Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

How you’ll make an impact

This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries. 

As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience.

Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...).

Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features.

At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team.

Here's a taste of how you can help the team: 

• Coding advanced automated test suites to exercise our applications at all levels
• Defining manual testing plans, test strategies and define priorities
• Working with the developers to ensure that they deliver testable code
• Improving existing test infrastructure and frameworks (virtual machines, containers, auto-provisioning, UI testing, ...)
• Mentoring and helping new QA team members

What you need to be successful 

• You have experience in software test engineering with a significant part in automation (API and/or UI Testing)
• You think collaborating with developers is the key for a good testing strategy
• You have worked with at least one Object Oriented language (such as Python, Java, C#, or C++)
• You discuss choices before implementing them

What will make you stand out

• Experience with big data technologies, such as Hadoop, Spark, or Kubernetes 
• Experience with cloud platforms such as AWS, Azure, and GCP
• Basic knowledge of Machine Learning

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team
• Peer interview with two members of the team
• A take-home test to show your skills
• Debrief of your technical test with the VP of Test Engineering
• Final Interview with a VP of Engineering  #LI-Hybrid

Role Description

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. This position focuses on evaluating and improving large language models (LLMs) by leveraging deep subject-matter expertise in chemistry to rigorously assess model accuracy, reasoning, and scientific depth across advanced chemical disciplines.

Key Domains

• General Chemistry
• Organic Chemistry
• Inorganic Chemistry
• Analytical Chemistry
• Physical Chemistry
• Electrochemistry
• Polymer Chemistry
• Biochemistry and Molecular Biology
• Medicinal Chemistry
• Radiochemistry
• Chemical Engineering and Technology
• Fluid Flow and Heat Transfer in Chemical Engineering
• Mass Transport and Separation Processes
• Chemical Reaction Engineering

Key Responsibilities

• Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines.
• Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes.
• Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps.
• Provide structured feedback and benchmarking using specialized evaluation tools.
• Work independently and asynchronously as part of a distributed research team.

Requirements

• PhD (or PhD candidate) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field.
• Strong command of graduate-level chemistry concepts and scientific problem solving.
• Excellent written communication and analytical thinking skills.
• Ability to work independently in a remote, asynchronous environment.
• Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required.

Role Details

• Part-time (approximately 30 hours/week)
• Remote and asynchronous
• Flexible schedule

Compensation

• Contractor position via Mercor
• $20–$30/hour, based on expertise and domain experience
• Weekly payments via Stripe Connect

Company Description

Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

At GitLab, developers are independent and self-organized individual contributors who work together as a tight team in a remote and agile way.

The Data Frameworks Group works on developing solutions for data scalability, health, and developer enablement across all of GitLab's application datastores. We build frameworks and provide guidance that help teams make informed decisions about data architecture, placement, and lifecycle management, while ensuring data integrity and safety across both SaaS and self-managed deployments. If building frameworks that enable teams to work confidently with data at scale excites you, please read on!

Most backend developers at GitLab work on all aspects of the application, building features and fixing bugs. The Data Frameworks section is responsible for building the frameworks and tooling that ensure data changes work safely across all of GitLab's deployment scenarios—from GitLab.com to thousands of self-managed instances running different versions.

The main focus of the team is to proactively identify saturation points for our gitlab.com infrastructure, and identify and work with teams to implement corrective actions to solve them. With our recent move into the newly formed Data Engineering organization, the team mission is expanding, and we're growing the team accordingly. This change is allowing us to prioritize new efforts that are outside the scope of operating gitlab.com, and include shipping scalability features and data health focused initiatives to our self-managed customers.

This team collaborates closely with our infrastructure data access stage, our software delivery stage, and our analytics stage. We also have regular collaboration with teams across the organization to help them deliver high performing features and improvements.

