Remote Data Jobs • AWS

As a Data Engineer on the Ecosystem Automation team, you will build AI-first data pipelines to power our internal metric monitoring and workflow automation platform. The infrastructure you build will underpin this system, utilizing agents or other GenAI tools where required to perform a wide range of workflows across the organisation. You will build an organisation-wide data store, index and expose the data, and build infrastructure to power the context engineering solution that agents rely on.

As a Bioinformatics Support Engineer, you'll become a trusted technical partner to researchers working on some of the most pressing problems in health and life sciences. You'll gain first-hand exposure to the inner workings of production-scale bioinformatics pipelines, cloud and HPC environments, and cutting-edge tools like Nextflow.

As a Senior Solutions Architect, shape the future of Data & AI by working with sophisticated data engineering and data science teams. Partner with the sales team and provide technical leadership, helping customers understand how Databricks can solve their business problems. Consult on Big Data architectures and implement proof of concepts for strategic projects.

Design scalable software systems with a focus on quality, performance, and maintainability. Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards. Collaborate with Research Leads and Product Owners to gather requirements, design ML pipelines and coordinate the software delivery.

We are hiring a highly skilled Data Analyst for one of our clients, to support their business intelligence efforts. The ideal candidate is passionate about working with data, has solid experience in Python and AWS, and can turn raw data into actionable insights. Familiarity with Docker and affiliate marketing is a plus but not required.

The Data Engineer will focus on providing accurate and consistent data for analysis, working with bespoke tools designed for data capture and processing that data into a state-of-the-art Data Warehouse, primarily using Python and AWS Technologies. Responsibilities include designing, developing, maintaining, and documenting Python based data processing and ETL jobs, ensuring data is complete and accurate and that failures are minimised and resolved efficiently.

A pivotal member of our data services team, responsible for developing the data streaming platform, the common event bus as well as a number of other critical services to meet the data needs for our domain teams. We are looking for an engineer who is not just technically strong, but a collaborative problem-solver who actively contributes new ideas, flags inefficiencies, and is passionate about continuous improvement for themselves and their team.

We are building a modern data stack to empower data-driven decision-making across our engineering, finance, marketing, sales, product, and operations teams. You will take a leading role in designing, building, and scaling our core data infrastructure. This is a high-impact position with significant ownership, giving you the autonomy to influence our technical architecture, define best practices, and create a robust data platform that directly accelerates Swan's growth.

The Manager of Data Engineering will lead a team of talented data engineers, overseeing the design, development, and maintenance of our foundational data capabilities, architecture, and infrastructure. This role is crucial for building robust, scalable data pipelines and platforms that support advanced analytics and business intelligence, ensuring our data systems are efficient, reliable, and aligned with organizational goals.

Join us in leading the change! The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure that support our organization's analytical and operational needs. You will work under the guidance of the Principal Data Engineer to implement efficient data solutions while ensuring data quality, reliability, and accessibility.