valuable assets. Design data schemas to enable new products and integrations. Use rapid prototyping and user feedback to validate solutions. Scale data products and integrate them into larger technology ecosystems. Understand data governance and privacy requirements and utilize tools and techniques to meet compliance requirements. Build and monitor validation tooling to ensure security and governance policies do not fail Establish and maintain de-identification methodologies and controls to ensure that we use data in a compliant manner. Implement and automate data handling operations for the data lifecycle. Continued awareness of best practice data engineering standards that uplift and simplify product delivery. Clearly present findings, methodologies, and recommendations to technical and non-technical stakeholders. As part of a team, participate and collaborate to understand client pain points, analyze solutions, and continuously improve the products to deliver market leading products with a delightful user experience. Essential Skills: Multi-year industry experience developing client-facing data products in a serverless data platform (AWS or Azure). Experience designing and building data lakes and lakehouses using Databricks, Snowflake or Glue/Spark Experience building/operating highly available, distributed systems for extraction, ingestion, and processing of large data sets. Expert in the architecture of data warehousing solutions for the enterprise using cloud technologies. Familiarity with multiple common databases such as MySQL, PostgreSQL and AWS DynamoDB. Experience consuming data from streaming platforms eg: Apache Kafka . Multi-year industry experience with React , Python, and SQL (or equivalent languages). Experience in collaborative coding and working in co-located or remote team structures. Experience mentoring less-experienced engineers while actively learning and engaging with mor experienced technologists. Experience in driving software quality by utilising the test pyramid. Has a growth mindset and excitement about tackling the next challenge with a team, understands that growth comes from continuously developing through hard work Degree in Computer Science, Engineering, Mathematics, or a related field or at least 5 years industry experience. Working Hours: Morning Shift, 7AM - 4PM (Monday - Friday)
Package and Benefits: Highly competitive salary + benefits including HMO with 2 free dependents. Role is available for remote setup with all hardware and tools provided.
Interested applicants may directly apply here or send their CVs at [HIDDEN TEXT].
