Data Engineer

• Lead, develop, and manage a team of four: three data engineers and one service manager – set direction, prioritize work, and grow the team’s technical and delivery capabilities.
• Own a core cloud data application end to end, taking responsibility for driving its ongoing development, service, and reliable operation.
• Support roadmap initiatives and contribute to the vision for the application and the broader analytical data platform, translating strategic direction into concrete deliverables.
• Contribute hands-on to data engineering work, including data onboarding for the operational data warehouse and analytical backbone, building and maintaining data pipelines, and developing end-to-end data applications.
• Drive data quality, performance, and reliability across the platform and applications (completeness, timeliness, correctness), and deliver analytics projects that create value for the business.
• Participate in and contribute to cross-functional collaboration teams as required.

Senior Team Lead, Operational Data Services, Analytical Data Platform Services

• Develop scalable data management and data processing architectures.
• Manage data acquisition from API, batch, event or streaming sources.
• Develop processes for data aggregation.
• Design and develop data pre- and post-processing stages.
• Plan and design for data governance, security, provenance and the over-all data lifecycle.
• Leverage best-in-class cloud technologies to cater for OLTP and OLAP business needs.
• Integrate ML models and Analytic components into the workflows (including MLOps).
• Work closely with Data Science and Application Development teams in an agile development process.

• Weigh technological options against business (process) requirements
• Plan and design IT system components, including hardware, software and services
• Create the overall design including technical requirements, principles and models
• Ensure solution integration across applications, systems and platforms
• Ensure consistency across all IT products
• Design, integrate and implement IT solutions from a technical perspective
• Provide enterprise data models, EDS, conceptual and canonical models
• Define patterns for capturing and storing D&A data
• Lead activities to identify data-producing systems
• Provide detailed data design by managing data modeling activities
• Ensure that the ICT roadmap for their customers is aligned with business process optimization and organizational change management

Core Solution & Data Architect – m/f/d

• You analyze processes and data structures across various medical domains
• In close coordination with clinicians, you elicit and systematize clinical (documentation) requirements
• You ensure the use and development of clinical information models and terminologies to achieve semantic interoperability, in close cooperation with national and international standardization initiatives
• You support the translation between different data models and standards
• You create data integration pipelines between proprietary systems and open data standards
• You advise internal and external stakeholders on medical data structures, particularly in the context of analytics, machine learning, and decision support systems
• You conduct training for internal and external users in the area of data modeling

Technical Consultant – Data Engineering

• Fachliche und disziplinarische Führung des Data-Engineering-Teams
• Aufbau, Konzeption und Weiterentwicklung moderner Datenplattformen und Data-Lakehouse-Architekturen (z. B. auf Basis von Databricks)
• Strategische Beratung unserer Kunden bei der Einführung und Skalierung datengetriebener Plattformen in unterschiedlichen Branchen
• Entwicklung und Optimierung von ETL-/ELT-Pipelines zur Verarbeitung großer Datenmengen in Batch- und Streaming-Szenarien
• Sicherstellung von Qualität, Best Practices und technischer Exzellenz im Team – von Code Reviews über Architekturentscheidungen bis hin zu Standards für DataOps und CI/CD
• Aktive Mitgestaltung der Unit-Strategie, des Portfolios sowie Unterstützung bei Go-to-Market- und Pre-Sales-Aktivitäten

Unit Lead – Data Engineer

• Analyze customers' business and technical requirements
• Implement Data & Analytics solutions using SAP BW and SAP Datasphere
• Design and implement data models and ETL pipelines
• Test and hand over solutions to production at the customer site
• Take responsibility for the project and the Windhoff project team
• Share knowledge with colleagues through training sessions and project presentations

Senior Consultant, Data Engineering, SAP BW / SAP Datasphere

• Architecture & pipeline design: You design, build and optimize scalable data pipelines and modern data platforms in cloud environments (including STACKIT).
• Product development with impact: You actively shape the data infrastructure for our internal flagship products – from real-time situation awareness in the public safety sector (X-PLORE) to intelligent data processing in forestry (TimberNex).
• Top-tier client projects: You support exciting clients, including those in the logistics sector, with complex data integrations and challenging IT projects.
• Modern tooling & streaming: You connect systems via service buses and message queues, transform data with dbt and Talend, and make it performantly usable in Exasol.
• Data excellence: You establish high standards for data governance and data quality so our data is always reliable, secure and compliance-ready.
• Innovation & AI: You experiment with LLMs and integrate AI-powered workflows into our data structures.

