Statista

1 month ago

Engineering Manager - Data & Content Delivery (m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Engineering Manager leading a cross-functional team of data, infrastructure and backend engineers to deliver Statista's Data and Content Delivery domain. You will shape roadmaps with Product, data production, and internal customers, drive a central data distribution layer, ensure data integrity and discoverability, and build scalable internal interfaces and APIs in collaboration with data engineers and architects.

Location: Hamburg, Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Transportation & Fleet Operations

Seniority: Manager level

Key Responsibilities

•Lead a team of senior data, infrastructure and backend engineers creating a supportive environment where people can grow and do their best work
•Collaborate closely with Product, Data Production, and key internal customers to define and deliver on a clear vision and roadmap with shared alignment on metadata, taxonomy requirements, and data format standards
•Support the team in architectural and technical decision-making, while not being expected to contribute code regularly - today that means driving the build-out of a governed, central data distribution layer that replaces the current mix workarounds and legacy pipelines
•Own data integrity and discoverability end-to-end. You'll establish monitoring across the full value chain and drive a continuously updated Data Catalogue that makes data trustworthy and discoverable across the organization, resolving terminology conflicts between product and data teams through a single source of truth
•Build strong relationships with internal stakeholders and partner with data engineers and architects to develop scalable internal interfaces and APIs - including close collaboration with the Discovery & Usage and API & Ecosystems clusters to align on baseline targets for workaround reduction

Pay and Benefits

Perks:Hybrid WorkFlex-timeHealth InsuranceAttractive LocationsOpenup

Key Requirements

•3+ years of experience leading cross-functional, product-oriented engineering teams
•Solid grasp of backend development, ideally with Java or Python, and both relational and NoSQL databases
•Solid understanding of data warehouse technologies and ETL pipelines — including experience migrating away from legacy, bespoke pipelines toward governed, self-serve data delivery platforms
•Strong understanding of distributed system design, particularly microservice architectures — with hands-on experience building event-driven, fan-out distribution systems (Kafka, Redpanda, Confluent)
•Familiarity with Data Governance Tools, Processes and Practices incl. data catalogues, Schema versioning, data contracts, and schema registry patterns
•Excellent communication skills and a collaborative mindset - you build strong relationships with senior engineers, product peers, other engineering managers, and various stakeholders
•Familiarity with building applications and infrastructure on AWS

Experience:3+ yearsData platformWeb platformData governance

Skills:BackendJavaPythonRelational databasesNoSQLData warehousingETLKafkaRedpandaConfluentAWSMicroservicesEvent-driven architecture

Languages:English

Tech Stack:JavaPythonRelational databasesNoSQLData warehouseETLKafkaRedpandaConfluentAWS

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

1 month ago

Engineering Manager - Data & Content Delivery (m/f/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Hamburg, Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Transportation & Fleet Operations

Seniority: Manager level

Key Responsibilities

•Lead a team of senior data, infrastructure and backend engineers creating a supportive environment where people can grow and do their best work
•Collaborate closely with Product, Data Production, and key internal customers to define and deliver on a clear vision and roadmap with shared alignment on metadata, taxonomy requirements, and data format standards
•Support the team in architectural and technical decision-making, while not being expected to contribute code regularly - today that means driving the build-out of a governed, central data distribution layer that replaces the current mix workarounds and legacy pipelines
•Own data integrity and discoverability end-to-end. You'll establish monitoring across the full value chain and drive a continuously updated Data Catalogue that makes data trustworthy and discoverable across the organization, resolving terminology conflicts between product and data teams through a single source of truth
•Build strong relationships with internal stakeholders and partner with data engineers and architects to develop scalable internal interfaces and APIs - including close collaboration with the Discovery & Usage and API & Ecosystems clusters to align on baseline targets for workaround reduction

Pay and Benefits

Perks:Hybrid WorkFlex-timeHealth InsuranceAttractive LocationsOpenup

Key Requirements

•3+ years of experience leading cross-functional, product-oriented engineering teams
•Solid grasp of backend development, ideally with Java or Python, and both relational and NoSQL databases
•Solid understanding of data warehouse technologies and ETL pipelines — including experience migrating away from legacy, bespoke pipelines toward governed, self-serve data delivery platforms
•Strong understanding of distributed system design, particularly microservice architectures — with hands-on experience building event-driven, fan-out distribution systems (Kafka, Redpanda, Confluent)
•Familiarity with Data Governance Tools, Processes and Practices incl. data catalogues, Schema versioning, data contracts, and schema registry patterns
•Excellent communication skills and a collaborative mindset - you build strong relationships with senior engineers, product peers, other engineering managers, and various stakeholders
•Familiarity with building applications and infrastructure on AWS

Experience:3+ yearsData platformWeb platformData governance

Skills:BackendJavaPythonRelational databasesNoSQLData warehousingETLKafkaRedpandaConfluentAWSMicroservicesEvent-driven architecture

Languages:English

Tech Stack:JavaPythonRelational databasesNoSQLData warehouseETLKafkaRedpandaConfluentAWS

Company Brief

Statista

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Hamburg, Germany

Founded: 2007

Website LinkedIn