Build and maintain ETL/ELT data pipelines for large-scale organizations.
Develop data solutions using SQL, Python, and tools such as Snowflake and AWS.
Collaborate with non-technical stakeholders to translate business requirements into scalable technical solutions.
We are a trusted technology and transformation solutions provider for global brands, with over 30 years of experience. We have more than 3,300 employees, €350/£300m in revenue, and a values-driven culture that has earned us recognition as a Great Place to Work.
Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.
Design and implement automated data discovery mechanisms and build ETL/ELT pipelines using SQL and Fabric.
Ensure data quality, implement transformations, and resolve pipeline issues.
Collaborate cross-functionally to improve pipeline performance and scalability.
Hyland is the pioneer of the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations. Trusted by thousands of organizations including the Fortune 100, Hyland has nearly 4,000 employees and fosters an inclusive, employee-centric culture.
Design and build scalable backend services using Python, AWS, and Kubernetes to improve developer productivity.
Lead technical initiatives across the engineering organization with 7–10 years of experience.
Work on production AI/LLM applications and microservices architecture in a fully remote European team.
Codeminders develops cutting-edge software solutions for high-tech companies, focusing on AI, mobile apps, video conferencing, and cloud computing. They collaborate with world-class engineers from the US and Ukraine and uphold strong ethical standards with no business ties to Russia or Belarus.
Design, develop, and maintain SQL Server databases, including stored procedures, views, indexes, and supporting database components.
Build and optimize ETL pipelines and data workflows using SSIS, SQL Server, Python, and/or PySpark.
Lead or support large-scale data conversion and migration efforts, including data cleansing, transformation, validation, and quality assurance.
RESPEC is an employee-owned company that tackles complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. Founded in 1969, it is a 100% employee-owned firm with a culture of ownership and impact.
Design and build scalable backend services and APIs.
Develop integrations with healthcare and financial systems.
Build reliable, observable data ingestion and processing pipelines.
This healthcare AI startup builds products that help providers navigate reimbursement landscapes using machine learning and AI. It has assembled an exceptional technical team and is fast-growing.
Define and drive the long-term technical strategy for the Document Domain, ensuring scalable architecture and reliable product evolution.
Design, develop, and maintain complex backend systems using Python and modern engineering practices.
Lead initiatives that improve system reliability, performance, maintainability, and developer productivity.
Our partner is a modern SaaS platform building and scaling critical systems for document creation, editing, and management. They offer a remote-friendly work environment with a focus on collaboration, ownership, and work-life balance.
Write, test, and maintain clean, efficient Python code for health-related software projects.
Develop and optimize database interactions and RESTful APIs for healthcare data exchange.
Collaborate with cross-functional teams and perform testing and debugging to ensure code quality.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. The company serves federal agencies in defense, space, healthcare, and energy sectors, and is committed to agility and collaboration.
Design, develop, and maintain scalable backend services, APIs, and cloud-native applications using Python.
Build and optimize distributed systems, payment processing workflows, and backend infrastructure.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.
The company develops AI-driven financial technology solutions for businesses globally. It offers a fully remote work environment with a collaborative and innovative engineering culture.
Build an application that connects to legacy CRM systems, extracts data, and prepares it for migration into Dwelly's core platform.
Design workflows for cleaning, mapping, and validating complex CRM data, and build safe import flows with retries and error handling.
Own the platform end-to-end from architecture to production support, working closely with engineering, product, and operations teams.
Dwelly is a UK-based, AI-enabled lettings and property management platform that acquires estate agencies and integrates them into a tech-enabled digital platform. It is a fast-growing, product-focused company backed by top-tier investors with a team experienced in real estate, technology, and operations.
Design and implement large-scale distributed systems for an E-commerce platform.
Build scalable backend services and microservices using Python.
Develop responsive frontend functionality using React and create REST/GraphQL APIs.
Sigma Software creates innovative digital products that combine scalability, performance, and outstanding user experience. We are a team of engineers collaborating on high-impact projects for leading marketplaces.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Own the complete lifecycle of backend features, including design, development, deployment, and production support.
Design, build, and maintain scalable backend services using Python and Django, including asynchronous components.
Develop reliable systems supporting critical workflows such as wallets, transactions, payments, settlements, and other high-impact services.
Our partner is a company that builds and maintains critical financial and transactional services for a large-scale gaming platform. They are an international team that values collaboration, engineering excellence, and continuous improvement.
Perform data imports from various sources using Talend ETL tool, Python scripts, and public/private APIs.
Build, improve, and optimize data services processes and integrations between web applications.
Work closely with the Professional Services team to address customer requests and become an expert in your area.
SmartRecruiters provides a recruitment platform that powers superhuman hiring with next-gen AI functionality. It serves 4,000 customers including Bosch, LinkedIn, and Visa, and is a values-driven, globally focused tech employer with strong financial backing, recognized for its culture and benefits.
Spearhead custom technical solutions for client onboarding, designing sustainable data integrations beyond core product development.
Collaborate with the Implementations team to evaluate client data, define scope, and establish timelines and effort estimates.
Write robust, scalable code adhering to best practices, and create reusable tools to enhance operational efficiency.
TrueAccord, a wholly owned subsidiary of TrueML, transforms debt resolution using machine learning and a human-based approach to guide lenders and consumers toward financial health. With a world-class leadership team and proprietary predictive models, they serve millions of Americans annually.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Architect data highways by building custom ETL/ELT pipelines using Databricks, Snowflake, or S3.
Enable bidirectional flow with inbound authentication channels and external APIs for banks to trigger Porters' workflows.
Scale the integration playbook using messaging/streaming services like Apache Kafka and ELT tools to automate customer onboarding.
Porters is building the operating system for autonomous banking. They have gone live with their first customers and are a small, fast-paced team working closely with founders who have scaled fintech and analytics products before.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Design, develop, and maintain web applications using Django and FastAPI
Build and integrate RESTful APIs and implement scalable ETL data transformation workflows
Write efficient SQL, manage PostgreSQL schemas, and ensure code quality through testing and reviews
Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. Trusted by 75% of the top fleets in North America, Fleetworthy supports millions of vehicles and drivers.
Design and develop scalable backend services and APIs for the Customer Data Platform and AI ecosystem.
Build secure, high-performance service layers on top of PostgreSQL, Snowflake, and other enterprise data platforms.
Partner with Data Engineering and ML Ops teams to support model serving, data products, and operational data systems.
National Debt Relief is a leading debt settlement organization that helps consumers overcome overwhelming debt. They have helped over 450,000 people settle over $10 billion of debt and foster a team-oriented environment with growth opportunities and employee mentorship programs.