Senior Data Engineer at SumUp

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kafka, Apache Spark, Apache Flink, Snowflake, Kubernetes, Infrastructure as Code, Terraform, Data Pipelines, Mentoring, Observability, Site Reliability Engineering, Distributed Databases, ETL, Data Services, Data Cataloging

Industry

Financial Services

Description

Our Platform teams are responsible for connecting with engineers across the organization to enable SumUppers to build, run, and communicate innovative and cohesive products & services - globally, at scale. We are looking for a Senior Software Engineer to join our Data Streaming team. In this role, you will be a key player in building and scaling our streaming infrastructure to support critical, near-real-time data processing for our global business. If you are passionate about building robust, reliable, and scalable systems, we want to hear from you. What you’ll do Build and scale our streaming infrastructure using technologies like Kafka, Apache Spark/Flink, and Snowflake. Ensure the reliability and security of the infrastructure using Kubernetes (k8s) and Infrastructure as Code (IaaC). Contribute to the architecture and define best practices for our Data Platform. Collaborate with data producers and consumers across the company to build seamless, efficient data pipelines. Mentor and upskill your fellow SumUppers on best practices for Kafka and stream processing. Provide on-call support for our critical Data Platform infrastructure. You’ll be great for this role if 5+ years of experience as a Software or Infrastructure Engineer. Solid experience in at least one programming language like Java, Go, or Python. Strong experience with Terraform. Proven experience maintaining critical data infrastructure for a large user base. Direct experience with Kafka and/or data processing engines like Apache Flink or Spark. Knowledge of observability stacks such as Grafana, Prometheus, or Honeycomb. Nice to have: Site Reliability Engineer (SRE) experience. Experience with distributed databases or data warehouses. Knowledge of ETL/data services like Airflow, DBT, Snowflake, or DataBricks. Familiarity with data cataloging tools. Why you should join SumUp We’re a truly global team of 3000+ people from 92+ countries, spread across 4 continents. You'll have the opportunity to make an impact as we work in flat hierarchies. You'll attend global off-sites and regular team events. You’ll receive a budget for attending conferences and external training. We offer a corporate pension scheme, 28 days’ paid leave, free German and yoga classes, subsidised Urban Sports Club membership, and other great benefits. About SumUp We believe in the everyday hero. Small business owners are at the heart of all we do, so we're creating tools that help them run their businesses. With a founder’s mentality and a 'team-first’ attitude, our diverse teams across Europe, South America, and the United States work together to ensure that the small business owners we partner with can be successful doing what they love. SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, or any other basis protected by applicable laws or prohibited by company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. SumUp will not accept unsolicited resumes from any source other than directly from a candidate. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.

Responsibilities

Build and scale the streaming infrastructure to support near-real-time data processing. Collaborate with data producers and consumers to create efficient data pipelines.