Join the Skandi Saltfjord team as 2nd Officer (internal applicant)

Application Deadline 30.06.26

DOF is pleased to announce an internal opportunity on board Skandi Saltfjord, as we continue to deliver safe and efficient offshore operations.

We are looking for a 2nd Officer to join the vessel from 22.07.26
A handover period prior to embarking may be expected.

Rotation: 4 week
Operational area: North sea/Worldwide

As part of the crew on Skandi Saltfjord, you will play an important role in day‑to‑day operations, contributing to safe execution of work and maintaining DOF’s high operational standards.

We value our employees and aim to provide an environment that supports teamwork, development, and professional growth. This role offers an opportunity for internal candidates who wish to further develop their career within DOF.

Who we are 

DOF is a leading provider of integrated marine and subsea services to the global offshore energy market. We combine expertise, assets, and technology to execute integrated subsea and offshore operations safely, and reliably - every time. 

• Location: Fully Remote (UK)
• Salary: £55,000 - £60,000
• Reports to: Head of Product

The Opportunity

We're building a Content Intelligence (CI) pipeline - an AI-powered system that classifies articles, extracts entity references, and feeds a curated canonical database that our downstream products depend on.

The Data Curation Lead owns the quality and integrity of that database.

This is not an engineering role. You won't be building the pipeline. You'll be working with it - shaping the taxonomies and controlled vocabularies it classifies against, managing the curator workspace where extracted entities become managed records, and using AI tools to do that work better, faster, and at greater scale than any manual process could.

The pipeline produces raw material. You turn it into something clean, structured, and trustworthy.

You'll report to the Head of Product and work very closely with the CEO, who brings deep subject matter expertise in legal content intelligence and will be a hands-on collaborator on this work - particularly on taxonomy design, classification logic, and how the data ultimately serves clients.

Location: New York, United States (Hybrid) 

Hybrid | Full-time

Compensation: $180K - $320K

Our client operates a leading decentralized perpetual exchange, managing tens of billions in cumulative trading volume and bringing global markets—including commodities, forex, indices, stocks, and cryptocurrency—onchain with full self-custody.

To support next-generation scalability, our client is seeking a Senior Infrastructure & Data Engineer. This pivotal position involves spearheading high-impact infrastructure initiatives, migrating core applications to an advanced, state-of-the-art infrastructure layer, and optimizing high-volume data pipelines. The ideal candidate will design an environment where development teams can seamlessly self-serve up to 90% of their infrastructure needs, allowing this role to focus on high-level architecture, latency reduction, and strategic data engineering.

Key Responsibilities

Senior Quality Engineer

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We've spent the last two years rebuilding the platform from the ground up: new customer app, new Pro onboarding, job distribution engine, and data infrastructure. The foundation is solid. Now we're moving into expanded service verticals, dynamic pricing, and AI-powered features at scale. Quality needs to keep up.

Our stack is PHP (Laravel) and React/React Native, with Cypress as our primary test framework. We actively use Claude Code as part of our engineering workflow, not as an experiment, but as a core part of how we work.

The Role

As we scale into new service verticals and grow the engineering team, quality can't be reactive. This role exists to make quality proactive: owning the automation coverage, shaping the bug process, and partnering closely with Product, Design, and the Data team to catch problems before they reach customers.

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.

This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems.

Requirements

Job Description

We are looking for a FullStack Engineer with a strong backend focus to help build and scale Enterprise products.

You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications.

Responsibilities

• Build and maintain frontend applications, widgets, partner portals, and landing pages.
• Design and implement backend services and APIs.
• Prototype new partner integrations and B2B solutions.
• Work closely with Product Managers and Designers from requirements to production.
• Own features end-to-end, including deployment and support.
• Participate in code reviews and architecture discussions.
• Actively leverage AI tools to accelerate development and increase productivity.

Requirements

Backend

• Commercial experience with Node.js and TypeScript.
• Experience building and maintaining REST APIs.
• Good understanding of PostgreSQL and Redis.
• Understanding of asynchronous patterns and message queues.
• Familiarity with JWT and OAuth2.

Frontend

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

About the Role

Zyte is looking for a Quality Engineer to join our unified Quality Engineering function. This is an automation-first, AI-native role embedded directly within our engineering squads.

You will be responsible for designing risk-based test strategies, rapidly converting them into automated checks using AI-assisted development workflows, and continuously improving the quality, speed, and reliability of software delivery. Quality at Zyte is not a gatekeeping function. It is an engineering discipline focused on preventing defects, accelerating delivery, and increasing confidence in every release.

AI coding agents are a core part of how we work. You will be expected to use Claude Code or equivalent AI-assisted development environments as your primary development partner for generating, reviewing, debugging, refactoring, and maintaining automation code.

Location: Remote - Based in EST to CET

Remote | Full-time

Compensation: $180K - $225K

Our client is building the foundational product layer for the next major wave of onchain participants: autonomous, always-on, and incentive-aware AI agents. Having spent years at the frontier of consumer crypto—converting human attention into millions of onchain actions—our client possesses a powerful engine of distribution, incentive coordination, and proof of action. As agents evolve into economic actors capable of reasoning, holding value, and responding to incentives, this established infrastructure serves as an unfair advantage to capture the emerging agentic economy.

Our client is seeking a visionary Head of Product to own the product vision and strategy. This individual will transition a fast-moving thesis into high-scale products utilized by both humans and agents. Operating as a peer to the executive leadership team, the successful candidate will build and scale the product function from scratch. This role is designed for a strategic leader who maintains a builder's mindset and is eager to execute at the ground level.

Key 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 Senior Data Scientist – Causal Inference & Customer Loyalty to join a brand-new Business Unit (BU) supporting leading Retail and CPG clients. In this role, you will design, develop, and deploy advanced causal and predictive solutions that drive critical business decisions across customer retention, loyalty program optimization, churn mitigation, and lifecycle monetization.

You will work closely with business stakeholders, marketing leaders, data engineers, and analytics leadership to build foundational data models and scalable algorithms that deliver measurable revenue generation from customer behavior. The ideal candidate combines strong causal inference expertise with hands-on machine learning experience and the ability to translate complex behavioral data into actionable business recommendations.

Key Responsibilities