🇩🇪 Berlin, Germany · 12h ago
Senior Data Engineer
WalletConnect
LinkedInseniorEnglish-friendly
About WalletConnectWalletConnect 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.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.The RoleThis 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.As WalletConnect scales into payments, data is 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.RequirementsData Platform & Pipeline EngineeringDesign, build, and operate scalable data pipelines for WalletConnect payments and platform data — event-driven, near real-time processing across high-volume transaction flowsMaintain and evolve the real-time data platform, moving it from MVP pipeline to scalable production architectureModel and process transactional and ledger-style data — financial reconciliation, merchant reporting, wallet fee breakdowns, and settlement trackingContribute to improving the overall data platform architecture as requirements growData Quality & ObservabilityEnsure data accuracy, freshness, and observability across critical workflows — payments flow correctness, wallet connection success rates, and transaction healthBuild monitoring and alerting that meets the reliability bar required for financial data systemsOwn data quality across the pipeline — from ingestion through transformation to downstream consumptionBackend Services & Data AccessDevelop backend services that expose data to internal platforms, APIs, and downstream systems so teams across the company can consume itSupport downstream use cases including financial reconciliation, merchant reporting, operational monitoring, and product analyticsCollaborate with product, engineering, and infrastructure teams to onboard new data use cases and ensure clean integration pointsOwnership & OperationsOwn and operate the systems you build, including deployment, monitoring, and reliabilityCollaborate closely with the Data Engineering Lead on architecture decisions and platform evolutionContribute to engineering standards, documentation, and operational playbooks for the data platformTech StackOur 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 BringMust-Haves5+ years of experience in data engineering or data infrastructure; you've built, shipped, and operated production data systemsStrong experience building data pipelines and production data platforms, including ingestion, transformation, modeling, and servingComfortable using AI-assisted development tools/agents, with strong discipline in reviewing, validating, and productionizing generated codeExpertise in SQL and large-scale data processingExperience with modern data stack tools: Airflow, dbt, ClickHouse, BigQuery, Snowflake, Athena, or similarExperience working with event-driven architectures and real-time or near real-time data processingStrong programming skills in Python or similar backend languagesExperience designing systems with data quality, monitoring, and reliability in mind. You treat data correctness as a first-class concernExposure to Web3, blockchain, or crypto ecosystems; on-chain data, wallet analytics, or token transaction flowsAbility to operate independently and own production systems end-to-end in a remote, async teamNice-to-HavesExperience in fintech, payments, or financial infrastructure — reconciliation, settlement, ledger reporting, or merchant dataExperience working with high-volume event data at scaleFamiliarity with ledger-style or transactional data modelsRust experience or willingness to learnExperience building data platforms in fast-growing startups where you've shaped the architecture from early stagesBenefitsFully remote position with a budget for your home office or work environmentRegular team Offsites to incredible locations around the worldOpportunities to travel to conferences and community eventsGenerous PTO and parental leaveMeaningful Learning & Development budgetCompetitive compensation package including salary, equity, and potentially tokensThe chance to build at the forefront of onchain payments with one of the most recognised companies in Web3Sourced from LinkedIn. 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