Staff Software Engineer, Adyen

Data

Salary not provided
Python
Java
Airflow
Excel
Tensorflow
Spark
Pandas
Scikit-Learn
PyTorch
Expert level
Chicago
Adyen

Payments platform built to grow businesses

Open for applications

Adyen

Payments platform built to grow businesses

1001+ employees

FintechB2BPaymentsFinancial ServicesMobile

Open for applications

Salary not provided
Python
Java
Airflow
Excel
Tensorflow
Spark
Pandas
Scikit-Learn
PyTorch
Expert level
Chicago

1001+ employees

FintechB2BPaymentsFinancial ServicesMobile

Company mission

Adyen's mission is to make payments choices easy for merchants.

Role

Who you are

  • You are a technical leader with 10+ years of professional experience or equivalent, including 2-3 years in a technical leadership role like Staff Engineer, Principal Engineer, or Architect
  • You have extensive experience with big data frameworks, statistical testing, and productionizing machine learning algorithms
  • You have solid engineering principles of performance, code quality, data validation, governance, and discoverability
  • You have experience in the implementation of data projects like data warehouses, data lakes, operational data stores, data modeling, data architecture, as well as data integration methodologies and patterns
  • You are skilled at collaborating with a variety of people, including cross-functional teams, non-technical stakeholders, and senior leaders. You excel at bringing people together to align on solutions, and care about finding the best idea, no matter whose idea it is
  • You have excellent communication skills and are able to convey complex outcomes to a wide range of audiences
  • You are familiar with technologies such as Java, Python, Spark, PySpark/Pandas, and Airflow

What the job involves

  • We are hiring a Staff Software Engineer for the Data Connect team in Chicago
  • This team is part of Adyen's Data Solution strategy of developing data products to enhance our customer’s understanding of their shoppers
  • Within our team, you'll tackle high-impact projects that all revolve around understanding our client's customers
  • These include developing shopper recognition, attribution, and profiling products
  • You'll work closely with engineering and product teammates to quickly iterate across every phase of the product life cycle, from evaluating product-market fit to release
  • The Data Connect team is building a shopper recognition product for the biggest brands in the world
  • You will work on a low-latency, highly available service and run fancy graph algorithms in parallel over tens of billions of data points in Spark
  • Help us push the boundaries and find the optimal trade-offs between latency, recency, quality, and reliability
  • We are building products that have never been made before
  • As a critical member of the team, you will also help build the Data Connect team from scratch by partnering with Engineering and Product leaders to hire Data Scientists, Data Engineers, and Software Engineers
  • As a Staff Engineer focusing on data, you will play an instrumental role in the Data Connect team
  • This role is pivotal in advancing our data-driven initiatives and contributing to the creation and enhancement of our global data product suite
  • You will be a key voice in setting the direction of the architecture and the solution of our Data Connect product
  • You will be at the forefront of translating business needs into robust data pipelines, designing and implementing data products, and ensuring the overall quality and performance of our data solutions
  • You will collaborate closely with Data Scientists, Data Engineers, Backend and Frontend Engineers to design and build high-quality data products and tooling
  • You will obtain insights by leveraging machine learning algorithms, including clustering algorithms to group customers/shoppers, supervised and semi-supervised learning methods for inference on shopper behavior and graph analysis, and representation learning for behavior prediction and monitoring
  • You will accelerate decision-making and act as a multiplier and enabler for technical matters across the global organization
  • You will think long-term and lean on experience to aid teams that are blueprinting, defining, or redefining architectures and data models
  • You will mentor and guide engineers to improve their technical skills and make informed decisions

Application process

  • Ensuring a smooth and enjoyable candidate experience is critical for us
  • We aim to get back to you regarding your application within 5 business days
  • Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role

Our take

Adyen has been one of the most successful businesses in Europe over the last decade. When it went public in 2018 at a valuation of €7bn, it raised over €1bn and its share price popped on the first day, resulting in a valuation of €14bn. Its valuation has continued to climb by the billions.

Adyen competes with large players like PayPal, as well as outsized startups like Stripe, to power payments and provide other infrastructure to conduct digital transactions. Disrupters in the field have been buoyed by a strong rise in eCommerce activity, where some or all of a transaction by a customer is made either online or by mobile.

Adyen has been one of the companies riding the wave by helping to reduce the friction between a company choosing to take payments online, and actually being able to do it. That can take multiple steps and agreements across numerous countries — Adyen’s pitch is that it essentially handles all of it in the backend as a service for its users. Notable partners have included Autocanteen, a touchless self-checkout solution for the hospitality industry, and BILL, a small business-focused fintech platform.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Many candidates hear
back within 2 weeks

36% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Sep 2015

$55.1m

GROWTH EQUITY VC

Dec 2014

$250m

SERIES B

Total funding: $322.8m

Company benefits

  • Global exchange program
  • Weekly happy hour
  • Delicious healthy lunches
  • Phantom share package
  • Yearly trip to Amsterdam
  • Paid holidays
  • Work from home opportunities

Company values

  • We build to benefit all customers (not just one)
  • We make good choices to build an ethical business and drive sustainable growth for our customers
  • We launch fast and iterate
  • Winning is more important than ego; we work as a team - across cultures and time zones
  • We don’t hide behind email, instead we pick up the phone
  • We talk straight without being rude
  • We include different people to sharpen our ideas
  • We create our own path and won’t be slowed down by “stewards”

Company HQ

Nieuwmarkt en Lastage, Amsterdam, Netherlands

Leadership

Previously Chief Commercial Officer at Bibit (payments company) before co-founding Adyen in 2006.

Salary benchmarks

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