Analytics Engineer (m/w/d)

Statista
Hamburg, Berlin
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Communication","Cross-functional collaboration"]

Build and maintain backend services in Python that power reliable data access and distribution. Own CI/CD and GitOps delivery pipelines on AWS with Kubernetes, and design data models and schemas (Avro/SQL) for Kafka-based distribution with schema management. Develop analytics-layer models in Snowflake so applications can consume data via APIs, while coordinating priorities, schemas, and timelines across upstream and downstream Data/Tech teams.

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FursaFursa
Statista
Statista
7 hours ago

Analytics Engineer (m/w/d)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build and maintain backend services in Python that power reliable data access and distribution. Own CI/CD and GitOps delivery pipelines on AWS with Kubernetes, and design data models and schemas (Avro/SQL) for Kafka-based distribution with schema management. Develop analytics-layer models in Snowflake so applications can consume data via APIs, while coordinating priorities, schemas, and timelines across upstream and downstream Data/Tech teams.
Location: Hamburg, Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Develop, implement, and maintain backend services in Python for the data access and distribution layer.
  • •Build and operate automated build, test, and deployment pipelines using CI/CD and GitOps on AWS and Kubernetes.
  • •Design and maintain data models and schemas (Avro, SQL) for data pipelines and services, and expose them to downstream consumers via a Kafka-based distribution platform and Schema Registry.
  • •Develop data models for the access layer in the analytics environment (e.g., Snowflake) so applications can use the data directly via APIs.
  • •Coordinate between Data and Tech teams, aligning priorities, schemas, and timelines across upstream and downstream stakeholders.
Travel: Low travel

Pay and Benefits

Perks:Health InsuranceWellness StipendMobility Subsidy

Key Requirements

  • •At least three years of professional experience in analytics engineering, data engineering, or a comparable role.
  • •Very strong SQL skills with experience in data modeling, e.g., dimensional modeling and star schemas.
  • •Practical experience with event streaming and message distribution, ideally Kafka, including schema management via Kafka Schema Registry (Avro, Protobuf or JSON Schema).
  • •Experience designing Data Contracts and schemas between upstream data producers and downstream data consumers.
  • •Experience with cloud data warehouses like Snowflake, BigQuery or Redshift and modern data-stack tools such as dbt and CI/CD.
Experience:Analytics engineeringData engineering
Skills:CommunicationCross-functional collaboration
Languages:EnglishDeutsch
Tech Stack:PythonAWSKubernetesCI/CDGitOpsAvroSQLKafkaSchema RegistryProtobufJSON SchemaSnowflakeBigQueryRedshiftDbtDimensional modelingStar schemasData contractsKafka Schema RegistryAPI

Company Brief

Statista
Operates an online statistics portal providing market and consumer data, industry reports, and infographics. Serves businesses, researchers, and media with aggregated statistics and insights across global industries and topics.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Hamburg, Germany
Founded: 2007
WebsiteLinkedIn