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.

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.

What is this role about?

As the Lead Machine Learning Engineer at Bondora, you will be the backbone of our Data Science delivery. Your mission is to build the robust infrastructure that powers automated model pipelines, ensures deployment reliability, and governs the full ML lifecycle from experimentation to production.

This is a strategic and hands on engineering role. You will collaborate closely with Data Science, Data Engineering, and Development teams to remove friction, improve scalability, and bring stable, high quality ML solutions into everyday decision making.

You will guide the evolution of our ML engineering stack, lead high impact initiatives, and mentor engineers while shaping a culture of technical excellence 🌿

Your main responsibilities 🎯

• Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
• Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
• Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
• Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
• Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
• Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
• Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
• Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

What would ensure success in this role?💪

• Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle management.
• Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or Prefect.
• Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline reliability.
• Expertise in model governance, versioning, auditability, and operationalization from research to production.
• Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best practices.
• Experience leading cross functional initiatives and mentoring engineers.
• Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new technologies.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

1️⃣ Meet Kerli H., our recruiter, for an initial conversation about your background and ambitions.
2️⃣ Complete our personality and logic assessments via Alva Labs.
3️⃣ Meet Rafael, our Head of Data Science.
4️⃣ Complete case study.
5️⃣ Chat with Juris, our Chief Credit Officer.
6️⃣ If everything aligns, welcome to Bondora 🎉