Airflow Jobs in Portugal.
All active Airflow roles based in Portugal.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Data Engineering Manager
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.
Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.
You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.
Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
What You'll Do
- Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
- Grow the teams by attracting great talent from your network.
- Foster an inclusive and caring culture where everyone can do their best work.
- Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
- Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
- Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
- Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities
Skills & Experience
- Experience working in a high growth scaleup environment
- Passionate about climate
- Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
- 2+ years experience leading and managing data engineers across multiple teams
- Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
- Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
- Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
- Strong leadership skills with the ability to mentor and coach engineers at all levels
- Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
- Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure
Nice To Have
- Experience working with maps/imagery/geospatial domains
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
Senior ML-Engineer, Finance
Share this job
Highlights:
Role: Senior ML-Engineer, Finance
Location: Portugal, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
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.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer
Share this job
Highlights:
Role: Senior ML-Engineer
Location: Portugal, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
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.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior Data Engineer
Share this job
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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analytics Team Lead, New Products
Share this job
Highlights:
Location: Portugal, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch.
Currently, we have three key focus areas:
1. P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential).
2. Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals.
3. Major Donors: Leveraging AI to identify and engage high-value donors.
At the moment, the team consists of one analyst who has already started working on the P2P product.
What You’ll Do
- Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction
- Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one
- Evaluate the performance of new product launches
- Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines
Requirements
- 5+ years of experience as a Product Analyst
- 2+ years of team management experience
- Strong knowledge of mathematical statistics and probability theory
- Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn)
- Advanced SQL skills
- Experience with BI tools (Tableau, Power BI, Metabase)
Our Tech Stack
- Python
- ClickHouse, MongoDB, PostgreSQL
- Tableau, Grafana
- Airflow
- Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
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.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, OX
Share this job
Highlights:
Location: Portugal, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.
What You’ll Do
- Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
- Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
- Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
- Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.
Requirements
- 5+ years of professional experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
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.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, Donor Portal
Share this job
Highlights:
Location: Portugal, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.
What You’ll Do
- Run A/B tests
- Identify insights in data, conduct research, and help product teams uncover growth opportunities.
- Work with retention rate and subscription/supporter LTV metrics.
- Design and build data marts.
- Develop and maintain BI dashboards.
- Handle ad-hoc requests from product teams.
Requirements
- 5+ years of professional experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
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.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, GTM
Share this job
Highlights
Location: Portugal, Remote
Language: Russian-speaking team; English proficiency required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.
What You’ll Do
- Uncover critical insights by forming hypotheses and validating them with data.
- Identify global and local trends in user behavior to inform product decisions.
- Analyze and interpret customer metrics to measure impact and value.
- Design and evaluate A/B tests with prospective customers to optimize performance.
- Handle ad-hoc analytical requests from stakeholders across the organization.
Requirements
- 4+ years of experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Excellent command of written and spoken English (C1 level or higher).
- A proactive, curious mindset with strong analytical and communication skills.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana, Metabase
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
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.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior Software Engineer, Geospatial Data
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
As a Senior Engineer, you will have a direct impact on the development of core geospatial products and internal data-processing and annotation tools at Overstory.
Your breadth of skills will allow you to set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams.
You’ll partner with product managers, external resources, and your team members to execute this vision.
Time zone requirement: Europe (GMT/WET, CET, EET) and North America (NST, AST, EST, CST, MST, PST)
What You’ll Do
- Explore best practices to combine coding agents with software craftsmanship and teach other engineers these practices
- Optimize the orchestration of several object detection and image alignment models
- Design and maintain robust data and feature pipelines for millions of geospatial entities
- Contribute to the technical vision for the development of our internal annotation and QA web applications
- Work closely with your Product Manager to discover and propose new products to solve use cases such as anticipating the impact of an outage at a particular locatio
Skills & Experience
- 5+ years of experience as a senior software engineer
- Skilled in designing ETL pipelines with near-real-time orchestration, in Python.
