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For Companies At a Glance
- Tasks: Design and scale data platforms for real-time payments and analytics.
- Company: Join WalletConnect, a leading Web3 infrastructure team powering digital ownership.
- Benefits: Enjoy remote work, generous PTO, and a budget for your home office.
- Other info: Collaborate with a global team and grow your career in a dynamic environment.
- Why this job: Be at the forefront of on-chain payments and make a real impact.
- Qualifications: 5+ years in data engineering with strong skills in Python and SQL.
The predicted salary is between 48000 - 72000 £ per year.
About WalletConnect
WalletConnect is one of the core infrastructure teams in Web3 — we build the connectivity layer that lets wallets and apps communicate securely across blockchains. Since launching in 2018, we’ve grown into a network of 75,000+ apps, 700+ wallets, and 50+ million users. Our mission is to power the financial internet by making digital ownership and payments interoperable and accessible. We’ve recently launched WalletConnect Pay — a payments solution that lets merchants and payment providers leverage blockchain rails for new payment experiences, like stablecoin checkout, payouts, and deposits.
Backed by $38M from investors like Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, and Uniswap Labs, we’re a global, remote-first team that values openness, simplicity, innovation, and ownership.
Why Now
We’re entering our most ambitious chapter yet. WalletConnect Pay is an end-to-end crypto and stablecoin payment method built on the world’s largest wallet network — already embedded in Stripe, Coinbase Commerce, Shopify, MoonPay, Shift4, and BitPay, with a landmark partnership with Ingenico bringing stablecoin payments to 40M+ terminals across 120+ countries. As WalletConnect scales into payments, data is becoming foundational — not optional. From wallet connection success rates and transaction health to financial reconciliation, merchant reporting, and operational monitoring, our data systems must be as reliable as the payment flows they track. We’re building a next-generation data platform to support real-time payments infrastructure, developer tooling, and product analytics.
This hire joins at the moment we’re moving from MVP pipelines to scalable production architecture, and we need a senior engineer who can help design and operate the data foundation behind a global payments network.
The Role
This is a Senior Data Engineer position on the Data Engineering team. You’ll work closely with the Data Engineering Lead to design and scale the data platform powering WalletConnect’s payments infrastructure and ecosystem analytics. This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows. You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it.
Day-to-day, you’ll work with Python, SQL, ClickHouse, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.
Requirements
- Data Platform & Pipeline Engineering: Design, build, and operate scalable data pipelines for WalletConnect payments and platform data — event-driven, near real-time processing across high-volume transaction flows. Maintain and evolve the real-time data platform, moving it from MVP pipeline to scalable production architecture. Model and process transactional and ledger-style data — financial reconciliation, merchant reporting, wallet fee breakdowns, and settlement tracking. Contribute to improving the overall data platform architecture as requirements grow.
- Data Quality & Observability: Ensure data accuracy, freshness, and observability across critical workflows — payments flow correctness, wallet connection success rates, and transaction health. Build monitoring and alerting that meets the reliability bar required for financial data systems. Own data quality across the pipeline — from ingestion through transformation to downstream consumption.
- Backend Services & Data Access: Develop backend services that expose data to internal platforms, APIs, and downstream systems so teams across the company can consume it. Support downstream use cases including financial reconciliation, merchant reporting, operational monitoring, and product analytics. Collaborate with product, engineering, and infrastructure teams to onboard new data use cases and ensure clean integration points.
- Ownership & Operations: Own and operate the systems you build, including deployment, monitoring, and reliability. Collaborate closely with the Data Engineering Lead on architecture decisions and platform evolution. Contribute to engineering standards, documentation, and operational playbooks for the data platform.
Tech Stack
Our current stack includes Python, SQL, ClickHouse, Airflow, dbt, Grafana, and Preset / Deepnote for data visualization. The architecture is event-driven with near real-time processing. Rust is a plus but not required. We’re also experimenting with AI-assisted monitoring and data tooling as part of our platform evolution.
What You Bring
- Must-Haves: 5+ years of experience in data engineering or data infrastructure — you’ve built, shipped, and operated production data systems. Strong experience building data pipelines and production data platforms — ingestion, transformation, modelling, and serving. Comfortable using AI-assisted development tools/agents, with strong discipline in reviewing, validating, and productionizing generated code. Expertise in SQL and large-scale data processing. Experience with modern data stack tools: Airflow, dbt, ClickHouse, BigQuery, Snowflake, Athena, or similar. Experience working with event-driven architectures and real-time or near real-time data processing. Strong programming skills in Python or similar backend languages. Experience designing systems with data quality, monitoring, and reliability in mind — you treat data correctness as a first-class concern. Ability to operate independently and own production systems end-to-end in a remote, async team.
- Nice-to-Haves: Experience in fintech, payments, or financial infrastructure — reconciliation, settlement, ledger reporting, or merchant data. Experience working with high-volume event data at scale. Familiarity with ledger-style or transactional data models. Exposure to Web3, blockchain, or crypto ecosystems — on-chain data, wallet analytics, or token transaction flows. Rust experience or willingness to learn. Experience building data platforms in fast-growing startups where you’ve shaped the architecture from early stages.
Benefits
- Fully remote position with a budget for your home office or work environment.
- Regular team offsites to incredible locations around the world.
- Opportunities to travel to conferences and community events.
- Generous PTO and parental leave.
- Meaningful Learning & Development budget.
- Competitive compensation package including salary, equity, and potentially tokens.
- Healthcare coverage for US-based team members.
- The chance to build at the forefront of on-chain payments with one of the most recognised companies in Web3.
Senior Data Engineer employer: WalletConnect
Contact Detail:
WalletConnect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at WalletConnect. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to highlight them. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for the interview by understanding WalletConnect’s mission and tech stack. Tailor your answers to show how your experience aligns with their goals and challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data pipelines, real-time processing, and any relevant tech stack tools like Python and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to WalletConnect's mission. Share specific examples of your past work that align with our goals in building scalable data platforms.
Showcase Your Projects: If you've worked on any interesting data projects, don’t hesitate to mention them! Whether it's a personal project or something from a previous job, we love seeing how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at WalletConnect
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like Python, SQL, ClickHouse, and Airflow. Be ready to discuss your experience with these technologies and how you've used them to build scalable data pipelines or real-time processing systems.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles, especially related to data quality and observability. Discuss how you ensured data accuracy and reliability in high-volume transactional workflows, as this is crucial for WalletConnect's mission.
✨Understand the Business Context
Research WalletConnect and its role in the Web3 ecosystem. Be prepared to discuss how your work as a Senior Data Engineer can contribute to their goals, particularly around payments infrastructure and financial reconciliation.
✨Demonstrate Ownership and Collaboration
Highlight your ability to own systems end-to-end and collaborate with cross-functional teams. Share experiences where you’ve worked closely with product and engineering teams to support new data use cases, showcasing your teamwork and leadership skills.