Senior Data Engineer
atSafeGlobal
Oct 15
🏄 About Safe:
Safe is the most trusted decentralized custody protocol and the flagship wallet for the ecosystem on Ethereum and the EVM. Our team is on a mission to unlock digital ownership for the world. By building robust and accessible tools, we are fixing some of web3’s biggest challenges. For more information about Safe, check out our website.
You’ll be joining a growing team that currently includes 50+ people overall. This role is based in Zug (🇨🇭). Most of our team is based in Berlin, Germany (🇩🇪), but we also have awesome teammates in Spain 🇪🇸, Portugal 🇵🇹, UK 🇬🇧, and other countries.
Senior Data Engineer
🏄 About Safe and the team:
Safe is the account abstraction leader on Ethereum and the EVM with the most secure smart wallet infrastructure and platform. Our mission is to accelerate the transition to smart accounts. For more information about Safe, check out our website.
You’ll be joining a growing team that currently includes 90+ people overall. Most of our team is based in Berlin, Germany (🇩🇪), but we also have awesome teammates in Switzerland (🇨🇭), Spain (🇪🇸), Portugal (🇵🇹) and other countries.
💻 About the role:
As a Senior Data Engineer within Safe, you will contribute to a pioneering project at the heart of web3 innovation, working on core components that are shaping the future of decentralised finance. You will drive the enhancement of our data pipelines and data warehouse, build data orchestrations to improve the automation of our key pipelines and unlock deeper insights and more impactful analyses across multiple teams at Safe.
🗃️ What you will be doing:
Continuously improve and maintain the data integrations within our existing dashboards to ensure they provide accurate and up-to-date insights.
Develop new data pipelines tailored for our data analysts, enabling them to access, manipulate, and analyze data more efficiently.
Partner with Dune to create new, scalable spells that can handle increasing amounts of on-chain data and deliver more granular insights.
Use advanced SQL techniques to manipulate and analyze data, contributing to the continuous improvement of our data models and analyses.
Expand our data warehouse by incorporating data from Safe{Wallet}, Safe{Core}, Safe{Networks}, and onchain sources.
Write scripts and code to programmatically fetch and process analytics data, improving the automation and efficiency of our data workflows.
Set up data orchestrations using tools like Airflow to automate key data pipelines to reduce manual effort and enhance data processing speed.
Integrate marketing data into our data warehouse to comprehensively evaluate marketing campaign success, bridging the gap between marketing efforts and product performance.
Play an active role in defining and executing our data strategy, using your data engineering expertise to enhance the speed, efficiency, and scalability of our insights.
🤖 Tech Stack:
Onchain data: Dune, Allium, Nansen, Spindl
Offchain data: Google Analytics, BigQuery, Looker, various APIs
General stack: DGCP, Python, Relational databases (SQL, PostgreSQL), dbt
🎒 What you will bring:
Proficient with Data Orchestration Tools: Experienced in using tools like Airflow for orchestrating data workflows.
Familiarity with Cloud Platforms: Experience with cloud-based data services, particularly within GCP or AWS.
Skilled in Data Modeling: Proficient in building data models with tools like dbt.
Experience with DevOps Practices: Familiar with CI/CD practices for deploying, testing, and building data pipelines.
Experience with Onchain Analytics Tools: Comfortable using tools like Dune Analytics for fetching onchain data using advanced queries, optimizing existing ones, and creating new schemas from scratch.
Proficiency in Scripting Languages: Able to code in at least one scripting language (e.g., Python) for fetching and processing data from APIs.
➕ Nice to have:
Familiarity with tools like Apache Spark or Hadoop for processing large-scale data.
Experience with platforms like Alchemy, The Graph, or Spindl for more in-depth blockchain data analysis.
Experienced in setting up GA, adding events, and making informed decisions on what to track.
Familiarity with tools like HubSpot, Segment, or Amplitude for integrating and analyzing marketing data.
Basic understanding of smart contract development (e.g., Solidity) and use of tools like Etherscan for blockchain analysis.
Understanding of smart-contract wallets and Account Abstraction
🎁 What we can offer you:
🏝️ 30 vacation days as standard: Take the time off you need no matter where you work. All contributors get 30 vacation days, with public holidays in addition.
💻 Home Working Budget: Personalize your home office with a dedicated budget! Choose from a sleek desk, top-notch headphones, a comfy chair, and more. We're committed to creating a workspace that inspires you.
🔥 State-of-the-Art Hardware: Enjoy the latest laptop of your choice! We understand the importance of having the right tools, and we provide you with the best-in-class hardware for seamless productivity.
📚 Continuous Learning: Invest in yourself with our personal education and conference budgets. Stay ahead of the curve by attending conferences, workshops, and courses that align with your professional growth.
🎨 Innovative Fridays: Unleash your creativity! Spend Friday afternoons diving into research or working on a side project within our exciting ecosystem. It's the perfect opportunity to explore new ideas and contribute to innovative endeavours.
⌛ Flexible Work Schedules: Embrace work-life balance with our flexible working schedules. We understand that everyone has unique needs, and our hybrid work policies empower you to choose a working style that suits you best.
Please apply with your English resume.
Variety is the spice of life and a celebrated component of our culture. At Safe, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be an equal opportunity employer: all qualified applicants are considered for positions regardless of race, ethnic origin, age, religion or belief, marital status, gender identification, sexual orientation, or physical ability.
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