• Build tools that directly support progressive campaigns and organizers in election season (Polling Place images, etc) • Work with our Core Data Team on precinct election results and data analysis • Contribute to internal tooling, automations, and infrastructure to improve team workflows • Build, test, and maintain backend systems, including agentic AI pipelines or experimental prototypes • Write clean, well-documented code to support operations and innovation • Take a systematic approach to tasks: define goals, structure work, document outcomes • Stay organized in the face of ambiguity; prioritize well and manage time independently • Sweat the small stuff: flag edge cases, catch bugs early, follow naming conventions, write good commit messages

Role Description You'll be building and maintaining the data infrastructure that powers our global platform. This means working on 1datapipe®, customer profiling, innovation projects and owning data pipelines that process millions of transactions daily. We're a small team. You'll work autonomously but with proper support, collaborate across engineering functions, and focus on solving real data problems rather than theoretical ones. If the idea of building genuinely useful data systems appeals to you, this role could be a good fit. - Design, build and run data pipelines for our global platform - Own automation and monitoring for data quality and performance - Work with internal and external teams to deliver new data capabilities - Contribute to product roadmap and POC development - Document technical specifications and design decisions Qualifications - 5+ years as a Data Engineer - Hands-on Apache Spark (PySpark) experience, including performance tuning - Experience with AWS services (EMR, Athena, S3, RDS) - Proficiency in Python and SQL - Experience with data lake/lakehouse technologies (Delta Lake, Apache Iceberg or similar) - Experience with data modelling, data warehousing and building ETL pipelines - Linux/Unix shell scripting - CI/CD and Git in a team environment - Although not essential, it would be great if you have experience with: - Data quality and observability tools (Great Expectations, Soda) - Data or ML pipeline orchestration - BI tools and data visualisation Interview Process - Initial chat with a member of our recruitment team to better understand your current situation, what you are looking for and any questions you may have - Technical Challenge: A take-home task you will complete in your own time - Technical Interview: With your potential team members, primarily consisting of technical questions - Final Interview: With senior management covering a range of technical and behavioural competencies Benefits - Comprehensive private health cover and wellness plans - Flexible and remote-friendly opportunities - Maternity/paternity leave - Retirement benefits such as pension contributions to plan for your future - Macbook Pro Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave. At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.

Role Description Als Datentechniker (m/w/d) für PV-Anlagen & Datenintegration verantwortest du die technische Dateninfrastruktur unserer PV-Anlagen. Du sorgst dafür, dass Sensoren, Datenlogger und Kommunikationssysteme zuverlässig miteinander verbunden sind und Betriebsdaten sauber erfasst werden. Dabei arbeitest du eng mit unseren Bau- und Projektteams zusammen und stellst sicher, dass die Datentechnik unserer Anlagen vor Ort korrekt installiert, konfiguriert und dokumentiert ist. Responsibilities - Planung und Konzeption der Dateninfrastruktur unserer PV-Anlagen – von Sensorik über Datenlogger bis hin zu IoT-Gateways und Kommunikationskomponenten. - Integration von Anlagenkomponenten und Sensoren in unsere Systeme und Sicherstellung der zuverlässigen Datenübertragung über Protokolle wie Modbus, TCP/IP, MQTT oder API-Schnittstellen. - Übernahme der IP-Adressierung, Netzwerkkonfiguration sowie die Parametrierung von Geräten und Schnittstellen bei der Einrichtung und Inbetriebnahme der Datentechnik. - Zusammenarbeit mit unseren Bau- und Projektteams zur korrekten Installation der Datentechnik an unseren Anlagenstandorten und nahtlosen Integration in die Systeme. - Überwachung der Datenübertragung und Systemverbindungen unserer Anlagen, um stabile Kommunikation zwischen Sensoren, Wechselrichtern und Systemen zu