Highlights

Location: Remote (CET hours preferred)

Compensation: €4,650 - €5,800 gross + stock options

Language: Russian-speaking team, English B1+ required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes.

At the initial stage, you will be the first engineer in this direction, taking full ownership of the data domain. As the product and data needs grow, we plan to expand the team, and you will have the opportunity to contribute to its development.

This role requires a high level of autonomy and ownership, combined with close collaboration with analytics, Data Science, and engineering teams.

What You’ll Do

• Design and evolve the architecture of the data platform and storage systems.
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
• Maintain and further develop the Data Warehouse.
• Collaborate with engineering and analytics teams on system design and architectural decisions.
• Ensure data governance and maintain high standards of data quality.
• Write and optimize queries for MongoDB and ClickHouse.
• Manage and maintain workflows in Airflow.

Requirements

• Experience: 7+ years of experience as a Data Engineer.
• Programming: 5+ years of experience with Python, TypeScript, Node.js, Kafka.
• Strong understanding of data processing algorithms and principles.
• Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
• Solid understanding of Data Lake and Data Warehouse architectures.
• Experience working with large-scale data and query optimization.
• Ability to work collaboratively toward shared goals.
• Strong sense of ownership, responsibility, and proactivity.
• English level: B1+.

Nice to Have

• Experience with Apache Parquet, MLflow, MongoDB. 

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• €50 monthly allowance to cover internet and mobile phone expenses
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Scopely is looking for a Director of Data to lead Analytics Engineering for Monopoly GO!, one of Scopely’s largest and most successful titles. This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

In this role, you will define how data is built, scaled, and used across the game—owning the platform, standards, and team that power insight, experimentation, and decision-making at scale.

You will operate as both an organizational leader and technical authority: shaping the vision for Analytics Engineering, evolving the data platform, and ensuring data is a core competitive advantage for the business.

What You Will Do

Define Strategy, Vision & Operating Model

• Define the vision and operating model for Analytics Engineering as the organization scales
• Own the roadmap for Analytics Engineering and AI initiatives, driving insight at scale
• Promote a data product mindset, ensuring data assets are reliable, reusable, and easy to access
• Drive adoption of AI-enabled workflows in analytics, and define how AI systems interact with the data platform

Own Data Platform & Architecture

• Set direction for the data platform (pipelines, warehouse, semantic/metrics layer), optimizing for speed, reliability, and usability
• Own the metrics layer as a single source of truth across the organization
• Ensure scalable data pipelines and strong experimentation, reporting, and analytics capabilities
• Influence broader data architecture, including shared platforms like Playgami, and partner with central data teams

Own Investment & Resource Strategy

• Own budget and investment decisions for data infrastructure and tooling
• Continuously improve organizational structure, processes, and execution velocity

Lead & Scale the impact of Analytics Engineering as a Craft 

• Maintain a high-performing Analytics Engineering team, including hiring, performance management, and career development
• Define role architecture, promotion criteria, and calibration standards 
• Establish Analytics Engineering as a Centre of Excellence, fostering community, learning, and innovation
• Monitor and improve team health, capability, and performance

What We're Looking For

• Proven experience leading and scaling high-performing data or engineering organizations
• Deep understanding of modern data platforms (pipelines, warehouses, semantic layers)
• Strong technical judgment with the ability to influence architecture and standards at scale
• Track record of building or evolving data platforms for large-scale products
• Experience improving organizational effectiveness, processes, and team performance
• Ability to operate strategically and hands-on, connecting technical decisions to business impact
• Experience driving adoption of new paradigms (e.g., AI/ML, data products, modern data stack)
• Strong cross-functional leadership and stakeholder management skills

Please ensure that the résumé/CV you attach is written in English.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

About the Role 

We are looking for a Senior .NET Developer who combines deep technical expertise with a passion for code quality, mentorship, and collaborative delivery. In this role you will lead efforts to modernize and evolve our platform, drive engineering best practices, and work alongside product, design, and data teams to ship reliable software at scale.

You bring a proven track record in .NET development, a sharp understanding of modern deployment pipelines, and the architectural awareness to build systems that scale across tenancy models and data workloads.  

Core Responsibilities 

Technical Leadership & Code Modernization 

• Lead architectural decisions for migrating a legacy single tenant .NET 8 application into an existing multitenant framework. 
• Champion clean code principles and drive technical roadmaps that reduce technical debt while maintaining delivery velocity. 
• Evaluate and introduce tooling, libraries, and frameworks that improve developer experience and system reliability. 
• Mentor junior and mid-level engineers through pairing, design reviews, and structured knowledge-sharing sessions. 

Code Review & Quality Assurance 

• Conduct constructive code reviews that uphold team standards and serve as teaching opportunities. 
• Define and enforce coding standards, naming conventions, and architectural guidelines across the team. 
• Identify systemic quality issues through review patterns and proactively propose process improvements. 
• Act as a trusted technical reviewer for high-risk or cross-cutting changes before they reach production. 

Cross-Functional Collaboration 

• Partner closely with stakeholders to translate business requirements into accurate technical estimates and clear implementation plans. 
• Collaborate with data engineers on warehouse integrations and backend data pipelines, ensuring scalable and maintainable interfaces. 
• Work with DevOps and platform teams to define deployment patterns and promote infrastructure-as-code practices. 
• Facilitate cross-team alignment through clear written communication, architectural decision records (ADRs), and documentation. 

