Remote Data Jobs • Data Modeling

The Data Engineer will play a crucial role in the design, development, and maintenance of the organization’s data architecture, constructing, testing, and maintaining scalable data architecture and infrastructure to meet the business’ growing data needs. The Data Engineer shall also implement methods to improve data quality and reliability while ensuring high levels of availability.

Monarch is looking for a Data Analyst to support our growth & marketing teams and to enable data-driven decision making by building timely and accurate dashboards and reports, diving deep into campaign performance, and contributing to our data infrastructure. The candidate should thrive in a fast-paced environment, be comfortable in ambiguous situations, and can build something new when what is needed doesn’t already exist.

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. This role supports the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases, while focusing on optimisation of our Data Warehouse.

Advance clinical AI by building scalable pipelines and infrastructure for data ingestion, processing, and analysis. Integrate and standardize diverse healthcare data (clinical, coding, billing) and design resilient, fault-tolerant frameworks and data models leveraging AWS (S3, Lambda, Step Functions, Batch). This role spans the full data lifecycle, shaping the foundation for next-generation clinical AI solutions.

Seeking an experienced Data Engineer to assist with the migration of our Energy Portfolio data from a legacy application to Gentrack Junifer. This contract role involves designing and building scalable data pipelines, data modeling, and collaborating with stakeholders to build analytics solutions. The role delivers progress by improving data and reducing complexity.

Join Next Generation, Inc as an Oracle Cloud Analytics Reporting Lead. Lead the design, development, and deployment of Oracle Cloud Analytics and OTBI reports. Collaborate with business stakeholders to gather and analyze reporting requirements. Develop dashboards and visualizations using OTBI, BI Publisher, and Oracle Analytics Cloud (OAC). Ensure data accuracy, consistency, and performance across reporting solutions. Provide technical guidance and mentorship to junior reporting analysts.

Lead a team to build cutting-edge machine learning models for acquisition credit strategies and credit management programs. Apply your knowledge in data, modeling, and analytical expertise to drive the growth of the business. Collaborate with cross-functional teams to manage the entire modeling cycle including model design, development, evaluation, validation, and performance tracking.

The Director of Business Intelligence (BI) will lead the development and execution of the company’s BI strategy, driving data-driven decision-making across all business units. This role will oversee the design, implementation, and optimization of BI systems, processes, and teams to deliver actionable insights that align with organizational goals. The Director will collaborate with cross-functional leadership to enhance strategic planning, operational efficiency, and market competitiveness.

We’re looking for an experienced Snowflake Data Architect to lead the strategic development of our enterprise data platform. This role will guide the evolution of our Snowflake environment by setting architectural standards, optimizing cost and performance, and partnering across teams to enable scalable analytics.

This role is ideal for someone who thrives at the intersection of data management and business intelligence, helping organizations build reliable, traceable, and governed data pipelines that support impactful analytics. You'll help lay the groundwork for scalable, enterprise-wide reporting by partnering with data owners, stewards, and business users. You'll focus on the foundational work required before visualization —ensuring clarity, consistency, and trust in the data.