Senior Software Engineer - Data (All Genders)

Prematch Sports; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Employee participation (VSOP)

Job summary

Prematch Sports is seeking a senior data/analytics engineer to build scalable data pipelines and the data infra powering our Teamwear platform. You will work across data ingestion, processing, and quality, enabling rapid expansion into new markets and sources.

The role emphasizes independent work, AI tooling, and strong collaboration with business teams. You will shape data infrastructure, implement automated pipelines, and develop insights for internal stakeholders and external partners while

Qualifications

• Experience building data pipelines and data infrastructure.
• Strong skills in extracting information from websites and images.
• Proficiency in Python and databases with data modeling.
• Ability to work independently without a large engineering team.
• Fast learner with the ability to understand new domains quickly.
• Comfort with 80/20 decision making for data quality vs. completeness.
• Attention to data quality and explicit handling of uncertainties.
• Data-driven thinking to interpret data and decide next steps.
• Practice of clean, maintainable coding with testing and reviews.

Responsibilities

• Build and maintain data pipelines to collect and structure data from various sources.
• Develop algorithms to extract information from websites and images.
• Ensure data quality through validation, monitoring, and handovers.
• Manage and evolve the data infrastructure for the Teamwear area.
• Serve as second technical contact for the Teamwear domain.
• Create internal tools to enable data collection and correction by the team.
• Produce analytics and reports for internal and partner stakeholders.

Skills

Broad technical skillset

Data automation

Databases & data modelling

Independent working

Fast learner

80/20 mindset

Data quality

Data-driven thinking

Engineering practice

Tools proficiency

Tools

Python

PostgreSQL

RabbitMQ

Grafana

Metabase

Pulumi

Kubernetes

AWS

LLM APIs

Job description

Hey!

Imagine amateur football finally had the platform it deserves. Every weekend, millions of people write their own personal football stories – on pitches, in clubs and on the sidelines. We believe this passion deserves a digital home too. That's exactly what we're building every single day.

tl;dr

We’re looking for someone to help make our Teamwear business scalable beyond its current scope - building the data infrastructure, pipelines and tools that power the next stage of Teamwear.

Main information

• • Start: Immediately
• • Location: Cologne, Berlin London or Remote
• • Workload: Full-time
• • Team: Teamwear/Tech

Is this a match?

The most important basics – so we both know if it could work.

• • 100% remote: This role is generally available 100% remote within the EU or UK. If you'd still love to work from one of our offices in Cologne, Berlin or London - you're more than welcome.
• • Experience: You bring 6-8 years of experience in software engineering and data engineering.
• • Languages: You speak English fluently - German is a big plus.
• • Startup spirit: You'd rather shape things than just tick boxes - even when that means figuring stuff out without a finished roadmap.

What you'll do - your playing field

This is how you move our mission forward every day.

• • Data Pipelines: You build and maintain data pipelines for automated data collection, structured so that new sources and markets can be added quickly.
• • Algorithms: You develop algorithms to extract relevant information from websites and images.
• • Data Quality: You ensure data quality through validation, confidence levels, monitoring, and clean handovers internally and to partners.
• • Data Infrastructure: You manage and further develop the data infrastructure of the Teamwear area.
• • Technical Point of Contact: You act as the second technical point of contact for the Teamwear area.

In addition to your core responsibilities, you will also:

• • Internal Tools: You develop internal tools that enable the team to collect and correct data themselves.
• • Analytics & Reports: You create analytics and reports for internal stakeholders and external partners.

What you bring to the team

We're not looking for a perfect CV. But you should recognise yourself in these points.

• • Broad Technical Skillset: You move between data pipelines, backend and some frontend, and are not afraid of AI or image analysis.
• • Data Automation: You have experience with automated data pipelines, web scraping and image processing.
• • Databases & Data Modelling: You have expertise in databases and data modelling.
• • Independent Working: You work independently, even when there is no second engineer in the room and the context comes from business teams.
• • Fast Learner: You quickly get familiar with unfamiliar domains and ask the right questions along the way.
• • 80/20 Mindset: You know when fast and good enough is the right approach and when the data needs to be 100% accurate because a decision is based on it.
• • Data Quality: You care about details when it comes to data quality and make uncertainties explicit.
• • Data-Driven Thinking: You don't stop at analysing the data. You identify what is in the data, what it means and what we should look at next - even if nobody asked.
• • Engineering Practice: You write clean, maintainable code and follow good engineering practices such as testing and code reviews.
• • Tools: Python, PostgreSQL, RabbitMQ, Grafana, Metabase, Pulumi, Kubernetes, AWS, LLM APIs

Good to know

We want you to know what this role really looks like from day one.

• • If you are looking for clearly defined tickets, a large engineering team and a finished tech stack, this role is probably not for you.
• • You will work largely as a team of two within Engineering. Most of your day-to-day work will be with business people, not engineers.
• • You have two connections: technically to Engineering and on the content side to the Teamwear team. This gives you a lot of freedom and means you need to set your own priorities.
• • A large part of the role is data collection and data quality, rather than greenfield ML. The exciting part is turning messy, real-world sources into reliable data.
• • The area is new. There is no finished setup for you to work with - you will help build it.
• • AI-first: We work AI-first, and AI tools are an active part of our workflow.

Bonus

Not a must - but this'll definitely earn you extra points.

• • Experience with AWS, Kubernetes or IaC (Pulumi/Terraform). You can also learn this with us.
• • Experience presenting and preparing data for non-technical audiences.
• • A personal connection to amateur football.

The Prematch Setup

We want you to love joining us - and still love being part of the team a long time from now.

• • Be part of it from the start – Shape how Prematch grows and transforms amateur football.
• • Competitive salary – You’ll be paid fairly and transparently.
• • Employee participation (VSOP) - directly benefit from the company’s success.