Data Platform Lead (all genders)

gotphoto; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

GotPhoto is looking for a Data Engineer to lead high-impact data initiatives in Berlin. This role includes shaping platform strategy, building resilient ETL pipelines, and mentoring a skilled team. Candidates should have over 5 years in data engineering with strong skills in SQL and Python.

We're excited to discover how your experience can enhance our team.

Qualifikationen

• 5+ years of experience in data engineering or technical leadership.
• Strong expertise in SQL, Python, ETL/ELT, data modeling, and scalable data architectures.
• Proven experience designing scalable data platforms.

Aufgaben

• Shape platform strategy and architecture for data initiatives.
• Build and manage resilient ETL/ELT pipelines.
• Leverage automation platforms to streamline operations.

Kenntnisse

SQL

Python

ETL/ELT

Snowflake

dbt

Airflow

Kafka

Terraform

Kubernetes

GitLab CI/CD

Tools

AWS

n8n

OpenAI APIs

Anthropic APIs

LangChain

LlamaIndex

Jobbeschreibung

Your Role:

Do you want to drive high-impact data initiatives alongside an international data team and play a key role in scaling a market-leading e-commerce workflow platform? If you thrive on a steep technical learning curve, possess a high level of ownership, and want to build modern, reusable data systems that empower human decision making, self-serve analytics, and AI agents, you are our perfect match!

What You Will Do

• Shape Platform Strategy & Architecture

• Pioneer Agentic AI & Analytics Innovation

• Modernize Pipelines & Event Streaming: Build, optimize, and manage highly resilient ETL/ELT pipelines using Snowflake, dbt, Airbyte, and Airflow. You will design modern ingestion and transformation architectures while enabling near-real-time event streaming capabilities through Kafka and similar technologies.

• Automate Workflows & Operational Processes: Leverage orchestration and automation platforms such as n8n to connect systems, streamline business operations, eliminate repetitive manual work, and enable scalable workflow automation across teams.

• Establish AI-Ready Data Foundations: Ensure all data products are discoverable, well-documented, governed, and trusted across the organization. You will establish strong data contracts, ownership models, observability standards, and governance practices so both humans and AI-powered systems can confidently work with data.

• Leverage Cloud & DevOps Infrastructure: Deploy and manage cloud-native data infrastructure on AWS while working with Infrastructure-as-Code and containerized environments using Terraform, Kubernetes, and GitLab CI/CD pipelines.

• Empower & Mentor a Skilled Team: Provide dedicated technical leadership and hands‑on mentorship to two data engineers. You will establish engineering standards, scalable operational practices, testing structures, and a strong culture of collaboration and technical excellence.

What You Bring

Experience

• Proven Data Engineering Foundation: 5+ years of experience in data engineering or technical leadership, with strong expertise in SQL, Python, ETL/ELT, data modeling, and scalable data architectures.

• Modern Platform & Architecture Experience: Proven experience designing scalable data platforms and migrating legacy systems toward modular or event‑driven architectures.

• Cross-Functional Communication: Strong experience collaborating with cross‑functional stakeholders to align technical architecture with business goals.

Skills

• The Modern Data Stack: Hands‑on expertise with Snowflake, dbt, Airflow, and Airbyte, plus experience with event‑streaming technologies such as Kafka.

• Advanced Coding & DevOps: Strong Python skills and experience with AWS, Terraform, Kubernetes, GitLab CI/CD, and cloud‑native infrastructure.

• Automation & AI Engineering: Experience or strong interest in analytics agents, LLM integrations, and workflow automation using tools such as OpenAI APIs, Anthropic APIs, n8n, LangChain, or LlamaIndex.

• Data Governance & Reliability: Strong understanding of data quality, governance, observability, security, and reliable data products.

Mindset

• Extreme Ownership: You take ownership of infrastructure challenges, architectural decisions, and operational improvements proactively.

• Pragmatic Innovator: You balance innovation with reliability, maintainability, and long‑term platform health.

• Developer Empathy & Mentorship: You enjoy mentoring teammates and communicating technical concepts clearly across teams.

• Continuous Learning & Adaptability: You stay curious about modern data technologies, workflow automation, and emerging AI capabilities.

What Matters to Us

Research shows that candidates from underrepresented backgrounds may refrain from applying for positions if they feel they don't meet all qualifications. We strongly encourage you to apply if you’re interested: we're excited to discover how your distinctive experience can enhance our team! We work as one team. Wherever you come from. However, you identify. We believe in equal opportunities.