Antipollution, a member of Vasileiadis Group of Companies (V Group), is a leading provider of environmental and waste management solutions across the Eastern Mediterranean, Egypt, and the Balkans. Operating in six main business pillars, including Port Reception Facilities, Emergency Response Services, Decontamination Services, Renewable Energy, Alternative Fuel Production from Waste, and Technology, we are committed to sustainability, innovation, and operational excellence.

As part of our growing operations, we are looking for a highly organized and reliable Back Office Administrator to join our team at the Ritsona Plant facility. The successful candidate will report to the Plant Manager and will support the facility and staff with all day-to-day administrative operations. The role involves accurate handling of documentation, maintaining filing systems, and ensuring effective communication with internal departments to support smooth and compliant operations.

Role Overview:

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.

The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.

Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.

Requirements

The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.

Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS

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.

Key Responsibilities

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Job Overview

We are looking for a Mid-Level AI / Backend / API Developer to join our growing team. This role combines backend engineering with AI integration, focusing on building scalable systems and APIs while incorporating intelligent features into applications.

The ideal candidate has strong backend development experience and is comfortable working with AI tools, APIs, and data-driven systems.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services
• Build and manage RESTful and/or GraphQL APIs
• Integrate AI/ML models and third-party AI services into applications
• Handle database design, optimization, and data processing
• Collaborate with frontend developers, product managers, and other stakeholders
• Ensure performance, security, and scalability of backend systems
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug issues across the system

Requirements

Location: Remote - Europe

Remote | Full-time

Compensation: $110K - $125K

We are hiring on behalf of our client who is a premier infrastructure provider within the decentralized web (Web3) ecosystem, serving as the critical connectivity layer for tens of thousands of applications and millions of users globally. Having established a dominant market position, the organization is now expanding its horizons by launching a sophisticated payments solution.

This new initiative enables merchants and payment providers to utilize blockchain rails for stablecoin checkouts, payouts, and deposits, already reaching millions of terminals worldwide through strategic global partnerships.

The data systems supporting this infrastructure are foundational to the company's success. As the organization transitions from MVP pipelines to a scalable production architecture, there is a need for a Senior Data Engineer to join the team. This individual will help design and operate the data foundation behind a global payments network, ensuring that systems tracking wallet connections, transaction health, and financial reconciliations are as reliable as the payment flows themselves.

Tiger Analytics is a 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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

Quant / Trading Engineer

Location: US remote preferred, open to Europe for strong candidates

Compensation: Competitive

We are building a foundational layer for the next generation of financial markets: perpetual markets based on onchain economic activity. Instead of merely pricing assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of applications, protocols, and infrastructure within the onchain economy.

We deploy directly into the Hyperliquid ecosystem, optimizing discovery and execution through our dedicated application. As a member of our early-stage team, you will work at the intersection of quantitative finance, crypto market structure, and high-performance onchain data systems.

Your mission is to build the signal layer and APIs that make autonomous trading agents materially more effective. You won’t just be moving data; you’ll be converting raw market behavior into high-fidelity, agent-readable signals.

Staff Quantitative Engineer (Onchain Market Primitives)

Location: Remote - US remote preferred, open to Europe for strong candidates

Compensation: Competitive

About the Company We are building a foundational layer for perpetual markets centered on onchain economic activity. Instead of pricing speculative assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of the onchain economy—including protocols, infrastructure, and capital flows. Our markets are deployed directly into the Hyperliquid ecosystem, with discovery and execution optimized through a dedicated application suite. This is early, foundational work at the intersection of quantitative finance, crypto market structure, and onchain data systems.

Role Overview We are seeking a Staff Quantitative Engineer to own the design and evolution of our core market primitives. This is not a research-only or support role; you will own markets end-to-end, from first-principles design and specification to post-launch iteration based on real trading behavior. As a technical lead and thought partner to the founders, you will set the standard for how we design indexes, oracles, and market integrity systems.

What You’ll Own