Senior Data Engineer – Cloud, Products & Innovation

• As CUJU’s first Senior Data Engineer, you will build the data foundation of the company.
• Your mission is to transform fragmented data across multiple systems into a reliable, scalable, and usable data layer that enables: Clear business metrics (e.g. MAU, retention)
• Product decision-making
• Future player performance insights
• Define and implement core data models (users, events, performance)
• Design and operate robust, production-grade data pipelines
• Establish a single source of truth for key business and product metrics
• Structure data for business and product analysis (retention, funnels, activation)
• Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.).
• Make pragmatic decisions on how data is stored, processed, and accessed
• Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value
• Ensure the architecture scales with product, AI, and data growth without overengineering
• Optimize pipelines for scalability, cost efficiency, and performance.
• Write clean, maintainable, and well-structured Python code following software engineering best practices.
• Work closely with Product, Engineering, AI, and Business teams.

Senior Data Engineer – Data Foundation, Analytics

• Own data quality standards, metric definitions, and data contracts to ensure reliable and trustworthy data
• Guide and coordinate a small data engineering team, providing technical guidance, test data integration, and day-to-day direction
• Design and contribute hands-on to ELT pipelines, data models, and source integrations across the platform
• Drive the ongoing Databricks migration from both a technical and product perspective
• Own the platform roadmap and OKRs in collaboration with senior leadership
• Gather and prioritize requirements from stakeholders across Product, Engineering, and the business and translate business needs into platform improvements, pipeline initiatives, dashboards, and analytics outputs
• Establish and manage a clear intake and prioritization process for platform and analytics requests
• Drive platform adoption through documentation, demos, and enablement activities

Senior Analyst – Data Platform

• Take on technical and analytical responsibility in Data Engineering and Data Science
• Design and implement state-of-the-art cloud data platforms
• Design, develop and operate cloud data projects
• Take responsibility for Big Data and Machine Learning projects
• Build advanced data architectures
• Advise clients and run workshops for requirements analysis

Data Engineer, Data Scientist

• Design, build, and operate production data pipelines that power Leadfeeder's product features — from ingestion through enrichment, processing, and serving.
• Build and maintain streaming and real-time ingestion systems that move event data through the platform at scale and with low latency.
• Own the cloud infrastructure underpinning the pipelines — compute, storage, networking, security, observability — designed and managed as code.
• Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows.
• Implement data quality, observability, and reliability controls across the pipelines so issues are caught early, incidents are short, and downstream teams can trust the data.
• Drive engineering practices across the team: code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline.
• Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems.

Senior Data Engineer, Platform Data

• Provide technical leadership and ownership for complex object storage projects across the EMEA region
• Advise customers of various industries and sizes on object storage architectures using NetApp solutions
• Analyze business requirements and translate them into appropriate technical solutions and target architectures
• Design, architect, and implement customer-specific object storage solutions
• Collaborate closely with Sales, Pre-Sales, and internal project teams
• Deliver technical workshops, architecture sessions, and customer briefings—both remotely and on-site

Data Architect

• Design, implement and operate solutions for HW design data migration within complex semiconductor HW design environments
• Set up, configure and validate temporary mitigation or transition systems for HW design data (e.g. EDA data management or configuration management systems)
• Develop data migration concepts and strategies for transitions between different HW design data management, configuration management and lifecycle systems (e.g. from legacy platforms to modern PLM/IPLM or version control solutions)
• Plan, execute and validate export and import procedures using sample, test and production data
• Define and document data topologies, vault / repository structures, data paths, mappings and inventories
• Develop, review and validate migration and automation scripts, ensuring data integrity, consistency, and completeness
• Support server-side and HW design infrastructure configurations, toolchain and EDA integrations (e.g. Cadence-based environments / DFII)
• Collaborate closely with engineering, IT and infrastructure teams and contribute to testing, reviews, documentation and end-user readiness

HW Design Data Migration Engineer, All Gender

• Design, build, and maintain scalable batch and streaming ETL data pipelines on cloud platforms (Databricks), using PySpark or Scala
• Develop new features, support maintenance, performance optimization, and continuous improvement of the data landscape
• Ensure data quality, integrity, and consistency across pipelines and datasets and implement monitoring, alerting, and observability for data infrastructure
• Work closely with data scientists, analysts, architects and business stakeholders to deliver fit-for-purpose data models
• Write clean, efficient, and maintainable code in line with established technical and quality standards
• Document pipelines, data contracts, and lineage; ensure compliance with data governance standards
• Continuously improve development processes by contributing ideas and feedback in retrospectives
• Act as a technical expert and provide guidance to junior and external developers in wind farm data initiatives

Data Engineer – Wind Energy

• Du arbeitest an der Automatisierung von Prozessen im Data Warehouse (DWH), insbesondere bei der Orchestrierung und Entwicklung von ETL-Strecken und übernimmst dabei eigene (Teil-)Aufgaben in der Programmierung.
• Du unterstützt bei Release-, Test- und Dokumentationsprozesse und nutzt dabei Tools wie JIRA zur Vorgangsverwaltung.
• Du unterstützt unser Team außerdem bei diversen Aufgaben rund um das Thema ETL-Prozesse sowie bei der Wartung und Weiterentwicklung unserer Datenlandschaft.
• Du arbeitest in kleinen, standortübergreifenden Teams zusammen und hast die Möglichkeit, aktiv deine eigenen Ideen einzubringen.