A few examples of our current projects:

• SQL Traffic Replay Tooling
• Background Operations Framework

A few examples of upcoming projects in our evolving scope:

• Exploring strategies for soft deleting data
• Enhanced testing of database migrations

• Develop new features in collaboration with our product management, UX, and frontend teams
• Keep changes small and iterate towards the best solution
• Reviewing database related changes submitted by other engineers or community contributors
• Documenting database best practices or patterns to avoid
• Developing tooling to proactively inform developers of potential performance issues
• Research, design and implement solutions to improve product performance 

• Professional software engineering experience with PostgreSQL in large production environments
• Significant experience with Ruby on Rails or other Ruby frameworks
• You can reason about software, algorithms, and performance at a high level
• You are passionate about open source
• Strong written communication skills
• Self-motivated and have strong organizational skills
• You share our values, and work in accordance with those values

• Experience with Distributed Messaging Queues (Kafka, NATS)
• Experience with migrating large production datasets between data stores
• Experience in a peak performance organization, preferably a tech startup
• Experience with the GitLab product as a user or contributor
• Product company experience
• Experience working with a remote team
• Enterprise software company experience
• Developer platform/tool industry experience
• Experience working with a global or otherwise multicultural team
• Computer science education or equivalent experience
• Passionate about/experienced with open source and developer tools

Data Theorem is an exciting company focused on creating a more secure world for data. Rooted in a strong Engineer first culture, every employee has an impact on product and direction. We are searching for exceptional talent pursuing an opportunity to grow and take ownership of the projects that resonate most with them.

As a Senior Python Backend Engineer, you will be responsible for implementing web services, libraries and tools in Python, in order to automate the security analysis of mobile, cloud and web applications, at scale. We help thousands of Developers and Security Engineers discover, understand, and fix security and privacy issues affecting their applications.

You will:

• Implement web services using Python, and deploy them to Google Cloud using modern technologies such as Cloud Functions and Cloud Run.

• Collaborate with the Design team and the Front-end team to build new customer-facing UIs and flows for security analysis and automation.

• Be an active member of the Data Theorem's Engineering team, which is spread across the United States, England, France, and Canada.

• Contribute to our scanning platform, which is able to scan millions of mobile, web, and cloud assets every day to validate their security.

We’re looking for someone who has:

• 4+ years of Software Engineering experience.

• Significant experience implementing web services and APIs in Python.

• Familiarity with modern practices and tools for developing in Python (testing frameworks, type annotations, etc.).

• Bonus points: experience with Google Cloud, Cloud Run, PostgreSQL, or Firestore.

About Calo

Launched in Bahrain in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.

Role Overview

We're seeking an experienced and passionate Staff Software Engineer to design, develop, and maintain reliable, secure, and well-tested backend systems. As a Staff Software Engineer, you will write clean, production-ready code, help shape the architecture, and lead by example in code reviews and best practices. You will work closely with the Product team and fellow engineers as part of the platform team to release new features, enhance performance, maintain the codebase, and ensure its security. A significant advantage if you enjoy mentoring and tackling challenging edge cases.

Main Responsibilities

• Write clean, testable, and production-ready code that handles edge cases, performance, and security.
• Propose and execute architectural decisions.
• Own feature development end-to-end — from idea to production
• Write unit and higher-level tests, follow the testing pyramid, and use quality metrics to spot gaps
• Create well-scoped PRs with clear descriptions, review others’ code for quality, coverage, and acceptance criteria
• Mentor engineers and lead code reviews, sharing best practices and fostering growth
• Proactively identify opportunities to simplify code and improve technical design and workflows
• Monitor system health, own incidents, and ensure CI/CD and deployment readiness
• Communicate clearly with technical and non-technical teams, keeping Jira and project tracking up to date
• Propose tools and processes that boost team productivity and participate in retrospectives to drive improvement
• Encourage experimentation, cross-functional collaboration, and open discussion in team meetings
• Support hiring efforts by interviewing candidates and providing thoughtful, fair assessments

Ideal Candidate

• Must have 5+ years of backend experience, including 4+ years working with Node.js and TypeScript in production environments
   
• Must have strong experience building serverless systems, microservices, and event-driven architectures at scale
   
• Must have deep knowledge of AWS services such as Lambda, Cognito, S3, DynamoDB, SQS, SNS, and CloudFormation
   
• Must have a solid understanding of NoSQL (especially DynamoDB) and working experience with SQL databases
   
• Must be well-versed in TDD, clean architecture, CI/CD pipelines, and modern testing practices
   
• Must be familiar with REST and GraphQL APIs, performance monitoring, and secure coding standards
   
• Must be able to make architectural decisions, mentor engineers, and lead by example through code reviews and knowledge-sharing
   
• Must be proactive, collaborative, and able to navigate ambiguity in cross-functional, distributed teams
   
• Startup or fast-paced team experience is a plus
   
• Strong communication skills, with the ability to work across disciplines and contribute to a healthy, high-performing team culture

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms. 

