Senior data engineer databricks állások Németországban (it programozás, fejlesztés)

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• Design, implement, and optimize data ingestion and transformation pipelines using Azure Databricks, Data Factory, and ADLS
• Apply automation to streamline and scale recurring data engineering tasks across the CDP

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• Closely collaborating with data analysts, analytics engineers and other consumers of Tourlane data to maintain and incrementally improve our hosted data services
• Improving and extending our existing data ELT processes, focusing on our ‘bronze' and ‘silver' layer within our data architecture

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....

Analyze business require­ments and processes along the full value chain of a globally operating industrial insurer to support our international digitalization strategy...

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

Analyze business require­ments and processes in the sales domain of a globally operating industrial insurer to support our inter­national digitali­zation strategy...

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Architect and implement scalable data pipelines, models, and services using Azure Databricks, Azure Data Factory, Azure Foundry, and ADLS
• Establish and enforce standards for ingestion, transformation, governance, and storage across the Common Data Platform (CDP)

Define and own the vision, roadmap, and value case for derived AI/data products...

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• optimize business processes: Model and implement requirements in SAP Variant Configuration (LO-VC and AVC)
• drive system integration: Visualize and streamline data flows between SAP ERP, SAP CRM, and other integrated systems

• 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

You develop, implement, and continuously improve a comprehensive data governance framework that includes policies, procedures, and standards for effective data management across the organization....