Remote Data Jobs · Airflow

Lead the redesign of a data platform to support high-volume analytics and faster BI. Define the target architecture, resolve ingestion challenges, implement modern data pipelines, and optimise database performance for advanced analytics use cases.

Own the data infrastructure and unlock insights to drive decision making at Smalls. You will be a key partner to multiple departments within our organization - designing analytics frameworks, improving data quality, and increasing access to data and analysis tools to power both strategy and execution. You will own the data infrastructure fully from ideation through delivery, including scoping, building, and documenting methodologies, to ensure repeatability and clarity.

Transform terabytes of data into actionable insights as an Analytics Engineer on Kraken's Data Platform team, enabling us to stay ahead in the ever-evolving cryptocurrency landscape. You’ll work on Finance data, building data products for various Finance and analytics teams, and that’s where your Finance background and expertise, alongside with Analytics Engineering skills will help us succeed!

As a Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements; the ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & eSports.

We are looking for a Senior Data Engineer to join our team to help us power up the traveller's journey for millions of holidaymakers. If you are passionate about using data to improve business performance and enjoy challenging projects, you might be the perfect fit for this job.

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.

As a Business Intelligence (BI) Data Engineer, you will act as the bridge between our complex data and our business domains. You will be responsible for empowering teams with accurate, reliable, and insightful analytical datasets that drive critical business decisions. This is an exciting opportunity for a proactive individual who is eager to work with a modern data stack.

As the foundational Data Engineer for HTS Media, you will own the data infrastructure that powers entire advertising business. Mission is to build a robust, scalable data foundation from the ground up that transforms this raw data into the trusted, high-quality datasets that power advertiser-facing reporting and enable future ML models. You will be responsible for the full lifecycle of data, from building real-time data pipelines to modeling data in our warehouse for analytics and reporting.

Shape the future of AI in influencer marketing. You will build from scratch and improve existing code. Requires expertise in data modeling and warehousing, including dimensional modeling and performance tuning. Design and operate ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations.

Analyze large, complex datasets (on-chain and off-chain) to derive strategic and product insights. Develop models and dashboards to monitor validator performance, user behavior, and protocol performance. Investigate network economics, user incentives, and staking flows to support growth strategies, research new revenue opportunities. Conduct exploratory and root-cause analysis of ecosystem or performance changes. Build data tools and reporting frameworks to scale internal decision-making. Present insights and data stories clearly to technical and non-technical audiences.