You:

Feedzai Platform Engineering Compute team is responsible for the overall cloud platform architecture that supports the cloud services provided to our customers and internal developers. As part of this team you'll work with other platform engineers with a deep understanding of Feedzai cloud products and environments in developing the automation, tooling and platforms that support Feedzai top notch cloud service, and by doing so, contributing to a faster and more nimble product delivery.

Your Day to Day:

• Build and maintain Kubernetes Operators, including deployment, monitoring and operations by the team.
• Engage in development tasks using Go, or similar languages.
• Automate all aspects of the cloud infrastructure and incident response;
• Contribute to the self-healing capabilities of applications in our enterprise environments.
• Develop playbooks associated with actionable alerts to streamline response procedures.
• Container orchestration with Kubernetes;
• Maintain and improve the product deployment pipeline;
• Participate in incident response, root cause investigation and resolution;
• Maintain and enhance our Infrastructure as Code (IaC) to efficiently manage end-to-end lifecycle operations (monitoring, alerting, security, cost optimization, configuration, backup, etc.) in production environments.
• Utilize your experience and problem solving skills to help prevent and investigate production issues.
• Experience working with Generative AI (GenAI) tools is a plus.

You Have & You Know-How:

• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
• Programming skills in languages such as Go, Python, or similar.
• 4+ years of professional experience
• Hands-on experience with Container Technologies and Orchestration (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines with Jenkins, Gitlab, or similar and GitOps tools such as FluxCD or Argo CD.
• Knowledge or experience working with Cloud Providers, with a preference for AWS or GCP Cloud.
• Knowledge or experience in utilizing monitoring and observability stacks like Grafana and Prometheus.
• Knowledge or experience in Infrastructure-as-Code (IaC) practices and knowledge or experience in tools like Terraform and Crossplane.
• Self-driven, motivated, with a strong work ethic, and a passion for creative problem-solving.

Preferred/Valued Qualifications and Skills: 

• Excellent communication skills both written and verbal;
• Kubernetes, Cloud and programming certifications or equivalent are valued;
  
  

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

 #LI-Remote #LI-MG3

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Moniepoint processed $182 billion in 2023, and currently processes the majority of the POS transactions in Nigeria.

About the role

Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc. 

We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience. 

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What You'll Be Doing

• Collaborate with cross-functional teams (product, design, QA) to define, design, and ship high-impact features.
• Design scalable architecture and implement performant backend services using Java and Spring Boot.
• Write clean, maintainable, and well-documented code with a strong focus on reliability and testability.
• Integrate third-party services and APIs while ensuring robust error handling and graceful degradation.
• Continuously improve system performance and developer experience through automation and refactoring.
• Debug complex issues across the stack and proactively identify opportunities for technical improvement.
• Participate in code reviews, architecture discussions, and share best practices with the team.
• Document technical decisions, systems, and processes for future team reference and transparency.

What We're Looking For

• BS/MS in Computer Science, Engineering, or a related technical field.
• At least 5+ years of professional experience in software engineering, with a strong focus on backend systems.
• Expertise in Java and Spring Boot; solid understanding of modern backend architecture and best practices.
• Experience building and scaling web services, APIs, and distributed systems.
• Familiarity with Agile development methodologies and CI/CD pipelines.
• Proficient with relational databases and ORM frameworks (e.g., Hibernate).
• Exposure to frontend frameworks like AngularJS or React is a plus.
• Strong debugging skills and a methodical approach to problem-solving.
• Excellent communication skills and a team-first attitude.

Our Tech Stack

As part of our engineering team, you’ll work with modern technologies and tools that enable us to build scalable, reliable, and high-performing systems. Some of the technologies you’ll be hands-on with include

• Java (latest versions): Powering our core backend systems with a focus on performance and maintainability.
• Spring & Spring Boot: Building modular, production-grade microservices with robust dependency management.
• Docker & Kubernetes: Containerized deployments and orchestration for consistent, scalable environments across dev, staging, and production.
• PostgreSQL & DynamoDB: A combination of relational and NoSQL databases to handle structured data and dynamic scaling needs.
• Elasticsearch: For fast, flexible full-text search and analytics across large datasets.
• AWS Cloud Infrastructure: Deploying and managing microservices using a cloud-native architecture that supports global scalability.