- Strong background building and maintaining scalable web-applications with React, FastAPI, PostgreSQL
- Experience with XP practices such as TDD or trunk based development. The team would be new to these practices
- Strong communication skills and ability to explain complex technical concepts to various audience
Nice To Have
- Experience with the Geospatial ecosystem such as PostGIS, Geopandas or Deck.GL
- Experience with Dagster, Airflow or similar orchestration frameworks
- Experience with building web-applications tailored for repeatable human or agentic workflows
- Experience working in B2B, in particular with electrical utilities
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
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! 🤳
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.
Ready to apply?
Apply to YLDAbout this job
At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.
As a JUMO Junior Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.
You will
- Be responsible for creating robust, mission critical batch and streaming data processing capabilities
- Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
- Provide feedback on team members' output, encouraging skills development within the team
- Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
- Be supported by senior leaders as you drive your own development
You will need
- BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
- Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
- Experience in streaming technologies, specifically Spark and Kafka
- Experience with cloud technologies, AWS preferred
- Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
- Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
- Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
- RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components
- Understanding of CI/CD practices
- Productive within a Linux command line environment
- Proven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure
Bonus if you have
- Experience working with messaging systems (RabbitMQ, Redis, SNS)
- Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
- Experience working with production BI environments and tools (Tableau, Superset, Looker)
We ask a lot of each other at JUMO, but we give a lot too.
You will love
- Collaborating with smart, engaging people in an inspiring work environment
- Working for impact
- Growing and learning continuously, with loads of encouragement and support
- Boldly taking risks as we navigate new challenges
- Flexible work practices enabling your best delivery
- Being autonomous and empowered to lead
- A stack of leading-edge technologies
Remote First
We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.
Diversity and Inclusion
At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.
Ready to apply?
Apply to JUMO
About this job
At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.
As a JUMO Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.
You will
- Be responsible for creating robust, mission critical batch and streaming data processing capabilities
- Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
- Provide feedback on team members' output, encouraging skills development within the team
- Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
- Mentor juniors with technical leadership
- Be supported by senior leaders as you drive your own development
You will need
- BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
- Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
- Experience in streaming technologies, specifically Spark and Kafka
- Experience with cloud technologies, AWS preferred
- Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
- Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
- Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
- RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components
- Understanding of CI/CD practices
- Productive within a Linux command line environment
- Proven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure
Bonus if you have
- Experience working with messaging systems (RabbitMQ, Redis, SNS)
- Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
- Experience working with production BI environments and tools (Tableau, Superset, Looker)
We ask a lot of each other at JUMO, but we give a lot too.
You will love
- Collaborating with smart, engaging people in an inspiring work environment
- Working for impact
- Growing and learning continuously, with loads of encouragement and support
- Boldly taking risks as we navigate new challenges
- Flexible work practices enabling your best delivery
- Being autonomous and empowered to lead
- A stack of leading-edge technologies
Remote First
We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.
Diversity and Inclusion
At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.
Ready to apply?
Apply to JUMO
About DataCamp
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.
About the role
This role is suitable for experienced Data Engineers with 3 years plus of experience, so only apply for this role if your experience matches that criteria. This is a Data Platform Engineering role sitting within our Platform Engineering department, alongside our Infrastructure and Dev Platforms teams. You will be building the data platform that the rest of DataCamp depends on, not doing analytics work for a single business unit.
DataCamp, being a data-driven organization, runs a Datalakehouse on Google Cloud's BigQuery and our reporting is created using our Looker BI tooling. This BI reporting capability helps the DataCamp leadership team steer the company OKRs and vision, and it also helps our engineering teams make data-driven decisions on everything we do. Data also helps us measure how successful our product features or initiatives have been.
To provide data analytics for all our staff, DataCamp has a completely automated data pipeline built using an "infrastructure as code" methodology with Terraform and Ansible, which allows infrastructure provisioning of all data engineering tooling. DataCamp operates a data pipeline that ingests data using Airbyte, and our Airflow cluster schedules a series of tasks each day to transform and clean our data and seed our data marts that are authored using DBT, which helps simplify reporting for each of our business units.
