About the Role We are at a pivotal scaling point where our data ambitions have outpaced our current setup, and we need a Data Engineer to architect the professional-grade foundations of our platform.
\nThis role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products.
\nYour primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.
\nYour 12-Month Journey During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.
\nWithin 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.
\nAfter 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.
\nWhat You’ll Be Doing Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.
\nDeploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.
\nChampion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.
\nTechnical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.
\nCollaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.
\nWhat You Bring Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments. The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem. Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform). Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug. DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments). Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code. Comfortable in a fast-paced environment Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management. Fluency in English, both written and spoken, at a minimum C1 level
\nWhat We Offer Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam A chance to be part of and shape one of the most ambitious scale-ups in Europe Work in a diverse and multicultural team €1,500 annual training budget plus internal training Pension plan, travel reimbursement, and wellness perks 28 paid holiday days + 2 additional days to relax in 2026 Work from anywhere for 4 weeks/year An inclusive and international work environment with a whole lot of fun thrown in! Apple MacBook and tools €200 Home Office budget
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\nAs a Data Engineer at Figma, you will be responsible for building and maintaining scalable data pipelines that connect various cloud data sources. You will develop a deep understanding of Figma's core data models and optimize data pipelines for scale. You will partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
\nYou will work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences. You will establish best practices for the development of specialized data sets for analytics and modeling.
\nWe'd love to hear from you if you have:
\nWhile not required, it's an added plus if you also have:
\nAt Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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\nBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.
\nBrex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
\nWorking at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
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\nOur Scientists and Engineers work together to make data , and insights derived from data , a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
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\nThis role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
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\nThis engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
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\nYour primary focus will be on building scalable data pipelines using Airflow to orchestrate data workflows that ingest, transform, and deliver data from various sources into Snowflake and Databricks. You will also design and implement data models in Snowflake that support analytics, reporting, and ML use cases with a focus on performance, reliability, and scalability.
\nIn addition, you will develop infrastructure as code using Terraform to automate and manage cloud resources in AWS, ensuring consistent and reproducible deployments. You will monitor data pipeline health and implement data quality checks to ensure accuracy, completeness, and timeliness of data as business needs evolve.
\nYou will also optimize data processing workflows to improve performance, reduce costs, and handle growing data volumes efficiently. Troubleshooting and resolving data pipeline issues, working through ambiguity to get to the root cause and implementing long-term fixes will be a key part of your role.
\nAs a Data Engineer, you will bridge gaps between data and the business by working with cross-functional teams across the US and India office to understand requirements and translate them into robust technical solutions. You will create comprehensive documentation on data pipelines, data models, and infrastructure, keeping documentation up to date and facilitating knowledge transfer across the team.
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\nWhat we're all about.
\nIt isn't often you get to be part of a tech company that has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we can go.
\nThe opportunity.
\nOur Quantexa Delivery team is all about contextualizing data. As a data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa's innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there's always a new challenge around the corner.
\nWhat you'll be doing.
\nRequirements
\nWhat you'll bring.
\nBenefits
\nOur perks and quirks.
\nWhat makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.
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\nIt isn't often you get to be part of a tech company that has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we can go.
\nThe opportunity.
\nOur Quantexa Delivery team is all about contextualizing data. As a data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa's innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there's always a new challenge around the corner.
\nWhat you'll be doing.
\nRequirements
\nWhat you'll bring.
\nBenefits
\nOur perks and quirks.
\nWhat makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.
\nWe offer:
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\nThe opportunity.
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