Statista

Data Engineer

• Lead and mentor a team of Data and AI engineers, setting objectives, reviewing code, and fostering professional growth.
• Drive the end-to-end development of advanced Data and AI-powered solutions, including automation frameworks and agentic workflows, to enhance data research, complex forecasting, and decision-making
• Design, deploy, and maintain scalable cloud infrastructure for AI services and APIs.
• Identify automation opportunities, streamline workflows, and continuously improve processes across the company.
• Collaborate with stakeholders to align AI solutions with organizational goals and high-value data delivery.
• Stay ahead of AI and automation trends, integrating state-of-the-art methods and tools into team projects.

Data Engineering Lead – Data & AI Tools

Backend Engineer

• Build and optimize backend systems using Python, PostgreSQL, and AWS (ECS, Fargate, S3, RDS) for data-driven applications.
• Develop APIs and microservices that connect data products to various platforms.
• Design database models, automate schema migrations, and ensure performance and security.
• Operate orchestration and CI/CD pipelines (Airflow, Docker, GitHub Actions) for reliable deployments.
• Collaborate across teams to solve technical challenges around data, with a focus on backend and data architecture.
• Perfect for backend engineers interested in working with data or growing into data engineering.

Data Backend Engineer

• Develop and optimize ELTs to integrate new data sources and enhance data management in the data warehouse (DWH) and other systems
• Drive cross-functional collaboration with engineering, data science, and analysis teams to deliver documented, reproducible datasets for healthcare KPIs, benchmarking, and product features
• Drive business outcomes through data solutions (e.g., reducing cost, increasing accessibility)

Data Engineer – Healthcare

• Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista’s market insights coverage.
• Leverage AI and automation to support complex quantitative and qualitative analyses, helping analysts focus on interpretation and strategic insights.
• Build and maintain the infrastructure required to make these tools accessible to analysts, ensuring scalability, reliability, and seamless integration into Statista’s data architecture and platform.
• Enable Statista to introduce innovative data offerings that are highly relevant for our customers by integrating forecasts, survey data, financial filings, and third-party datasets into robust pipelines and storage solutions.
• Work closely with analysts, researchers, and other Data Operations teams to deliver solutions that raise efficiency, improve data quality, and expand the value of our data products.

Data Engineer – Modelled Data

• Design, build, and improve our data infrastructure with a focus on backend architecture, database management, and orchestration systems.
• Collaborate on data pipelines and services implemented with Python, PostgreSQL, Airflow, and AWS services (ECS, Fargate, ECR, S3, RDS).
• Contribute to implementing infrastructure-as-code (Terraform, CloudFormation, CDK), observability, and CI/CD practices (e.g., GitHub Actions).
• Participate in architecting and optimizing data models, managing schema design, and executing migrations using tools such as SQLAlchemy and Alembic.
• Develop and maintain microservices and APIs to integrate data systems with internal and external platforms.
• Work with engineering, taxonomy, and platform teams to define data contracts and ensure reliable data flows.
• Apply cybersecurity standards, operational excellence, and consistent data versioning and monitoring where appropriate.
• Provide input to architectural planning, support technical mentorship, and help shape the evolving direction of the data organization.

Senior Data Engineer – Data Architecture

Data Scientist

• Support in maintaining and further developing Statista’s ranking and rating databases, ensuring consistency, accuracy, and scalability
• Implement and optimize data pipelines (ETL/ELT) to automate data collection, transformation, and validation workflows
• Collaborate on data pilots and benchmarking projects — from design and metric development to scoring and results analysis, interacting directly with our clients as part of an interdisciplinary Statista project team
• Integrate, clean, and standardize external datasets from hospitals, ministries, and partners for unified use in Statista’s healthcare products
• Develop and document data models and scoring frameworks in alignment with the Healthcare Analysis and IT teams
• Support the development of Statista’s Unified Health Database and future Healthcare Data Platform
• Perform internal analyses and reporting to improve data quality and performance metrics of existing healthcare products
• Ensure data validation and reproducibility, including peer review and internal QA checks.
• Actively contribute ideas for new data-driven healthcare products and improvement of existing workflows