Werkstudent IT Data Warehouse

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases.
• Architect and contribute in implementing a scalable, modern data platform, including data lakehouse or warehouse.
• Optimize ETL/ELT pipelines using tools like DBT, Spark, or Airflow.
• Evaluate and integrate new technologies to support hybrid monolith-microservices architecture and ML and AI enablement.
• Build and optimize real-time data pipelines using Kafka, Spark, and Delta Live Tables.
• Support the team lead in establishing and enforcing data governance frameworks.
• Collaborate with the team to integrate AI/ML capabilities to accelerate data products for market penetration and operational efficiency.
• Mentor the team on best practices, modern tools (e.g., Databricks, Snowflake), and cloud-native scalability.
• Collaborate with Product Analytics, domain teams, and business to deliver data solutions that drive value.

Senior Data Engineer – Modern Data Platform, AI

• Dive deep into blockchain data (Ethereum and other L1/L2s) and enrich it with insights from various data providers.
• Build pipelines and infrastructure to power a variety of analytics and dashboards.
• Work across teams, design new features, and take ownership of sourcing, verifying, and maintaining high-quality data.

• Aufbau, Betrieb und kontinuierliche Weiterentwicklung von Datenpipelines für technische Produkt- und Antriebsdaten
• Integration, Harmonisierung und Modellierung von Daten aus verschiedenen Systemen und Quellen
• Entwicklung strukturierter und skalierbarer Datenmodelle als Grundlage für produktnahe Anwendungen und Tools
• Sicherstellung von Datenqualität, Konsistenz und Nachvollziehbarkeit über den gesamten Datenlebenszyklus
• Enge Zusammenarbeit mit Fachbereichen sowie Softwareentwicklung, Architektur und technischen Experten

Data Engineer – Produkt Integration

• Design, implement and operate solutions for hardware design data migration within complex semiconductor hardware design environments
• Set up, configure and validate temporary mitigation or transition systems for hardware design data (e.g., EDA data management or configuration management systems)
• Develop data migration concepts and strategies for transitions between different hardware design data management, configuration management and lifecycle systems (e.g., from legacy platforms to modern PLM/IPLM or version control solutions)
• Plan, execute and validate export and import procedures using sample, test and production data
• Define and document data topologies, vault/repository structures, data paths, mappings and inventories
• Develop, review and validate migration and automation scripts, ensuring data integrity, consistency and completeness
• Support server-side and hardware design infrastructure configurations, toolchain and EDA integrations (e.g., Cadence-based environments / DFII)
• Collaborate closely with engineering, IT and infrastructure teams and contribute to testing, reviews, documentation and end-user readiness

HW Design Data Migration Engineer

• Konzeption und Mitarbeit an der Migration des Data Warehouse auf eine zukunftsweisende Cloud-Infrastruktur (Databricks)
• Eigenverantwortliche Analyse, Vereinfachung und Automatisierung von Geschäftsprozessen in enger Abstimmung mit den Fachbereichen
• Kontinuierliche Optimierung der DWH-Architektur und Datenstruktur sowie Erarbeitung strategischer Zielbilder
• Integration neuer Datenquellen sowie Programmierung der ETL-Prozesse
• Fachlicher Austausch im Team zu Wissenstransfer und Cloud-Technologien
• Verantwortung für datengetriebene Konzeption bis hin zur Umsetzung

See all jobs on JobTailor

Senior Team Lead, Operational Data Services, Analytical Data Platform Services

Data Engineer

Core Solution & Data Architect – m/f/d

Technical Consultant – Data Engineering

Unit Lead – Data Engineer

Senior Consultant, Data Engineering, SAP BW / SAP Datasphere

Senior Data Engineer – Cloud, Products & Innovation

Senior Data Engineer – Data Foundation, Analytics

Senior Analyst – Data Platform

Data Engineer, Data Scientist

Senior Data Engineer, Platform Data

Data Architect

HW Design Data Migration Engineer, All Gender

Data Engineer – Wind Energy

Werkstudent IT Data Warehouse

Senior Data Engineer – Modern Data Platform, AI

Data Engineer

Data Engineer – Produkt Integration

HW Design Data Migration Engineer

Senior Data Engineer