DataCamp currently has data marts for finance, engineering KPIs, engineering costs, and infrastructure cost, to make reporting as easy as possible for our stakeholders in those business units, and we aim to extend that offering. DataCamp's leadership team, data scientists, data analysts and engineers all require the latest datasets to be refreshed on a daily basis so they can do their daily tasks. It is expected that the data platform engineering team makes sure there are no issues with the daily refresh of data and also provides consultancy on best practices such as data ingestion, data mart design, or data product design.
A large part of this role is enabling AI agents and MCPs across the company. We are in a strong agent-first engineering push at DataCamp. That means the data platform is no longer just serving humans through Looker dashboards, it is serving Claude, Claude Code and other agents through MCP servers that expose BigQuery, dbt metadata, data marts and internal tooling in a safe, governed way. You will be building and maintaining those MCPs, shaping how teams across DataCamp get data into their agent workflows, and setting the standards for how agent-authored changes land in our data platform.
What to expect from DataCamp if you join us as a Data Engineer
It will be your role, as part of the Platform Engineering department, to work directly with our staff data engineer, the wider platform engineering teams, our data science and analytics teams, and stakeholders across product and engineering on all data initiatives, both internally and as part of DataCamp's data products.
You should join us at DataCamp if you want to be fully supported in learning how to create and maintain best-in-class data platform engineering processes in an agent-first environment. If you enjoy learning in a team environment, our data and platform experts will be on hand to provide a support network to help you in your career development. You will also be empowered to have creative freedom to shape the processes and roadmap for data platform engineering at DataCamp, including how we expose data to agents, how we govern agent access to production data, and how we measure the impact of agent-assisted data work.
You will spend a meaningful portion of your time working with and through AI agents, writing AGENTS.md specifications, building MCP connectors, designing skills, and using Claude Code day to day to move faster on pipeline work, dbt changes, and operational tasks. If all of this sounds exciting, then this could be the ideal job for you. We don't expect you to know everything when you join, but we want you to be as passionate about data and agent workflows as we are. What we expect in return is that you are naturally inquisitive, open to constructive feedback, and willing to learn and grow every day.
This role should give you a collaborative working environment to become a world-class data platform engineer and help you in your career. Our aim is for you to build the skills needed to consult and advise on data mart design, data product design, MCP architecture, and how to leverage AI agents to improve our internal processes. You will also be involved in helping our content team provide data engineering courses on Redshift, BigQuery, Snowflake, and all the different widely used data warehousing tooling. This may sound like a lot, and it is, but within our Platform Engineering department we are confident we can support you every step of the way and we can achieve these outcomes as a team.
What do we expect from you as a Data Engineer
DataCamp has a strong bias towards providing self-serve systems for our teams so they can access the data they need to make data-driven decisions. That bias now extends to agents, where teams should be able to reach data through MCPs without us becoming a bottleneck. This means the data pipeline, MCP surfaces, and data development process need to be available, governed, and functional rather than a central bottleneck in the company.
You will, under the guidance of our staff data engineer, play a key part in planning future improvements for our whole data platform: the pipeline itself, the data development process, the testing process for data changes, and the agent and MCP surfaces that sit on top of it.
We need you to be enthusiastic and proactive by owning your day-to-day work or any operational issues that occur. We aim to do 80 percent capability development via planned quarterly OKR work and 20 percent support work. This work balance can only be achieved by automating everything we do and by leaning hard on agents to remove toil. We believe Data Platform Engineering should be a force multiplier for the business — both by giving humans self-serve data and by giving every team a reliable agent-accessible path to the data they need.
To be successful in the role it is essential you know Python and can write and advise on SQL best practices. Having an understanding of data ingestion, data processing, reverse ETL, a passion for data governance, and acting as a gatekeeper for security on our data platform is also a must. Comfort working with and through AI agents, not just using them to autocomplete, but designing workflows around them is also essential.
