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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!
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:
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.
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
What excites us
Essentials:
Nice to have:
We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.
Salary range: the expected base salary range for this position is between €45,600 - €68,400.
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.
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.
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
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
Location: UK or Portugal
Department: Engineering
Employment Type: Permanent
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.
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.
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.
Benefits you'll get:
Get a glimpse of what it's like working at YLD! 🤳
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 YLDRiskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Science Team Leader, you will lead a talented team of data scientists while maintaining hands-on involvement in complex technical projects. You will be responsible for recruiting, mentoring, and developing team members while ensuring the delivery of high-impact machine learning solutions for fraud detection and risk assessment.
Technical Leadership
Team Leadership & Management
Required
Advantages
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
Share this job
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!
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:
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.
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
What excites us
Essentials:
Nice to have:
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.
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.
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
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
Share this job
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!
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:
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.
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
What excites us
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.
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.
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
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
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
WHAT YOU’LL DO
WHAT YOU’LL BRING
Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com
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
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.
Did we pique your interest, or do you have any questions?
We want to hear from you: contact us at recruiting@ultratendency.com
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
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