GoMining

Design and maintain scalable cloud-based data platforms and reliable data pipelines with monitoring and best practices implementation. | 6+ years in data engineering with strong software engineering and Python skills, plus hands-on experience with Google Cloud Platform and data modeling. | We are looking for a Senior Data Engineer with a strong software engineering background and deep expertise in building modern cloud-based data platforms. You will be responsible for designing and developing scalable data infrastructure, building reliable data pipelines, and establishing engineering best practices across our data ecosystem. This role is ideal for someone who enjoys solving complex engineering challenges while enabling analytics, machine learning, and product teams with high-quality data. ResponsibilitiesData Platform Design, build, and evolve GoMining's cloud data platform on Google Cloud Platform. Develop scalable data architecture following modern engineering principles, including Medallion Architecture. Define and maintain data models, data contracts, and integration standards across systems. Data Engineering Build and maintain reliable batch and streaming data pipelines. Integrate data from internal services and third-party APIs. Develop scalable ETL/ELT workflows and automate data processing. Build and maintain analytical data marts for business and product teams. Platform Reliability Ensure data quality, consistency, and reliability across the platform. Implement monitoring, alerting, and SLA management for data pipelines. Continuously improve platform performance, scalability, and operational efficiency. Engineering Excellence Drive Infrastructure as Code (IaC), CI/CD, and automation across the data platform. Contribute to the development of ML and AI infrastructure. Establish engineering best practices, code quality standards, and technical documentation. Collaborate closely with Analytics, Data Science, Product, and Engineering teams. Technology Stack Python SQL Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer) Apache Airflow Terraform Kubernetes Docker CI/CD REST APIs Git 6+ years of experience in Data Engineering, including 3+ years in Senior-level roles. Strong software engineering background with excellent Python skills. Proven experience designing and building cloud-based data platforms and data warehouses. Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, and Composer (Airflow). Experience building ETL/ELT pipelines, streaming architectures, and API integrations. Experience with Terraform, Kubernetes, Docker, and CI/CD pipelines. Strong understanding of data modeling, distributed systems, and scalable data architectures. Experience implementing data quality, monitoring, and observability solutions. Strong SQL skills Nice to have Experience building ML infrastructure and supporting Data Science teams. Experience with Kafka or other streaming platforms. Experience working with fintech, crypto, Web3, or high-scale B2C products. Experience with modern data lakehouse architectures. Experience using AI tools to improve engineering productivity. Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Build and own consumer research program including market sizing, segmentation, and brand health tracking, translating findings into actionable brand strategy recommendations. | 5+ years experience in consumer insights, market research, or brand strategy with strong quantitative and qualitative research skills and ability to manage agencies and translate data into commercial recommendations. | As Consumer Research Manager, you are the consumer insights function for GoMining marketing. You report directly to the CMO and work in a pair with the Brand Director: you produce the evidence, together you produce the brand strategy. You will establish the baseline that brand OKRs are set against, and you will own the research programme from question to decision — including the agencies who execute it. Responsibilities Build and own the consumer research programme: market sizing, segmentation, consumer usage & attitudes, brand health tracking, brand lift and more. Establish the brand and category baseline: awareness, consideration, differentiation, trust and barriers — by market and segment. Run concept, proposition, messaging and creative testing for brand and GTM launches, before spending commits. Own audience segmentation and the personas the whole marketing function uses — and keep them alive rather than filed. Run qualitative work directly where speed matters: user interviews, focus groups, community listening. Own research vendor relationships and briefs (brand trackers and ad-hoc studies), including scope, cost and quality control. Combine attitudinal research with behavioural and performance data from shared analytics colleagues to explain why, not just what. Track the competitive and category landscape as a standing input, not an occasional deck. Turn findings into decisions: recommendations that name the trade-off, not reports that describe the market. Build the measurement framework that makes brand and marketing OKRs verifiable quarter over quarter. 5+ years in consumer insights, market research or brand strategy — client-side, agency-side or both. Hands-on experience running brand health trackers and U&A studies: you have written the questionnaire, not only read the report. Strong quantitative skills — sampling, significance, weighting — and genuine qualitative craft. Experience managing research agencies and briefing them well enough to get useful output. You translate data into a recommendation and defend it in a room with commercial leaders. Experience with multi-market research and the comparability problems it creates. Experience building an insights function from zero. Fluent English. Nice to Have Crypto, fintech or investment-product category experience. Familiarity with product analytics tools and working alongside data teams. Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Lead a small engineering team to design and develop scalable backend services and APIs, drive architectural decisions, maintain code quality, and mentor engineers. | 7+ years software engineering experience with strong Node.js, TypeScript, distributed systems expertise, AI tools proficiency, and English B2/C1 level. | We are looking for a Lead FullStack Engineer with strong backend expertise to help us build reliable, scalable, and high-quality products. You will lead a small engineering team consisting of 3 engineers and 2 QA specialists. This is a hands-on role requiring deep involvement in architecture, complex technical challenges, and production development. We expect you to actively leverage AI tools to improve engineering quality and development velocity. Responsibilities Design and develop scalable backend services and APIs. Drive architecture decisions and ensure high engineering standards. Write production-ready code and actively use AI tools to accelerate development. Solve complex technical challenges and improve system reliability. Lead code reviews and maintain code quality across the team. Mentor engineers and help increase team productivity. Collaborate closely with Product, Design, and QA teams. Continuously improve development processes and engineering practices. 7+ years of software engineering experience. Strong commercial experience with Node.js and TypeScript. Experience designing scalable architectures and distributed systems. Solid understanding of PostgreSQL, Redis, REST APIs, and asynchronous patterns. Experience with Docker and CI/CD pipelines. Experience leading engineers and driving technical decisions. Strong hands-on approach and willingness to stay close to the code. Experience using AI tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development. English B2/C1. Nice to Have Experience with React or Angular. Experience with RabbitMQ, Kubernetes, and GitOps. Experience with Web3 or blockchain products. Experience integrating LLM APIs and AI capabilities into products Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Build and scale enterprise products owning features end-to-end from backend to frontend deployment and support. | Requires commercial experience with Node.js, TypeScript, modern frontend frameworks, AI-assisted tools, and engineering fundamentals like CI/CD and Docker. | 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. 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 Strong JavaScript and TypeScript skills. Solid experience with React or Angular. Experience building responsive web applications. Experience with component-driven architecture and reusable UI patterns. Experience with HTML, CSS, SCSS, and modern frontend tooling (Webpack, Vite, ESLint, Prettier). Experience writing UI tests using Jest or similar frameworks. Engineering Fundamentals Strong Git workflow and code review practices. Experience with CI/CD and GitLab CI. Docker and local development environments. Comfortable working with Linux and CLI tools. Understanding of software architecture and distributed systems concepts. AI-First Engineering Experience using Cursor, GitHub Copilot, Claude Code, or similar tools. Experience with AI-assisted coding, debugging, and documentation. Understanding of prompt engineering and LLM capabilities. AI-first mindset and willingness to continuously learn. Nice to Have Experience with Web3 or blockchain products. Experience integrating third-party APIs (payments, KYC providers, etc.). Familiarity with Kubernetes and GitOps. Experience integrating OpenAI, Anthropic, or other LLM APIs. Experience with Next.js and SSR. Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).