Remote Data Jobs

Design, implement, and maintain optimal database schemas for relational (MariaDB) and NoSQL (MongoDB) databases. Monitor and tune performance across all platforms to ensure optimal performance. Implement access controls, encryption, and database hardening techniques. Support and optimize ETL pipelines between MongoDB, MariaDB, and Databricks. Troubleshoot incidents, resolve outages, and perform root cause analysis.

We’re looking for a Data Engineer to lead the integration of a React/Java application with Monday.com, ensuring smooth, reliable, and secure data synchronization between systems. The ideal candidate will architect scalable data flows, design synchronization strategies, and work closely with developers to deliver high-quality, maintainable solutions.

We are seeking a skilled and motivated Artificial Intelligence Engineer to join our team. This role offers the opportunity to design, build, and deploy advanced artificial intelligence solutions across a variety of projects. You will work with large datasets, machine learning models, and cloud technologies to deliver innovative, high-impact results.

Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward. This role provides insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure. You'll take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.

The Data Platform Engineering team is building the foundation for a best-in-class decision engine—empowering data scientists, machine learning engineers, and analytics teams to deliver insights and intelligence at scale. As a Data Platform Engineer, you’ll design, build, and evolve the infrastructure and tooling that enable our internal teams to move fast, work efficiently, and make data-driven decisions.

The Analytics Engineer II is responsible for building, maintaining, and optimizing data pipelines, models, and analytics frameworks that enable data-driven insights and strategic decision-making. This role will focus on integrating and analyzing key operational and customer experience data from Salesforce (SF), survey platforms, communication tools and Learning Management Systems (LMS). The Analytics Engineer II will work across medium-complexity data sets that support singular product lines.

Fetch is looking for a Senior Data Scientist to develop and scale its data science capabilities. This role involves architecting and operationalizing production-ready models that influence Fetch’s product strategy, personalization systems, and business outcomes. The role requires partnering cross-functionally with Product, Engineering, Marketing, and Data Product teams to transform complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making.

This role will act as the voice of data across tem, acting in a principle capacity without being weighed down by management. Partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision-making. From analysing feature impact, to sizing new commercial opportunities, to understanding churn and broker performance, your work will shape the future of the product and business.

Capture, analyze, and document business reporting and analytics requirements across multiple teams. Identify, evaluate, and catalog data sources; determine which are impacted or replaced by Oracle implementation. Design and oversee custom reporting and visualization solutions. Develop and maintain a prioritized backlog of data and reporting deliverables using Jira. Partner with IT and consultants to improve data models and establish metadata governance processes.

You’ll lead a high-caliber team building and operating large-scale, production AI systems that power critical business functions, acting as a player-coach who pairs deep technical execution with ownership of strategy, architecture, and standards. You’ll work directly with the Chief Data Officer and senior leadership at one of the most advanced organizations applying AI to consumer lending.