The ideal candidate
- Is an experienced Data Engineer of 3 years plus.
- Has experience of data warehousing (e.g. BigQuery or Snowflake) and data engineering related tools (e.g. Airflow, Looker, Metabase, Fivetran, Airbyte).
- Has knowledge of cloud platforms (AWS, GCP or Azure).
- Can develop in Python and write SQL.
- Has hands-on experience using AI coding agents (Claude Code, Cursor, or similar) as part of their day-to-day engineering workflow.
- Understands what MCP is, or is willing to learn it fast, and can reason about how to safely expose data and tooling to agents.
- Understands Scrum and Kanban.
- Has excellent oral and written communication skills, including the ability to write clear specifications for agents (AGENTS.md, skills, prompts).
- Is interested in understanding and scaling complex data pipelines.
- Is interested in monitoring and self-healing systems.
- Is highly organized with a flexible, can-do attitude and a willingness and aptitude for learning.
- Improves the team with code reviews, technical discussions, and documentation — including reviewing agent-authored PRs with a critical eye.
- Is able to work collaboratively in teams and develop meaningful relationships to achieve common goals.
It's a plus if
- You have experience in dbt.
- You have experience in Docker, CI/CD, Kubernetes.
- You have experience of data marts.
- You have experience with Infrastructure as Code (Terraform, Ansible, etc.).
- You have built or contributed to an MCP server, or integrated one into an agent workflow.
- You have experience with data catalog and governance tooling exposed through agent interfaces.
- You are passionate about data science, education, and applying AI agents to real engineering problems.
Why Datacamp?
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:
- Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
- Competitive compensation: We offer a competitive salary with attractive benefits.
- Flexibility: Benefit from flexible working hours because the future is flexible!
- Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
- Global retreats: Participate in international company retreats, fostering a global team spirit.
- Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
- Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!
Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.
At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!
Ready to apply?
Apply to DataCamp
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.
We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.
While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.
Feedzai’s Pulse Engineering organization powers the Risk Engine that evaluates transactions in real-time based on strategies configured by data scientists and fraud analysts. At the same time, the Datascience Framework (DSF) provides a platform for clients to design, test, and promote these strategies into production. DSF runs complex, high-volume data workloads - Spark jobs on EMR or Kubernetes, Hadoop ecosystem components (HDFS/YARN), data ingestion pipelines via Firehose and Glue into S3, and interactive workflows through JupyterLabs and the DS API.
You:
As a Senior Data Engineer in Pulse Engineering, you will ensure the stability, scalability, and performance of DSF, working at the intersection of distributed systems, big data engineering, and developer experience. Your work will ensure that DS workloads run reliably, efficiently, and at scale, directly supporting the Risk Engine in production.
You are a Big Data specialist with deep hands-on expertise in Apache Spark and distributed data systems. You know how to tune jobs, troubleshoot cluster behaviour, and design scalable data workflows. At the same time, you’re a software engineer at heart — someone who writes clean, maintainable code, understands APIs, and can build platform components in Java with first-principles engineering discipline. You take pride in operating what you build, debugging complex distributed systems, and enabling data scientists and analysts with a platform that is reliable, predictable, and performant.
Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:
- Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
- Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution
Your Day-to-Day
- Re-architect and scale existing big data processing components powering DSF.
- Analyse workload patterns (Spark jobs, notebook activity, DS API usage) and drive performance, reliability, and cost improvements.
- Ensure stability of Spark jobs running on EMR or Kubernetes clusters.
- Operate and evolve Hadoop ecosystem components (HDFS, YARN) and Spark runtimes.
- Maintain and improve ingestion pipelines between Runtime and DSF (Firehose, Glue → S3).
- Improve the developer and power-user experience across JupyterLabs and the DS API.
- Collaborate with product engineers, data scientists, and platform teams on DSF roadmap execution.
