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- Tasks: Lead data engineering teams to build and operate foundational data infrastructure.
- Company: GoCardless, a global bank payment company transforming how businesses collect payments.
- Benefits: Flexible hybrid working, equity options, wellness days, and dedicated support for your wellbeing.
- Why this job: Make a real impact in a fast-paced environment while developing your leadership skills.
- Qualifications: Experience in managing data engineering teams and strong technical knowledge of data platforms.
- Other info: Join a diverse team committed to sustainability and inclusive culture.
The predicted salary is between 60000 - 84000 £ per year.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.
We are looking for an experienced Engineering Manager to lead our Data and Analytics Platform teams. You will be accountable for building and operating the foundational data infrastructure that powers decision-making across GoCardless, while developing a high-performing team of data engineers. You'll sit within our Data and Business Systems group and will be responsible for two critical platform areas:
- Core Data Platform - providing unified, governed data ingress and movement into the GoCardless data estate, including batch ingestion, CDC replication, streaming infrastructure, and schema validation.
- Analytics Platform - delivering trusted analytics, shared metrics, and decision support through analytical storage, semantic layers, governance, and self-service tooling.
This is a leadership role that balances technical accountability with people management. You'll own the reliability, standards, and evolution of these platforms while growing the engineering talent that builds and operates them.
What excites you:
- You’ll be accountable for your teams delivering against their platform objectives, owning the technical vision and roadmap for Core Data Platform and Analytics Platform.
- This means guaranteeing reliability and resilience, defining supported patterns and governance frameworks, and managing platform costs and efficiency.
- You’ll enable self-service adoption through documentation and tooling that allow teams to ship data solutions confidently.
As a people leader, you’ll:
- Manage data engineers across both teams, conducting regular 1:1s and performance reviews.
- Attract and retain talent through recruitment and development, creating a high-trust environment with psychological safety where people can do their best work.
- Align your teams to Group objectives with clear operational metrics and SLOs, consistently removing blockers and resolving complex cross-functional issues.
- Provide regular, transparent reporting to Group leadership on platform health, adoption, and strategic progress.
What excites us:
- Engineering management experience: Proven track record managing and developing data or platform engineering teams, with direct line management responsibility.
- Data platform expertise: Deep technical understanding of data infrastructure, including ETL/ELT pipelines, data warehousing, streaming systems, and cloud data platforms.
- Platform thinking: Experience building self-service platforms with clear contracts and abstractions, not just delivering one-off solutions.
- Stakeholder management: Ability to coordinate with technical and non-technical stakeholders, translating business needs into platform capabilities.
- Operational excellence: Track record of owning reliability, incident response, and operational metrics for production systems.
Technical Skills
- Strong understanding of modern data engineering patterns and technologies.
- Experience with SQL, data modelling, and dimensional modelling concepts.
- Familiarity with infrastructure as code, CI/CD practices, and platform tooling.
- Understanding of data governance, security, and compliance requirements.
The Good Stuff!
- Wellbeing: Dedicated support and medical cover to keep you healthy.
- Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period.
- Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team.
- Equity: All permanently employed GeeCees get equity to share in our success.
- Parental leave: Tailored leave to support your life’s great adventure.
- Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.
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 make it happen, working with urgency and taking personal accountability for getting things done. 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. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision.
Diversity & Inclusion: We’re building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences.
Sustainability at GoCardless: We’re committed to reducing our environmental impact and leaving a sustainable world for future generations.
Engineering Manager, Data Lisbon, Portugal employer: GoCardless
Contact Detail:
GoCardless Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, Data Lisbon, Portugal
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research GoCardless and understand their products and values. Tailor your answers to show how your experience aligns with their mission and the role of Engineering Manager.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or examples of past projects, bring them along to the interview. Demonstrating your technical expertise can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to follow up! After your interview, shoot a quick thank-you email to express your appreciation and reiterate your interest in the role. It’s a simple way to keep yourself top of mind.
We think you need these skills to ace Engineering Manager, Data Lisbon, Portugal
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience in managing data engineering teams and your technical expertise in data platforms. We want to see how your skills align with what we’re looking for!
Showcase Your Leadership Style: In your application, share examples of how you've built high-performing teams and fostered a positive work environment. We value psychological safety and collaboration, so let us know how you create that in your teams!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your achievements and experiences. We appreciate clarity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at GoCardless
✨Know Your Data Inside Out
Make sure you have a solid understanding of data engineering patterns and technologies. Brush up on your knowledge of ETL/ELT pipelines, data warehousing, and cloud platforms. Being able to discuss these topics confidently will show that you're the right fit for leading the Data and Analytics Platform teams.
✨Showcase Your Leadership Skills
Prepare examples of how you've managed and developed engineering teams in the past. Highlight your experience with conducting performance reviews and fostering a high-trust environment. GoCardless values psychological safety, so be ready to discuss how you create an inclusive atmosphere where your team can thrive.
✨Align with Company Values
Familiarise yourself with GoCardless's core values and be prepared to discuss how they resonate with you. They start with 'why' and act with integrity, so think about how you've applied similar principles in your previous roles. This will demonstrate that you’re not just a technical fit but also a cultural one.
✨Prepare for Stakeholder Conversations
Since this role involves coordinating with both technical and non-technical stakeholders, practice articulating complex ideas in simple terms. Think of examples where you've successfully translated business needs into technical solutions. This will showcase your ability to bridge the gap between different teams.
