Senior Data Engineer Lisboa

Senior Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

1 day ago Be among the first 25 applicants

About Moon
Pay
Hi, we’re Moon
Pay. We’re here to onboard the world to Web3.

Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.

What We Do
We’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 30 million people around the world now trust our products — just take a look on Trustpilot.

We’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and
- thinking brands.

But that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.

So whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.

About the Opportunity

This is a
- on technical leadership role with the opportunity to shape the future of our data platform. You will be responsible for designing and building the core systems to unlock value from our data as we grow. We are looking for a passionate engineer who thrives on solving complex challenges, from
- level architectural design down to implementation. Your impact will come from tackling technical problems directly while also mentoring the team and influencing the
- term vision.

What you will do

As a Senior Data Engineer on our Data Platform team, you'll be a critical player in the evolution of our data platform. You will be a
- on technical expert, responsible for designing, building, and optimizing the core infrastructure and services that empower our developers and data users.

Day-to-day, you will:

• Design and develop key components of our data platform. This means getting
  - on to build and scale the robust foundations our data and AI capabilities rely on, including
  - time streaming, orchestration, data warehousing, batch ingestion and governance. We value strong experience in at least one of these core areas
• Take ownership of the estimation, planning, and execution of complex data platform projects, including new feature development and major service upgrades
• Improve and scale our existing data platform codebase, data pipelines, and Infrastructure as Code (Ia
  C), with a focus on enhancing scalability, reliability, performance, and
  - effectiveness
• Collaborate closely with engineering, analytics, and data science teams to understand their needs, gather requirements, and deliver reliable and
  - adopted platform capabilities
• Write
  - tested,
  - quality, and performant code for data processing, platform automation, and infrastructure management
• Lead the design and delivery of complex data engineering projects, partnering effectively with stakeholders to drive these from concept through to successful implementation
• Mentor other engineers on the team, helping to elevate their skills and fostering best practices in data engineering through code reviews and technical guidance
• Uphold and contribute to high standards for code quality, testing, and documentation, and proactively identify and help manage technical debt
  
  
  
  
  

What you'll be working on

Within our Data Platform team you will partner and collaborate across our Platform, Security and Data teams to shape and develop Moonpay’s data capabilities.

Key Technologies you'll use daily:

• Primarily Google Cloud Platform (GCP) – think Kubernetes, Kafka, Pub/Sub, Dataflow, Airflow, Cloud Storage, Datadog. (Experience with AWS/Azure is also great)
• Languages: we primarily use Python, Terraform, Bash, SQL
  
  
  
  
  

Types of projects and systems you'll focus on:

• Real-Time Event Streaming: Enhancing and managing our infrastructure for handling
  - volume,
  - latency event streams
• Shared Data Tooling & Frameworks: Creating reusable libraries, APIs, and services that make it easier and faster for other teams to build
  - driven applications
• Core Data Pipelines: Building and scaling the systems that ingest, process, and make data available from various sources
• Platform Automation & Observability: Improving how we deploy, monitor, and manage our data infrastructure
• Data Governance & Quality Systems: Developing tools and processes to ensure our data is compliant, reliable, secure, and
  - documented
• Data Warehousing: Designing, building, and optimizing how we store and model data for analytics and reporting
• ML Platform Enablement: Building and supporting the underlying infrastructure and data pipelines that our Machine Learning teams need
  
  
  
  
  

About You

You are a skilled and experienced engineer with a passion for building robust, scalable, and impactful data solutions. You thrive in a collaborative environment and are driven to deliver
- quality systems while helping to elevate your teammates' skills.

We’re looking for someone who brings:

• A strong track record of building and delivering significant components of a data platform and data ingestion pipelines and frameworks. You have experience developing shared services that accelerate the work of internal users like engineers, analysts, and data scientists
• Proven experience in designing and implementing complex data systems and contributing to key technical decisions
• Hands-on experience with
  - time/event-driven systems (e. g. , Kafka, Pub/Sub), data warehousing/modeling, and orchestration tools (e. g. , Airflow)
• Proficiency with Infrastructure as Code (Ia
  C) (e. g. , Terraform) for managing complex,
  - grade data infrastructure
• A
  - first attitude; you enjoy mentoring others and sharing knowledge because you believe that rising tides lift all boats
• Experience building platform capabilities that enable at least one of:
  - service,
  - time analytics, data governance, machine learning
• A continuous drive to stay current with data engineering technologies and best practices, applying them to solve
  - world problems
  
  
  
  
  

Most importantly, though, you will embody the core principles that everyone here at the Moon
Pay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…

B - Be Hungry

L - Level Up

O - Own It

C - Crypto Curious

K - Kaizen

Moon
Pay Perks
Equity package

Unlimited holidays

Paid parental leave

Annual training budget

Home office setup allowance

Monthly budget to spend on our products

Working in a disruptive and
- growing industry where the possibilities are endless

Freedom, autonomy and responsibility

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
Commitment To Diversity
At Moon
Pay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.

Moon
Pay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.

Please be aware that Moon
Pay does not request an AI-led interview without seeing a recruiter or team member from Moon
Pay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from Moon
Pay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitality, Food and Beverage Services, and Retail

Referrals increase your chances of interviewing at Moon
Pay by 2x

Get notified about new Senior Data Engineer jobs in Lisbon, Portugal.

Technical Interviewer (Data Engineering Expert)

. NET Senior Developer (. NET + Event Sourcing + Streaming)

EMEA Co
E, Data, AI and Apps Solution Architect

Product Manager, Identity and Access Management

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr