Build and maintain self-service, easy-to-use data models and tables in our BI tool so non-technical teams can explore data independently. Design and develop robust, documented ETL/ELT pipelines to ingest and transform data from product usage, marketing systems, invoicing and billing platforms, and revenue and subscription management systems. Own and evolve the semantic layer: define clear metrics and business definitions that teams trust.
Job listings
This is a high-impact opportunity to build scalable infrastructure that unifies data from multiple sources into a trusted, accessible foundation for the business. In the coming months, you'll focus on migrating pipelines to a modern architecture, improving data quality and governance, and enabling teams to better leverage data across our products. Weโre looking for an experienced engineer with strong hands-on expertise in tools like Snowflake, Airflow, Airbyte, and dbt.
Architect and scale the data foundation of a high-growth consumer app; every pipeline you build powers smarter decisions, personalized experiences, and stronger outcomes for our members. Youโre a data engineer who wants full ownership โ not just of pipelines, but of outcomes. You care deeply about clean data, fast queries, and high-leverage tooling, being the go-to expert for all things data at Ladder.
As a DataโฏEngineer on the EcosystemโฏAutomation 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.
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.
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.
The Senior Data Analyst will take ownership of business intelligence and analytics initiatives. This person will play a critical part in shaping the data culture of our company by defining core business metrics to enabling stakeholder insights through visualizations and deep-dive analyses. This person will work with stakeholders across the company, as well as the executive leadership team, to deliver highly visible analyses.
This is a hands-on technical leadership role to shape the future of Moonpay's data platform. As a Senior Data Engineer on the Data Platform team, you will design, build, and optimize the core infrastructure and services that empower developers and data users. You will also mentor other engineers on the team and improve the existing data platform codebase.
As a Senior Analytics Engineer at Bungie, you will be responsible for building and extending the data warehouse for our analytics platform, with a primary focus on Marathon. You will design and develop scalable data models that bridge the gap between raw data and business insights. You will work closely with analysts, data scientists, and game developers to understand their analytical needs and transform complex gaming data into accessible, reliable datasets.
Shape Finaloop's data infrastructure at the forefront of Fintech and AI. You'll join a high-impact R&D team in a fast-paced startup environment, building scalable pipelines and robust data systems that empower eCommerce businesses to make smarter decisions.