Senior Data Engineer

***Applications in English***

SumUp is a digital ecosystem dedicated to local entrepreneurs. Our range of solutions answers all our merchants' challenges; from reservations, through click and collect, deliveries and digital payment, to the management of their business thanks to intuitive and comprehensive financial analytics.

As a (Senior) Data Engineer in the Global Data Team in Operations, you’ll play a key part in helping Operations build efficient and effortless Customer Support. You’ll be part of our central data team providing the infrastructure and automation that are the cornerstone of our merchant care strategy, allowing analysts and data scientists to derive value from data in a streamlined manner. 

Some of the tools and technologies used in the team:

• AWS Cloud for all analytics backend infrastructure
• Kubernetes for data science backend infrastructure
• Airflow, dbt for data modelling and orchestration
• Snowflake for data warehousing
• Tableau for visualisation
• Python
• Kafka for streaming data

What you’ll do:

• You will be part of our data team that creates the frameworks enabling all the teams at SumUp to ingest, transform, analyse and consume data at scale
• Work closely with the data scientists, analytics engineering and data analysts in providing guidance and best practices on how to efficiently store, access, consume and expose data for their needs
• Build and maintain the infrastructure for data scientists and analysts that allow them to deliver insights efficiently, effectively and with high-quality
• Deploy machine learning models to automate and optimise the customer support processes
• Work closely with the central platform team to set the standards for infrastructure and tooling within the tribe

You’ll be great for this role if:

• You are ideally degree educated in computer science, engineering or comparable work experience
• You have a minimum of 3 years of experience in a similar role including Software development, ML engineering or Data engineering
• You have a solid understanding about data structures, algorithms and problem solving around scalability
• You are curious and interested in both batch and streaming data use cases, big data, data governance, data models, data insights - or all of the above!
• You have solid Python and SQL skills
• You have an understanding (and open to learn more) about testing strategies, DevOps, collaborative coding (pair/mob-programming)
• You have experience in some or all of the following technologies: AWS, Airflow, Docker, Kubernetes, Kafka, Snowflake, Terraform, Github Actions, DBT
• You have a working proficiency and communication skills in verbal and written English
• You have the ability to build positive relationships with colleagues and multiple stakeholders across the business

Why you should join SumUp:

• We’re a truly global team of 3000+ people from 60+ countries, spread across 3 continents
• We get together regularly for breakfasts, team events, office parties and sports
• You’ll receive a budget for attending conferences and external training
• We offer a corporate pension scheme, plus other great benefits

Additional Information 💫

• Start date: as soon as possible

• Full-time

• Work office location(s); Berlin or Paris

• Remote working: Yes - need to be based in Location of a SumUp Office

 

About SumUp

We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realise their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their businesses. With a founders mentality and a 'team-first attitude' our diverse teams across Europe, South America, and the United States work together to ensure that small business owners 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 be