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave plus other benefits.

What to expect in the hiring process

Our interview process is designed to be thoughtful, transparent, and candidate-friendly, allowing you to showcase your strengths while getting to know us better:

• Initial Conversation: A brief introductory call with our recruiter to learn more about your background, career goals, and to share insights about the role and our team.
• Technical Assessment: A practical, take-home coding exercise that reflects real-world challenges. You'll have ample time to complete this in your own environment
• Deep Dive Technical Interview: A focused session with our Engineering Team, where we'll explore system design, architecture, and problem-solving approaches.
• Final Interview: A combined technical and behavioural conversation with a member of our Executive Team, aimed at understanding your alignment with our values, vision, and culture

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Location: LATAM (Remote supporting US-based teams)
Job Type: Contractor (Full-Time, Remote)
Project: Data Platform Modernization Healthcare Sector
Time Zone: Aligned with GMT-3 (Argentina)
English Level: B2/C1

At Darwoft, we build software that drives real change. But were more than just tech were people first. With a remote-first culture and a highly collaborative team spread across LATAM, we partner with global companies to co-create reliable, scalable, and impactful digital products.

Were currently working with a leading US-based healthtech platform, in a major transformation of their data pipeline ecosystem migrating legacy SQL logic into modern, scalable cloud-based infrastructure using DBT, Spark, Argo, and AWS.

In this role, you will be at the core of a strategic data transformation initiative: converting monolithic SQL Server logic into a modular, testable DBT architecture, while integrating Spark for performance and Argo for orchestration. You will work with cutting-edge lakehouse formats like Apache Hudi, Parquet, and Iceberg, and enable real-time analytics through ElasticSearch integration.

If you're passionate about modern data engineering and want to work in a data-driven, cloud-native, healthcare-focused environment, this is the role for you.

• Translate legacy T-SQL logic into modular, scalable DBT models powered by Spark SQL
• Build reusable and performant data transformation pipelines
• Develop testing frameworks to ensure data accuracy and integrity in DBT workflows
• Design and orchestrate workflows using Argo Workflows and CI/CD pipelines with Argo CD
• Manage mock data and reference datasets (e.g., ICD-10, CPT), ensuring version control and governance
• Implement efficient storage/query strategies using Apache Hudi, Parquet, and Iceberg
• Integrate ElasticSearch for analytics by building APIs and pipelines to support indexing and querying
• Collaborate with DevOps teams to optimize S3 usage, enforce data security, and ensure compliance
• Work in Agile squads and participate in planning, estimation, and sprint reviews

• Strong experience with DBT for data modeling, testing, and deployment
• Hands-on proficiency in Spark SQL, including performance tuning
• Solid programming skills in Python for automation and data manipulation
• Familiarity with Jinja templating for building reusable DBT components
• Practical experience with data lake formats: Apache Hudi, Parquet, Iceberg
• Expertise in Argo Workflows and CI/CD integration with Argo CD
• Deep understanding of AWS S3 data storage, performance tuning, and cost optimization
• Strong command of ElasticSearch for indexing structured/unstructured data
• Knowledge of ICD-10, CPT, and other healthcare data standards
• Ability to work cross-functionally in Agile environments

• Experience with Docker, Kubernetes, and container orchestration
• Familiarity with cloud-native data tools: AWS Glue, Databricks, EMR, or GCP equivalents
• Prior work on CI/CD automation for data engineering workflows
• Knowledge of data compliance standards: HIPAA, SOC2, etc.
• Contributions to open-source projects in DBT, Spark, or data engineering frameworks

• Contractor agreement with payment in USD
• 100% remote work
• Argentinas public holidays
• English classes
• Referral program
• Access to learning platforms

Explore this and other opportunities at:
www.darwoft.com/careers

Company overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Position overview:

Blue Orange is seeking to expand our Team of expert consultants with an experienced Machine Learning Engineer to address a set of expanding opportunities in the next several months. The ideal candidate will possess a deep passion for machine learning, AI tech and innovative data solutions with proficiency in advanced machine learning techniques, strong skills in programming languages such as Python, expertise around data analytics and feature engineering, experience working with some of the main ML and D frameworks, a proven track record of working with cloud-native solutions in at least 1 of the main clouds (AWS, GCP, Azure, or Snowflake, etc.), MLOps and LLMs, and strong proficiency in the end-to-end ML/AI cycle, from ideation to production. The candidate will play a crucial role in driving our machine-learning initiatives forward. The candidate will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively.

