Who we are;

Octopus by RTG is enabling a key partner organization to grow their tech teams while focusing on AI. We are currently looking for the right pioneers to join the team!

Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.

Octopus is specialized in rapidly assembling remote & onsite global tech teams that are fully aligned with the culture and practices of a particular brand. By providing tailored hubs to suit its clients needs, Octopus gives companies all the advantages of remote work and offshoring without all the negatives.

You will be working with one of our partners in Saudi that is transforming the insurance industry in the Kingdom with smart, instant, and purposeful solutions

DOF is a leading offshore services company with over four decades of experience delivering integrated subsea and marine solutions to the global energy sector. Headquartered in Norway and operating in more than 15 countries. DOF is at the forefront of innovation, safety, and sustainability in offshore operations!

Join us as a Grade II Surveyor (Offshore)

DOF Australia Pty Ltd is seeking a driven and capable Grade II Surveyor to join our team full‑time.
In this role, you’ll play a key part in supporting offshore survey and inspection projects across DOF’s global operations. Working alongside Senior Surveyors and Party Chiefs, you’ll operate cutting‑edge online survey systems, manage positioning equipment, and carry out essential data processing to deliver precise and dependable survey results.

If you’re motivated, technically minded, and ready to grow your offshore surveying career, this is an excellent opportunity to step into a dynamic and supportive environment.

Responsibilities include:

About DOF

DOF is a leading offshore services company with over four decades of experience delivering integrated subsea and marine solutions to the global energy sector. Headquartered in Norway and operating in more than 15 countries. DOF is at the forefront of innovation, safety, and sustainability in offshore operations!

Join us as our new Geomatics Survey Specialist

DOF Australia Pty Ltd is looking for an experienced, highly motivated Geomatics Survey Specialist to lead our data operations. In this role, you will be the bridge between complex field data and high-quality project deliverables. You’ll manage end-to-end geomatics workflows, ensure rigorous industry compliance, and collaborate with project teams to maintain our reputation for excellence and HSEQ integrity.

Key Responsibilities:

1. Project Planning & Technical Readiness

Senior Rust Engineer (Solana/DeFi)

Location: Remote (CET +/- 4 hours) Type: Full-time

Compensation: $72K - $90K

We are a stealth-stage DeFi Trading & Intelligence platform dedicated to the Solana ecosystem. We are building the critical infrastructure required for sophisticated on-chain decision-making—ranging from real-time signals and smart money tracking to enterprise-grade fraud detection. Our platform delivers high-fidelity on-chain analytics through a high-performance API. We are a small, fast-moving team tackling the most challenging problems in blockchain data. As a Senior Rust Engineer, you will play a pivotal role in architecting systems that process millions of Solana transactions in real-time.

This is an early-stage startup environment. We are looking for an engineer who thrives on high ownership, fast iteration cycles, and the opportunity to ship code that immediately impacts production environments. If you are passionate about building high-throughput infrastructure and solving "hard" data problems, we want to hear from you.

Responsibilities

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 240 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organisations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About the Job:

Are you interested in building web crawlers harnessing the Zyte platform, which powers crawls of over 3 billion pages a month?

Do you like working in a company with a strong open source foundation?

Zyte is looking for Software Engineers to join our Delivery team to work on web crawler development with Scrapy, our flagship, open source project.

Job Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries.

Key Responsibilities

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. We are seeking a Senior Data Scientist (GenAI) to lead LLM model development for AML/Risk use cases. This role will work closely with business stakeholders to translate AML and risk requirements into scalable GenAI/LLM-based solutions. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements