Remote Data Jobs · SQL

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 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.

As an Airtable’s Analytics Engineer, you will play a crucial role in shaping the future of Airtable by deepening our understanding of our product and partnering with Sales, Sales Ops, and engineers. Analytics Engineers build the data foundation for reporting, analysis and experimentation. Using SQL, DBT, and Looker, you will transform data from data warehouse tables into critical self-serve data artifacts that power impactful analytic use cases and empower data consumers.

This role involves driving technical vision and strategy for data infrastructure, building and maintaining sophisticated data pipelines, datasets, and analytical tools. Cross-functional initiatives to transform advertising products through data-driven insights are also a key part, with mentoring fellow engineers to deliver exceptional results.

The Data Analyst is a key member of the Marketing team, responsible for leveraging data to inform business decisions, optimize processes, and align organizational practices with strategic objectives. This role translates complex data into actionable insights, ensuring that marketing operations are efficient, scalable, and delivering measurable impact.

This role is responsible for maintaining and optimizing data projects to ensure high performance, reliability, and scalability. This role supports data services initiative by strengthening data-driven capabilities through the integration of reliable data sources and improved client engagement.

Help drive the design, build, and scale of our data infrastructure, being responsible for architecting and maintaining multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization. As a senior member of the Data Engineering team, deliver hands-on technical solutions, mentor junior engineers, guide best practices, and help shape the direction of our data engineering capabilities.

We are seeking a talented Junior Data Engineer to join our expanding engineering team with strong Python and SQL programming skills with a passion for transforming raw data into valuable insights for business use cases. This role focuses on client-facing responsibilities, collaborating closely with customer success, operations, and data scientists to deliver actionable data solutions.