Software Engineer – Data

Prematch

. Maintain accurate football results, lineups, goals, appearances, stats, and market values .

Posted 10/30/2026full-timeGermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating Python data-processing services and pipelines, ensuring data quality and accuracy for grassroots football. Proficient in SQL and data modeling, with a strong ability to communicate data issues to non-technical stakeholders.

Highest-signal resume keywords

Python Data ProcessingSQL SkillsData Pipeline DevelopmentData Quality ManagementGrassroots Football Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingData ValidationData ProcessingProduction CodingCode ReviewData Quality ChecksData TransformationTest-First Development

Soft Skills

Clear CommunicationProblem-Solving

Tools & Technologies

PostgreSQLRabbitMQAWSKubernetesGitLab CIGrafanaMetabaseClaude Code

Industry Keywords

Football DataData QualityData PipelineGrassroots Football

Tech Stack

Tools & technologies

AWSGrafanaKubernetesPostgresPythonRabbitMQSQL

About the role

Key responsibilities & impact

Maintain accurate football results, lineups, goals, appearances, stats, and market values
Build and operate tested and monitored Python data-processing services and pipelines
Transform match data from multiple sources into teams, players, and statistics for the app
Implement validation, monitoring, and alerts for measurable data quality
Fix root causes of data-quality issues
Develop expertise in grassroots football data and encode domain knowledge into system rules
Ensure data is accurate and useful for players and clubs
Shape data models with engineers responsible for data acquisition and processing
Support data and business colleagues with technical data requests, queries, data pulls, and validation checks
Build internal tools for support and product colleagues to check and correct data

Requirements

What you’ll need

5+ years as a software engineer with a data focus
Production coding experience and end-to-end ownership of a production pipeline or dataset
Ability to navigate and understand an established codebase, data, and git history independently
Experience using coding agents, planning with them, reviewing generated code, and owning shipped work
Test-first development and experience with small merge requests and code review
Interest in understanding grassroots football
English as the working language
Experience building and running production data pipelines
Experience shipping tested Python services through code review
Strong SQL skills and clean data modelling with PostgreSQL or similar
Experience owning dataset quality using checks, monitoring, and explicit data gaps
Experience making uncontrolled, messy data reliable, including inconsistent names, duplicates, and late corrections
Ability to explain data problems clearly to non-SQL users
Familiarity with Python, PostgreSQL, RabbitMQ, AWS, Kubernetes, GitLab CI, Grafana, Metabase, and Claude Code

Benefits

Comp & perks

Employee participation (VSOP)
Modern tech setup with provided tools and devices
AI-powered work and AI tools
27 days holiday per year
Special arrangement for parents to balance family and time off
Flexible remote work, with 100% remote sometimes possible for Tech & Product
Ability to work temporarily from other offices
Ability to work flexibly from outside the home base
Regular team events
Four-day team offsites