Support building robust pipelines and data models downstream of backend services (mostly in BigQuery) supporting internal reporting, machine learning, and financial use cases.
Optimize the Data Warehouse, spotting and raising opportunities to reduce complexity and cost.
Help define and manage best practices for the Data Warehouse, including payload design, logical modelling, metadata, and testing standards.
Serve as a data architect for Monzo’s Operations data, designing and scaling data models to measure product performance.
Build robust data models downstream of backend services in BigQuery to support reporting, machine learning, and regulatory use cases.
Lead the re-architecture of entire data domains across Operations, including workforce and customer demand data.
Monzo is a UK digital bank offering personal and business accounts, savings, investments, and pensions, with a mission to make money work for everyone. It has over 10 million customers in the UK, growing by 200,000 monthly, and fosters a culture of fairness, transparency, and data-driven decision making.
Own the transformation layer, including design, build, and maintenance of complex dbt models for internal and customer analytics.
Manage and monitor data ingestion pipelines to ensure high availability and low latency.
Optimise cloud data warehouse performance and build automated testing frameworks to proactively catch data issues.
i6 provides the world’s most advanced end-to-end aviation fuel management technology, enabling operational efficiency, transparency, and sustainability for airlines and fuel suppliers. They are a remote-first company with offices in the UK and recently raised Series B funding.
Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.
Build and maintain an internal Data warehouse that aggregates and organizes data from various source systems.
Build dynamic reports to facilitate complex business analyses and enable business users to answer their most important data-driven questions.
Help communicate across different business groups in order to bring a source of truth to data.
Revinate is a direct booking platform that leads the hospitality industry in driving direct revenue and increased profitability. With their products and people, they give hoteliers the superpowers they need to crush their goals, shifting share away from OTAs and driving tangible results. They power 1.1 billion Rich Guest Profiles across 12,500+ hotels to drive over $24 billion in direct revenue.
Build and maintain dbt models and core datasets supporting Accounting reporting and downstream automation.
Improve platform reliability through testing patterns, alerting, and runbooks.
Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is remote-first with a focus on people-centric culture and competitive benefits.
Generate insights that drive strategic direction through proactive analysis.
Bring data-driven rigor to product development and structure complex projects.
Create metrics to understand user behavior and drive product decisions.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and pensions. With over 12 million customers in the UK and a strong culture of data-driven decision making, they have built a product that people love, with over 80% of growth coming from word of mouth and referrals.
Build upon and scale our current data infrastructure to meet evolving business needs and capture critical business logic.
Work closely with the Senior Analytics Engineering Manager to create and improve data models and development environments.
Contribute expertise and promote best analytics engineering practices through collaboration with other data teams and stakeholders.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, with brands like GOAT, Flight Club, and Grailed. They have a global community of over 60 million members across 170 countries, offering a wide range of styles through digital platforms and retail locations.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Build and maintain analytical tooling and data infrastructure for Reddit's Large Customer Sales channel using BigQuery and SQL.
Drive sales rigor and optimize performance by translating complex data insights into actionable business strategies.
Partner with cross-functional teams including Sales, Finance, and Data Science to shape revenue strategy and build AI-ready data foundations.
Reddit is a community of communities, built on shared interests and authentic conversations. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest information sources, fostering an open and passionate culture.
Architect and lead the design of data systems serving both operational business stakeholders and product/engineering teams.
Extend internal AI platform and bring software engineering rigor to data work including testing, CI/CD, and code review.
Build and own data models, partner with product engineering, and mentor teammates to raise the technical bar.
ZipRecruiter is a leading online employment marketplace powered by AI-driven intelligent matching technology. The company has the #1 rated job search app on iOS & Android and connects job seekers with millions of businesses.
Design and build critical data infrastructure to onboard a new marketing mix modeling and incrementality testing vendor.
Translate external vendor schema into a production-ready data mart, bridging internal DTC data with external ingestion.
Manage full merge request workflow using GitLab, adhering to strict peer review processes before deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. The team of 600+ highly skilled tech professionals based in Latin America drives digital disruption by partnering with U.S. companies on impactful projects.
Architect and build the semantic layer powering AI-driven analytics.
Design, build, and refactor DBT models to maintain a trustworthy source of truth for enterprise KPIs.
Bring data to life with compelling presentations and reports that drive key decisions and actions.
Roofr is focused on providing their customers with the tools that they need. They have built a CRM that connects solutions such as payments, material ordering, and more into a platform.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data.
Collaborate with stakeholders to design scalable solutions and manage internal data pipelines.
Define data governance policies and leverage AI tools to streamline data pipeline development.
For over four decades, PAR Technology Corporation has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. With over 100,000 restaurants in more than 110 countries, we embrace a 'Better Together' ethos and offer comprehensive software and hardware solutions.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Analyze and interpret complex data sets from blockchain transactions, financial markets, and customer data using statistical techniques and visualization tools.
Develop and optimize SQL queries for columnar databases to ensure data accuracy and efficiency.
Collaborate with cross-functional teams to translate data insights into actionable recommendations and drive data-driven strategies.
Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. With over 350 professionals working remotely across multiple countries, we were recognized as Best Corporate Culture in the Blockchain Industry in Europe in 2026.
Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
Collaborate with data engineers, analysts, and clients on end-to-end data requirements and project delivery.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. Our culture is built on a foundation of trust, collaboration, and continued improvement, and we are a remote first company that offers competitive pay and excellent benefits.
Deliver high impact code to create pipelines, visualizations, and dashboards that enable informed decision-making at scale.
Operate as a senior technical expert in data and analytics engineering, leading architecture discussions and implementing robust, scalable data models.
Collaborate cross-functionally with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho, taking a science-based approach to help parents give their children meaningful development experiences. Named one of Fast Company's 10 most innovative companies of 2024, Lovevery has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
Own dbt and the semantic layer that defines how Fora measures its business in code.
Partner closely with the VP of Data & AI, Data Engineering, and Risk & Analytics.
Shape how a $4B+ originator understands its business through data modeling decisions.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. The company has grown to nearly 200 employees and values a collaborative, partner-centric culture.
Own end-to-end analytics initiatives from stakeholder discovery through implementation, validation, automation, and business adoption.
Design, write, optimize, and validate advanced SQL queries against large-scale enterprise datasets.
Apply AI and automation to improve BI workflows, including natural language-to-SQL, BI copilots, and automated insight generation.
Yuxi Global is a technology consulting and software development company delivering innovative solutions for business success. Their culture values innovation, accountability, collaboration, and continuous learning, creating opportunities for talented professionals to make a meaningful impact.