Statista

3 months ago

Data Engineer - Tracking Infrastructure (m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Data Engineer responsible for owning and scaling Statista's tracking data infrastructure, building ELT pipelines in Python/SQL, ensuring data quality and cost efficiency, and collaborating across engineering and analytics teams to enable reliable, well-documented data for high-volume analytics and streaming use cases.

Location: Hamburg, Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own and manage tracking data pipelines and infrastructure (event data, web tracking).
•Ensure data quality, governance, and cost control (e.g. retention, storage optimization).
•Build and optimize ELT pipelines using Python and SQL.
•Improve data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases).
•Collaborate with engineering teams (data producers) and analytics teams (data consumers).

Pay and Benefits

Perks:Hybrid WorkFlexible HoursHealth Insurance

Key Requirements

•Must-have experience in data engineering within cloud environments (AWS preferred).
•Strong skills in Python and SQL.
•Hands-on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIs.
•Familiarity with large-scale data systems and event-based data (tracking, logs, or similar).
•Experience with Snowflake (or similar data warehouse).

Experience:Data engineeringCloud computingAnalytics

Skills:PythonSQLAirflowPrefectSnowflakeTerraformGitHub ActionsDBT

Tech Stack:PythonSQLAirflowPrefectSnowflakeTerraformGitHub ActionsS3IcebergAPIs

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

Website LinkedIn

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Statista

3 months ago

Data Engineer - Tracking Infrastructure (m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Hamburg, Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own and manage tracking data pipelines and infrastructure (event data, web tracking).
•Ensure data quality, governance, and cost control (e.g. retention, storage optimization).
•Build and optimize ELT pipelines using Python and SQL.
•Improve data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases).
•Collaborate with engineering teams (data producers) and analytics teams (data consumers).

Pay and Benefits

Perks:Hybrid WorkFlexible HoursHealth Insurance

Key Requirements

•Must-have experience in data engineering within cloud environments (AWS preferred).
•Strong skills in Python and SQL.
•Hands-on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIs.
•Familiarity with large-scale data systems and event-based data (tracking, logs, or similar).
•Experience with Snowflake (or similar data warehouse).

Experience:Data engineeringCloud computingAnalytics

Skills:PythonSQLAirflowPrefectSnowflakeTerraformGitHub ActionsDBT

Tech Stack:PythonSQLAirflowPrefectSnowflakeTerraformGitHub ActionsS3IcebergAPIs

Company Brief

Statista

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Hamburg, Germany

Founded: 2007

Website LinkedIn