- Own services throughout their lifecycle following DevOps practices (“you build it, you run it”) and participate in an on-call rotation for our mission-critical platform, taking end-to-end ownership to ensure 24/7 reliability, with dedicated compensation.
You Have & You Know-How
- 5+ years of experience building and operating distributed big data systems
- Strong experience with Apache Spark - tuning, debugging, orchestration
- Strong programming fundamentals (Java required; Scala or Python a plus)
- Solid knowledge of the Hadoop ecosystem (HDFS, YARN)
- Experience operating Linux-based systems in cloud environments
- Familiarity with JupyterHub/JupyterLabs workflows
- Experience designing and operating ETL/ELT pipelines
- Comfort with continuous delivery, monitoring, and on-call responsibilities
- Ability to work autonomously on complex technical challenges
Preferred/Valued Qualifications and Skills:
- Experience running Spark on EMR or Kubernetes.
- Experience with Kubernetes, AWS S3, AWS Glue, Nessie, Trino, Spark, Kafka, Iceberg and Airflow
- Experience building data pipelines or automation for data-heavy workflows
- Contributions to OSS, especially in the Big Data ecosystem
- Experience developing or maintaining DS/ML engineering platforms.
The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!
#LI-Remote #LI-MG3
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
Growth Marketing Analyst
Share this job
About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
Data at GoCardless
You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.
We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack.
You will enjoy being an analyst at GoCardless if:
- You’re looking to champion a great data culture within GC and in the wider data community.
- You enjoy collaborating and learning from people from various backgrounds and experiences.
- You want to feel proud of the work you’re doing and its impact on real customers.
Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.
You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team.
The Role
At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.
What excites you
- Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
- Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
- Assist marketing teams in A/B test design and execution and analysing results using statistical methods
- Ensure data quality, accuracy and consistency across all marketing sources
- Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).
What excites us
Essentials:
- You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role.
- You have knowledge of common marketing measurement metrics, tools & methodology.
- You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
- You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
- You are proficient in basic SQL
Nice to have:
- A basic knowledge of Python/R is advantageous but not essential
- You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.
Base salary range: €32,000 - €48,000
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical coverWork away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventureLearning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we’re going to achieve this goal, we need to build a team of ‘GeeCee’s’ that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We’ve got a long way to go, but here’s how we’re doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Ready to apply?
Apply to GoCardless
Growth Analyst
Share this job
About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
Data at GoCardless
You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.
We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack.
You will enjoy being an analyst at GoCardless if:
- You’re looking to champion a great data culture within GC and in the wider data community;
- You enjoy collaborating and learning from people from various backgrounds and experiences;
- You want to feel proud of the work you’re doing and its impact on real customers.
Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Domo, Tableau, Python, Looker, Google Cloud Platform, dbt, Airflow, Supermetrics & Demandbase amongst others.
You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team.
The Role
At GoCardless, we excel in experimentation to optimise user acquisition, activation, and retention through continuous discovery and data-driven decision making. As a Growth Analyst, you will partner across Growth, Commercial Strategy, and the wider Data & Business Systems team to design and deliver analytics that shape our self-serve business. You will be instrumental in evaluating performance across the full funnel — from acquisition to monetisation — and in generating insights that influence strategic decisions.
What excites you
- Shape commercial measurement across the funnel, collaborating with Growth Marketing, Sales, Commercial Finance and Product to track and evaluate how our acquisition, activation, and monetisation initiatives drive incremental customer and revenue growth.
- You will translate complex data into clear, actionable recommendations that inform go-to-market strategy, pricing, and self-serve optimisation
- Be responsible for defining how we understand return on investment & growth across growth initiatives
- Proactively identify the biggest growth opportunities in our key channels by delivering deep analysis into customer segments, lifetime values (LTVs), diminishing returns etc and helping the team to prioritise and implement.
- Applying quantitative analysis, generate actionable insights and drive the adoption of your proposed changes in marketing by influencing stakeholders
- Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Amplitude), Automation (Python), AI (Gemini, Claude)
What excites us
- You bring strong analytical skills with experience linking data to revenue outcomes — whether through funnel analysis, cohort performance, pricing impact, or channel economics.