At Blue Orange, you'll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and design to productionize Gen AI solutions into practical product driven applications.
• Design and implement application integrations to leverage newly build GenAI Products.
• Build solutions that improve delivery speed and scalability of product pipelines.
• Leverage managed and serverless cloud offerings to create performant and scalable cloud native application solutions and data pipelines.
• Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs.
• Work closely with GenAI engineers and researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment.
• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, and explore innovative approaches to enhance Gen AI capabilities.

Requirements:

• Experience with NLP and LLM-based technologies and frameworks.
• Proficiency in programming languages such as Python and JavaScript is preferred.
• Proven track record of successful delivery of software engineering projects.
• Ability to think and learn on your feet, and the ability to quickly become proficient with new technologies in a fast-paced environment.
• Understanding and passion for Test Driven Design.
• Familiarity with ETL concepts and best practices.
• Experience with prompt engineering and RAG techniques preferred.
• Excellent problem-solving skills, critical thinking abilities, and attention to detail.
• Effective communication skills and the ability to collaborate effectively in a team environment.
• Passion for AI and a desire to contribute to the advancement of Gen AI technologies.
• Strong problem-solving and analytical skills.
• Self-driven and autonomous.
• Excellent verbal and written communication skills.
• Team player.
• Eagerness to learn and adapt in a fast-paced environment.
• 5+ years of industry experience as a hands-on practitioner of software engineering and proven experience with cloud offerings.
• 3+ years of experience with cloud platforms such as AWS.
• Experience with Docker preferred.
• Bachelor's degree or higher in Computer Science or a related field.

Preferred qualifications:

• Advanced degree in a relevant field.
• Publications in relevant AI/ML communities and journals.
• Experience fine-tuning OpenSource LLMs and deploying them.
• MLFlow, etc., a plus.

Benefits:

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with

Salary: USD $7,454 - $9,486 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal opportunity employer.

About RedCloud

The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.

RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.

Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We’re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.

The role:

A Lead Data Engineer builds, maintains and supports our data warehouse, delivering data to the whole business in an easy, performant and readable format. They are the core engineers that empower the data behind our AI strategies and business decisions. They will work in a squad along side data scientists and AI engineers allowing for a whole picture on how the data is used. The ideal candidate will have Technical skills across SQL, Database Design (snowflake, PostgreSQL, MySQL) and Python.

What will you be doing:

Architect Data Warehouse

Own the architecture and flow of data into our data warehouse through collaboration with the squad, other squads and the wider business. Partner with the product manager to support and deliver a data warehouse that is performant, readable, easy to use and enables the business needs of other teams.

Design, Build and Maintain ELT Solutions

Design, build and maintain systems to consume data from other Internal RedCloud Systems and External Partners and/or Customers.

Deliver Data Insights

Work with colleagues through the business and directly with customers helping them to understand the data we have, build and refine models to help them deliver impact, carry out change or drive additional revenue through our customer base.

Resolve Bugs

Investigate and resolve bugs in our systems.

Handle production Outages / issues

Respond to production outages and issues in our systems.

Estimate Features / Bugs

Estimate features and bugs within estimation sessions alongside the team.

Refine feature requirements

Refine features delivered by product managers.

Carry out code reviews

Carry out code reviews / Pull-request reviews for other engineers, ensuring quality on code.

Keeping pace with Technology

As a senior member of the squad train and learn latest technologies adopted by RedCloud suggesting future libraries and patterns we should be looking at as a business.

Soft Skills

Mentor Members of the Team

Mentor all levels of engineers and new starters in the team, as their RedCloud buddy. Ensure they have all they need to succeed within your team.

Communication

Communicate effectively and clearly to those within your team and across the business.

Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.

Benefits

Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity.

Plus, you will get:

• 25 Days Annual leave, increasing to 26 days after 12 months in the business
• Enhanced Company Pension (Matched up to 5% & Salary Sacrifice) 
• Healthcare Cashplan with Medicash
• Private Healthcare with Aviva
• Life Insurance with AIG
• Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.
• Stock / Equity

Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we’re on!

RedCloud I We're growing!

RedCloud I Red101 App I Open Commerce