Design, implement, and maintain scalable, high-performance data architectures connecting relational and non-relational systems.
Manage end-to-end data pipelines, ensuring seamless ingestion from scrapers to AI/ML workflows.
Audit and optimize existing workflows for efficiency, accuracy, and flexibility.
Jobgether is a pioneering HR Tech startup, operating entirely remotely, and leading the revolution in the world of work. As the largest job search engine designed exclusively for remote workers, its mission is to empower individuals to discover opportunities that align seamlessly with their unique lifestyles.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Design, implement, and maintain robust, scalable data pipelines to support AI, analytics, and operational reporting
Own and evolve the data warehouse architecture, ensuring it meets performance, flexibility, and governance needs
Ensure data integrity, availability, lineage, and observability across complex pipelines
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to compliantly hire anyone anywhere at the push of a button. They are a growing, international family.
Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
Coach & mentor other engineers to support the growth of their technical expertise.
Implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
YLD is a software engineering and design consultancy that creates digital capabilities for their clients. The company has offices in London, Lisbon, and Porto and aims to attract, inspire, develop, and retain extraordinary people.
Own the delivery of scalable internal data solutions.
Translate business needs into clear technical designs and working systems.
Build and improve data pipelines, integrations, and automation.
Transparent Hiring is recruiting for a fast-growing reinsurance company operating across Germany and the United States. The environment is collaborative and driven by a strong “build and ship” mindset.
Build and maintain robust data pipelines processing large volumes of data
Update and optimise our data platform for speed, scalability and cost
Develop processes and tools to monitor and analyse model performance and data accuracy
Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. They processed $182 billion in 2023 and are Nigeria’s largest merchant acquirer, cultivating a culture of innovation, teamwork, and growth.
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
Garner Health strives to transform the healthcare economy, delivering accessible, high-quality healthcare. They are a fast-growing healthcare technology company dedicated to making a meaningful impact on healthcare at scale with a team of talented, mission-driven individuals.
Design and build mission critical data pipelines with a highly scalable distributed architecture.
Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders.
Build and support reusable framework to ingest, integration and provision data
StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. They employ 1,000 people across offices and verification centers around the world and their platform connects buyers and sellers using dynamic pricing mechanics.
Own the architecture and delivery of scalable internal solutions.
Translate business needs into clear technical designs and working systems.
Build and improve data pipelines, integrations, and automation.
Transparent Hiring is recruiting for a fast-growing reinsurance company operating across Germany and the United States. The environment is collaborative and hands-on, driven by a strong “build and ship” mindset.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
Identify structural weaknesses and eliminate operational fragility.
Define clear ingestion, validation, and testing standards across the platform.
Drive ambiguous initiatives from concept to production-ready outcomes.
Life360's mission is to keep people close to the ones they love. By continuing to innovate and deliver for our customers, they have become a household name and the must-have mobile-based membership for families. Life360 has more than 500 (and growing!) remote-first employees.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
Gopuff is reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. They are assembling a team of thinkers, dreamers and risk-takers who know the value of peace of mind in an unpredictable world.
Design, develop, and maintain scalable data pipelines using cloud data services.
Serve as a technical leader, defining data engineering standards and best practices.
Lead the design and implementation of optimized data models in our cloud data warehouse.
Constant Contact empowers people by giving them the help and tools they need to grow online. They are energized by new challenges and possibilities, and they celebrate diversity and inclusion with programs in place to bring people together.
Design, build, and maintain robust and scalable data pipelines.
Leverage the Microsoft Fabric ecosystem to unify data storage and analytics.
Architect and maintain automated CI/CD pipelines using Azure DevOps.
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. They are a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology.
Architect, develop, and deploy robust, scalable data solutions using Azure tools.
Design and optimize ETL/ELT data pipelines using Python, PySpark, and SQL.
Build and manage modern data architectures, including data lakes and warehouses.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, implement, and maintain scalable, high-performance data architectures connecting relational and non-relational systems.
Manage end-to-end data pipelines, ensuring seamless ingestion from scrapers to AI/ML workflows.
Audit and optimize existing workflows for efficiency, accuracy, and flexibility.
Jobgether is a pioneering HR Tech startup operating entirely remotely, and leading the revolution in the world of work. They are a job search engine designed exclusively for remote workers, with a team of 30 individuals located across the globe.
Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology.
Develop and manage robust data integrations with external vendors and organizations (including complex API integrations).
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions.
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.
Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines.
Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.
Implement automated data quality checks, validation rules, and monitoring frameworks.
ShyftLabs is a data product company founded in early 2020 that works with Fortune 500 companies. They deliver digital solutions to help accelerate the growth of businesses across various industries through innovation; they also value strong business awareness.
Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data.
Design, build, and optimize large‑scale ingestion and transformation pipelines capable of processing petabyte‑scale autonomous‑driving sensor data.
Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets.
Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family. They are focused solely on developing software for automated trucks to transform how the world moves freight and have a collaborative, energetic, and team-focused culture.