Senior Data Specialist (IT Data)

Quick Facts

• Role: (Senior) Data Specialist for IT Data

• Focus: ETL/ELT, data integration, data modeling, and data quality in an agile environment

Description

In this role you develop and implement ETL processes, including data migration and integration, data modeling, and ensuring data quality for data applications. You expand a data center and data usage in projects, analyze and optimize data and data models, and support agile delivery with documentation and KPI-driven improvements. You also evaluate new technologies and ensure compliance and IT security requirements for data and data exchange, including data transfer to an international Google Cloud Platform data-warehouse solution.

Responsibilities

• Develop and implement ETL/ELT processes for data migration and integration

• Own data modeling and ensure data quality for data applications

• Develop and optimize the data center and data usage aligned with agreed architectures and development processes

• Analyze, develop, and optimize data, data models, and their usage

• Participate in agile ceremonies (e.g., Scrum meetings), support estimation, and document progress in Jira

• Define KPIs for data quality and implement improvement measures

• Coordinate with Product Owner, project management, developers, DevOps, and testers across and within squads

• Align effort and technical solutions for development planning and document results in Confluence

• Assess new technologies and methods for their impact on existing data models and applications

• Ensure compliance and IT security requirements related to data and data exchange

• Support data consolidation and storage, data exchange between DWHs and source systems, and data transfer to the international GCP-based data warehouse

Requirements

• Completed degree in Computer Science, Business Informatics, or a related field

• Experience with relational databases, ETL/ELT, and data integration

• Experience with data modeling and DWH architectures, ideally using Qlik Talend

• Knowledge of Java, Spring Boot, Git, SQL, DataVault, XML, REST APIs, and JSON

• Experience with cloud data platforms

• Ability to apply best practices, design patterns, clean code, and semantic versioning

• Structured working style, strong analytical thinking, and high quality/responsibility

• Strong communication, teamwork, and entrepreneurial mindset

• Agile mindset with experience in agile environments

• Fluent German and English

Benefits

• Team-oriented culture with high room for shaping decisions

• Flexible working hours and a share of remote working

• In-house training academy with technical and soft-skill training

• Modern office equipment

• Vehicle leasing and job bike leasing

• Employer-funded company pension plan

• Opportunity to work in an international context