gewährleisten. - Strukturierte Analyse und Lösung von Kommunikations- oder Messproblemen durch gezieltes Troubleshooting. - Dokumentation der Dateninfrastruktur unserer Anlagen und Aktualisierung technischer Unterlagen. Qualifications - Abgeschlossene Ausbildung als Elektroniker, Informationselektroniker, Mechatroniker oder vergleichbare Qualifikation, idealerweise mit Schwerpunkt auf Datentechnik. - Mehrjährige praktische Erfahrung in industrieller Datentechnik oder Anlagenkommunikation, idealerweise im Bereich Photovoltaik oder Industrieanlagen. - Fundierte Kenntnisse in Netzwerktechnik (Ethernet, WLAN, Mobilfunk) und gängigen Kommunikationsprotokollen. - Erfahrung mit gängigen Monitoring-Tools sowie grundlegende Programmierkenntnisse und Kenntnisse in der Tabellenkalkulation. - Analytisches Denkvermögen, strukturierte Arbeitsweise und hohe Eigenmotivation. - Reisebereitschaft innerhalb von Süddeutschland (Bayern und Baden-Württemberg) sind zwingend erforderlich. - Sehr gute Deutschkenntnisse, gute Englischkenntnisse von Vorteil. Benefits - Option auf Remote-Arbeit und flexible Arbeitszeiten. - Echte Anteile am Unternehmenserfolg durch Mitarbeiterbeteiligungen. - Donnerstags gemeinsames Lunch kostenfrei. - Sehr gute Verkehrsanbindung zu unserem Office in der Münchener Innenstadt. - Parkplatz vor Ort (Tiefgarage). - Regelmäßige Team-Events und gemeinsame Feiern der Erfolge. - Kostenlose Getränke und frisches Obst im Büro für deinen Energie-Boost. - Neueste technische Ausstattung und innovative Software, die deinen Arbeitsalltag erleichtert. - Top-Weiterbildungsmöglichkeiten im Bereich erneuerbare Energien und nachhaltige Geschäftsführung. - Eine Unternehmenskultur, die auf Nachhaltigkeit, Innovation und Zusammenarbeit setzt.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Our data platform is scaling rapidly, and we need an engineer who can own pipelines end-to-end, keep data quality high, and ensure reliability as we grow. This role exists to strengthen our data infrastructure, accelerate delivery through automation, and ensure our B2B customers receive accurate, timely data they can trust. You'll work on data systems that directly power customer workflows - where pipeline reliability and data quality directly impact retention. - Build and maintain production-ready data pipelines using DBT, Snowflake, and modern orchestration tools. - Own data engineering features end-to-end, from implementation through optimization and deployment. - Fix and improve existing pipelines - identify bottlenecks, resolve issues, and enhance performance. - Drive automation initiatives across the data stack to accelerate delivery and reduce manual interventions. - Provide 2nd line support for B2B customers - investigate data issues, clarify edge cases, and ensure customers can trust their data. - Design and implement new data import pipelines as we expand our data source coverage. - Implement data quality improvements - validation, monitoring, and testing to ensure reliable, accurate data delivery. - Contribute to code reviews, architectural discussions, and data engineering best practices. Qualifications - 3+ years of professional data engineering experience. - Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles. - DBT - hands-on experience building and maintaining transformation pipelines. Requirements - Nice to have: Snowflake - Nice to have: Databricks - Nice to have: AWS (S3, Lambda, Glue, etc.) - Nice to have: Prefect or similar orchestration tools (Airflow, Dagster) - Solid understanding of data quality principles, testing strategies, and monitoring practices. - Comfortable working in a fast-moving, remote-first environment. - Strong communicator - able to explain technical issues clearly to both technical and non-technical stakeholders. - Async-first mindset - can work independently, document decisions, and keep stakeholders informed without constant synchronous communication. - End-to-end ownership mentality - you see tasks through from planning to production, handling blockers and follow-through. - You care about data quality, pipeline reliability, and long-term maintainability. Benefits - Competitive compensation based on experience. - Meaningful ownership and long-term growth opportunities. - Flexible working hours. - Fully remote-friendly team. - Direct collaboration with founders and core engineering leadership.