- You can distil complex analysis into clear recommendations for commercial and non-technical stakeholders, influencing strategy across Growth, Marketing, and Product.
- You have a bias for experimentation and discovery, always seeking ways to uncover new opportunities to improve acquisition, activation, retention, and monetisation.
- You have a background working in similar commercial analytics roles and have a deep understanding of the domain & and are very knowledgeable of growth strategies
- You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the commercial strategy
- You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design
- You have extensive experience with data visualisation tools mentioned above and demonstrate storytelling ability with data in order to influence decision making and growth understanding
- You have advanced SQL skills and intermediate Python/R skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.
Base salary range: €41,600 - €62,400
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical coverWork away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventureLearning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we’re going to achieve this goal, we need to build a team of ‘GeeCee’s’ that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We’ve got a long way to go, but here’s how we’re doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Ready to apply?
Apply to GoCardless
The Opportunity
As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.
You will report to the Director of GTM Data and act as a strategic thought partner to Go-to-Market teams, Marketing, Product, Finance, Design, Engineering, and executive leadership, ensuring alignment between data insights and critical business decisions.
What You'll Do
Experimentation & Causal Strategy
- Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
- Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
- Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
- Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
- Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.
Technical Leadership & Influence
- Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
- Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
- Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.
About You
Qualifications
- Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
Required Technical Expertise
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
- Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
- Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.
Key Attributes
- Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
Company Culture:
- We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
- Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
- Check out our LinkedIn to learn more.
Benefits:
- Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
Ready to apply?
Apply to PandaDoc
The Opportunity
As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.
You will report to the Director of Product Data and act as a strategic thought partner to Product, Finance, Design, Engineering, Product Marketing, and executive leadership, ensuring alignment between data insights and critical business decisions.
What You'll Do
Experimentation & Causal Strategy
- Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
- Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
- Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
- Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
- Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.
Technical Leadership & Influence
- Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
- Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
- Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.
About You
Qualifications
- Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
Required Technical Expertise
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
- Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
- Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.
Key Attributes
- Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
Company Culture:
- We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
- Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
- Check out our LinkedIn to learn more.
Benefits:
- Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
Ready to apply?
Apply to PandaDoc
Senior Data Consultant (m/f/*)
Share this job
Our Data & Engineering team is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Portugal, supporting our global growth.
As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.
WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Portugal)
- The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
- Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
- Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
- Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
- A personalized development plan and professional advancement opportunities
- Access to learning resources — paid certifications, unlimited Udemy Business, and more
- Local, virtual, and global team events to connect with colleagues worldwide
WHAT YOU’LL DO
- Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
- Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
- Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
- Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
- Ensure data quality, governance, and security best practices within Databricks and related ecosystems
- Support pre-sales and discovery activities by identifying client needs and defining technical approaches
- Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
- Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics
WHAT YOU’LL BRING
- Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
- Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
- Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
- Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
- Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
- Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
- Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
- Professional proficiency in English (C1 level, written and spoken)
Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com
ABOUT US
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency
Senior Data Engineer - Databricks (m/f/*)
Share this job
Our Engineering community is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Portugal, supporting our global growth.
As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Portugal)
- A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
- Contribute your ideas to our unique projects and make an impact by turning them into reality
- Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup
- Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
- Individual development plan, professional development opportunities
- Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
- Local, virtual, and global team events, in which UT colleagues become acquainted with one another
WHAT YOU’LL DO
- Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.
- Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.
- Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.
- Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows.
- Establish and enforce best practices for data quality, governance, and security within the Databricks environment.
- Mentor junior engineers and contribute to the evolution of the team’s Databricks expertise.
WHAT YOU’LL BRING
- Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.
- Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
- Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.
- Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).
- A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.
- Professional English communication skills (C1-level, written and spoken).
Did we pique your interest, or do you have any questions?
We want to hear from you: contact us at recruiting@ultratendency.com
ABOUT US
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency