Engineering Manager - Data Platform (m/f/d)

Statista Inc.

Hamburg, Berlin

On-site

EUR 90,000 - 130,000

Full time

6 days ago

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Benefits offered by this job

Work from abroad up to 30 calendardays

Hybrid work and flex-time

International team and social events

Subsidized urban mobility and wellness

Langdock access

Career & training opportunities

Modern offices

Mental health support with OpenUp

Job summary

Statista is seeking an Engineering Manager, Data Platform to lead a team building a platform-as-a-product that enables teams to manage and share trusted data. The role focuses on secure, reliable, and cost-conscious growth across Snowflake-based infrastructure and Kafka-based streaming.

Collaborate with the Senior Platform Product Manager to align vision and priorities, while steering day-to-day operations and architectural decisions.

Qualifications

At least five years of experience leading engineering teams, ideally in data platforms, platform engineering or infrastructure.
Strong foundation in data or platform engineering, with the confidence to contribute to architecture discussions and design reviews. Familiar with cloud data warehouses, Snowflake, and tools like dbt and orchestration.
Hands-on experience with infrastructure as code (IaC) using Terraform. Comfortable with Kubernetes, CI/CD and AWS.
Experience operating event-streaming systems such as Kafka, with a schema registry.
Understanding of data governance, including access models, data contracts, catalogues and lineage.
Ability to use AI tools and agentic workflows to improve team work and data access via MCP or A2A.

Responsibilities

Lead and grow the team.
Run the platform as a product, enabling quick setup, fast reviews, clear docs, and collaboration with data producers and partner teams.
Build trust by applying access controls, cost safeguards, audits, data contracts and metadata management.
Own reliable event streaming using Kafka as the backbone for data distribution across Statista.
Set technical direction, guide architecture, and leverage AI where it improves the team's work, without coding daily.

Skills

Team leadership

Data platform

Cloud data warehousing

Architecture reviews

AI and automation

Education

Tools

Snowflake

dbt

Orchestration

Terraform

Kubernetes

AWS

Kafka

Job description

At Statista, we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters - keep writing it as part of our team.

Are you ready to join us?

Your Job

As Engineering Manager, Data Platform at Statista, you'll lead the engineers building a platform-as-a-product that helps teams manage and share trusted data. You'll make it easier for data producers to get started while ensuring the platform is secure, reliable and cost-conscious as it grows.

You'll work closely with the Senior Platform Product Manager: they lead product vision and priorities; you lead the people, technical delivery and day-to-day operation of the platform. The role spans Snowflake-based data infrastructure and event streaming via Kafka.

What You’ll Do

Lead and grow the team. Lead a mixed team of DevOps, software and data engineers with shared ownership, on-call and standards. Grow people through clear expectations, regular feedback and real ownership, and hire as the platform grows.
Run the platform as a product. Partner with the Senior Platform Product Manager, make it easy for teams to put their data on the platform: quick setup, fast reviews, clear documentation, and a say in how the platform develops. Work with data producers, Analytics Engineering and other Statista group companies as partners, not just users.
Build trust into the platform. Guide the use of access controls, cost safeguards, audits, data contracts and metadata so teams can share data safely with people, APIs and AI-powered applications.
Own reliable event streaming. Run Kafka as the backbone that distributes data and content across Statista: reliable, well monitored, and easy for teams to publish to and consume from.
Set technical direction. Guide architecture and build-versus-buy decisions, review designs and pull requests, and use AI and automation where they improve the team's work. You'll stay technically engaged without being expected to code every day.

Your Skills

At least five years of experience leading engineering teams, ideally in data platforms, platform engineering or infrastructure. You know how to develop senior engineers and unite people with different technical backgrounds.
A strong foundation in data or platform engineering, with the confidence to contribute to architecture discussions and design reviews. You're familiar with cloud data warehouses, ideally Snowflake, and tools or practices such as dbt and orchestration.
Hands-on experience with infrastructure as code (IaC) using Terraform. You're comfortable with Kubernetes, CI/CD and AWS.
Experience operating event-streaming systems such as Kafka, Amazon MSK, Confluent or Redpanda, including a schema registry.
You understand data governance, including access models, data contracts, catalogues and lineage. You balance useful safeguards with a straightforward experience for the teams using the platform.
You use AI tools and agentic workflows in your daily work and help your team do the same. You understand how AI agents consume data and know how to make the platform and its data assets work well for agents accessing them through MCP or A2A.

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: