Data & Analytics Engineer (m/f/d)

Statista Inc.; Hamburg, Berlin; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Work from abroad

International team

Mobility subsidy

Langdock access

Career & training

Modern offices

Mental health support

Résumé du poste

Statista Inc. in Hamburg is seeking an Analytics Engineer to design, implement, and maintain backend data services and pipelines that power our data access and distribution layer. You will work across data models, schemas, and API access points, aligning data contracts with stakeholder needs.

The role emphasizes SQL prowess, Kafka-based streaming, and cloud data warehouses, with opportunities to influence AI-assisted development workflows and modern data architectures in a global team.

Qualifications

• 3+ years in analytics engineering, data engineering, or related roles.
• Strong SQL and data modeling experience with dimensional modeling and star schemas.
• Hands-on with event streaming and Kafka, and schema management via registry.
• Experience designing data contracts between producers and consumers.
• Familiar with Snowflake/BigQuery/Redshift and modern data tooling (dbt, CI/CD).
• Interest in AI-assisted development workflows and data governance.

Responsabilités

• Design, implement, and maintain backend data services and schemas.
• Build and operate CI/CD pipelines on AWS/Kubernetes for data products.
• Publish data models to downstream consumers via Kafka-based distribution and schema registry.
• Create access-layer data models in analytics environments (e.g., Snowflake) and expose APIs.
• Coordinate between Data and Tech divisions, aligning priorities and timelines.

Connaissances

SQL

Data modeling

English communication

Analytical mindset

Team collaboration

Problem-solving

Outils

Kafka

Schema registry

Snowflake

BigQuery

Redshift

dbt

CI/CD

Description du poste

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 role

• Design, implement, and maintain backend services in Python that power our data access and distribution layer

• Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes

• Design and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry

• Build access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API

• Act as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams

Your profile

• 3+ years of experience in analytics engineering, data engineering, or a related role.

• Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas).

• Hands-on experience with event streaming and message distribution, ideally Kafka, including schema management with the Kafka schema registry (Avro, Protobuf, or JSON Schema).

• Experience designing data contracts and schemas between upstream producers and downstream consumers.

• Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data stack tools (e.g., dbt, CI/CD).

• Openness to AI-assisted development workflows (e.g., Claude Code or similar).

• Comfort working at the boundary of streaming/operational data and analytical data models, and building access layers that serve applications via API.

• Strong attention to detail with a quality-focused and structured working style.

• Interest in data governance, standards, and scalable data architecture.

• Analytical mindset with strong problem-solving skills.

• Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts.

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:

• Work from abroad up to 30 calendar days a year

• Hybrid work and flex-time

• International team and social events

• Subsidized urban mobility and access to fitness and wellness options

• Free access to Langdock and all its amazing functionalities

• Career & training opportunities

• Attractive locations and modern offices

• Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.