Quality Engineering & Testing with TDD 

• Apply test-driven development (TDD) as a core engineering discipline, writing unit, integration, and contract tests before implementation. 
• Design and maintain test suites that give the team confidence to refactor and deploy frequently. 
• Champion a shift-left testing culture by embedding quality practices into every stage of development, not just QA cycles. 
• Ensure test coverage benchmarks are defined, tracked, and continuously improved. 

Communication & Process Leadership 

• Lead sprint ceremonies including planning, retrospectives, and backlog grooming with clarity and accountability. 
• Produce high-quality technical documentation including runbooks, API contracts, and onboarding guides. 
• Surface blockers and dependencies early, communicating status and risk proactively to stakeholders. 
• Contribute to a culture of psychological safety where candid, constructive feedback is the norm. 

Required Qualifications 

• 5+ years of professional software development experience with a focus on .NET. 
• .NET proficiency, including ASP.NET Core, Entity Framework Core, and the modern .NET runtime ecosystem. 
• Demonstrated experience modernizing legacy web applications — refactoring, re-architecting, or re-platforming from older monolithic web applications to modern platform fabrics. 
• Solid understanding of CI/CD pipelines, including pipeline design, automated test gating, artifact management, and deployment strategies (blue/green, canary, rolling). 
• Clear understanding of single-tenancy vs. multi-tenancy architecture patterns and the trade-offs in security, isolation, scalability, and cost. 
• Experience with test-driven development and a strong testing philosophy covering unit, integration, and end-to-end coverage. 
• Strong written and verbal communication skills; able to write clear technical documentation and lead design discussions. 

Preferred Qualifications 

• Claude code, Copilot, or the leverage of any AI platform to increase production output is a strong plus. 
• Experience with large-scale data warehousing solutions; Google BigQuery experience is a strong plus. 
• Frontend experience with Vue.js 3 — component architecture, Composition API, and state management patterns. 
• Familiarity with observability tooling such as OpenTelemetry, Prometheus, Datadog, or similar. 
• Experience working in a platform or multi-product engineering environment. 

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays

About Easyship:

Easyship is one of the world’s leading multi-carrier shipping software, built to make global eCommerce borderless. Since 2014, we’ve been on a mission to democratize logistics by removing the "black box" of international shipping costs and complexities. Trusted by over 100,000 brands, our platform provides a single "mission control" for global trade, offering access to 550+ courier services across 200+ destinations.

We are an award-winning, global team (Forbes 30 Under 30, TechInAsia’s Best Startup) with offices in London, New York, Hong Kong, and beyond. We’re growing fast, we value transparency, and we genuinely enjoy building the infrastructure that powers modern commerce. If you're ready to solve complex problems at scale, we’d love to have you join us.

Who We’re Looking For:

Easyship is a shipping technology platform that connects sellers and marketplaces to couriers. Beyond that, we also build and execute customized end-to-end shipping solutions for clients worldwide. These Logistics solutions can combine a number of partners and services, from global freight forwarding services to last-mile delivery.
We’re looking for an experienced project manager with good knowledge of ecommerce shipping, warehousing & fulfilment to oversee the delivery of these projects for our clients. Own part of the Easyship product by defining solutions in line with the product vision and strategy, coordinating with the design and engineering teams, in order to constantly create value for our users.

What would be you be responsible for:

• Contributing to defining and shaping the product roadmap for Easyship’s warehouse software, managing priorities from discovery to release and post-release.
• Supporting roadmaps that maximize business opportunities and align with Easyship's strategic goals.
• Leveraging ROI assessment methodologies to prioritize your roadmap.
• Managing delivery of features from idea to release, and measuring their success.
• Working collaboratively with global teams in various functional areas such as design, data analytics, engineering, logistics, warehouse operations and support to deliver quality products.
• Gaining a deep understanding of our warehouse operations, their needs, and improve efficiency ultimately supporting profitability outcomes.
• Staying informed about market dynamics and competitor activities to help Easyship maintain a competitive edge.

You Might Be a Good Fit If…

• You have 4+ years of Product Management experience, preferably in a supply chain/logistics heavy environment.
• You have understanding and experience with warehouse operations and shipping logistics.
• You have experience working in a metrics-driven environment.
• You have demonstrated ability to identify and prioritize between different opportunities, with a rationale for these decisions.
• A “Data-First” approach and strong analytical skills.
• You are skilled in influencing and collaborating with distributed global teams.
• You have excellent organizational, verbal, and written communication skills.
• You possess resourcefulness, resilience, self-motivation, and ability to thrive in an entrepreneurial, team-based environment with high expectations.

If you’re excited about this role but don’t meet every requirement, we’d still love to hear from you.

What we bring to the table as an employer:

• Generous remuneration and stock units
• We reimburse gym and wellness expenses so you can invest in your health
• The freedom to ‘Work from Anywhere’ for 4 weeks in a year
• Generous vacation policy, plus duvet days and mental health days to truly recharge

How we value inclusion in our recruitment practices:

Easyship is an equal opportunity employer. We make all employment decisions—recruiting, hiring, pay, benefits, training, promotion, leave, and separation—based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.

How did the story of Easyship start? Find out below.