Data Science Consultant – Healthcare

Consultant

• Lead and deliver workstreams within international healthcare benchmarking and transformation projects
• Co-develop project methodologies, KPI frameworks, and scoring logic in close coordination with the Analysis and Data Science teams
• Actively contribute to pitch preparation, proposal development, and acquisition processes
• Coordinate internal and external stakeholder communication and manage selected client interfaces
• Translate data insights into strategic recommendations and high-quality deliverables
• Collaborate with cross-functional teams to ensure operational readiness and product fit
• Guide and mentor junior colleagues in content, structure, and client interaction

Senior Consultant – Healthcare Data, Strategy

Sales

• Leitung Ihres eigenen Vertriebsbereichs im akademischen/Bildungssektor, insbesondere in Deutschland
• Übernahme der Verantwortung für die entsprechenden Vertriebsziele
• Aufbau von Kundenbeziehungen vom ersten Kontakt bis hin zu einer langfristigen, nachhaltigen Partnerschaft
• Aufbau und Erweiterung Ihres Netzwerks und der Sichtbarkeit von Statista in bestehenden Märkten
• Kundenansprache durch Online- und Live-Produktpräsentationen

Sales Manager, Academia D-A-CH

Account Manager

• Betreuung und Ausbau von Bestandskunden im Mid-Market Bereich sowie die individuelle Weiterentwicklung eines Kundenportfolios
• Abschluss von Renewals sowie Identifikation und Umsetzung von Upsell- und Cross-Sell-Potenzialen zur Umsatzsteigerung
• Durchführung von proaktiven Engagements und Produktcoaching
• Identifikation von Expansionsmöglichkeiten und Umsetzung von Upselling-Strategien
• Strategische Kundenbetreuung und -entwicklung, um langfristiges, maßgeschneidertes Wachstum zu fördern
• Vertragsverhandlungen auf höchster Entscheider-Ebene mit Fokus auf maßgeschneiderte Lösungen
• Lösungsorientierte Beratung basierend auf den spezifischen Anforderungen der Kunden und Entwicklung individueller Produktlösungen

SEO Marketing

• Support the team in their daily SEO work using external and internal tools
• Conduct SEO analyses, market analyses, and keyword research
• You will help optimize content visibility and structure (onpage & indexing tasks)
• Contribute to SEO projects and support implementation
• Prepare reports, dashboards, and benchmarks for management

Working Student, SEO

• Vermarktung von Siegel-Lizenzen in der DACH-Region
• Verantwortung für den kompletten Sales-Cycle (Erstkontakt bis Vertragsabschluss)
• Proaktive und kommunikative Weiterentwicklung des Kundenstamms
• Eigene Projektverantwortung (Optimierung von Verkaufsmaßnahmen, After-Sales, Verkaufsmaterialien)
• Aufbau eines eigenen Kundenstamms
• Zusammenarbeit im Licensing-Team (Vertrieb, Projektmanagement und Grafik) zur Vermarktung von Statista-Rankings

Junior Key Account Manager

• Design and maintain backend services in Kotlin, Java, and Python to support user data flows
• Build and optimize event-driven pipelines connecting internal systems with the Customer Data Platform (CDP) and downstream marketing channels
• Implement reliable processes for collecting, transforming, and activating user data ensuring accuracy and timeliness for campaigns and analytics
• Collaborate with marketing, data, and product teams to align data integrations with business and campaign goals
• Ensure scalability, reliability, and observability of data pipelines through monitoring, logging, and proactive improvements
• Apply best practices across the software development lifecycle, including design, testing, CI/CD, deployment, and maintenance

Affiliate Manager

• Support the Partner Data Managers in daily tasks
• Support business development through market, partner, and lead research
• Generate leads and maintain the partnership pipeline
• Assist in projects and take ownership of smaller tasks independently
• Participate in internal data strategy and team meetings
• Prepare presentations, reports, and documentation to support partnerships
• Support in the analysis and optimization of existing processes
• Research potential partners, prepare outreach, and help manage ongoing collaborations for Statista