About the role

(Senior) Ab Initio Developer needed for implementing data pipelines and managing ETL processes. Join our dynamic Data Science team at Alexander Thamm GmbH.

Responsibilities

Collaborate with Data Architects, Business Analysts and infrastructure teams to implement solutions
Develop, optimize and maintain complex ETL processes using Ab Initio to efficiently process large volumes of data from diverse source systems
Deploy, administer and configure core Ab Initio components such as the Graphical Development Environment (GDE), Co>Operating System, Express>It and Metadata Hub
Design and implement robust data pipelines for batch and streaming processing
Ensure data quality, integration and modeling within modern data engineering architectures
Use the Ab Initio Metadata Hub for documentation, lineage analysis and data governance
Perform performance tuning and root-cause analysis for complex graphs and processes to stabilize production operations
Actively contribute to projects in the areas of Data Governance, data catalogs and regulatory requirements (e.g. DORA)
Document and present technical solutions to internal and external stakeholders

Degree in (business) computer science, mathematics, engineering or a comparable qualification
Fluent communication skills in German and English
Deep expertise with Ab Initio (minimum 3–5 years), particularly with GDE, Co>Operating System, Express>It and Metadata Hub
Several years of experience in developing and maintaining complex ETL architectures
Strong SQL skills and experience with databases (e.g. Oracle, Teradata, PostgreSQL) as well as Unix/Linux scripting
Solid understanding of metadata management, data lineage and data governance
Experience in performance optimization and debugging of complex ETL processes
Knowledge of batch and streaming processing (e.g. Kafka, Spark) is an advantage
Strong consultant profile with the ability to confidently guide clients through complex technical projects
Experience in agile project environments and comfortable working with tools such as Jira and Confluence
Analytical thinking, high quality orientation and a structured way of working
Strong communication and teamwork skills for effective coordination with technical and business stakeholders

Trust-based working hours with flexible scheduling — fully remote or at one of our modern city-centre offices (including a roof terrace)
Workation — the option to work from another EU country
Unique team atmosphere, flat hierarchies up to our CEO Alex and an open feedback culture
Annual team workshops at our Data.Castle in the Zillertal
Lived Data.Musketeer principle – “one for all, all for one!”, and our @Buddy program for better networking
Regular professional and recreational events, dog-friendly offices
Intensive onboarding and training process
Personal development plan and individual training opportunities
Wide range of workshops and training within the Data.Academy led by our experienced Data.Musketeers and external providers
Leadership, project management and expert career paths
Childcare subsidy
Company pension scheme with a 20% employer contribution
Numerous corporate benefits and employee offers (e.g. for events and travel)
Starting credit in our internal merchandise shop
Competitive salary with variable components
Mental health & wellbeing support as well as coaching and meditation
Fitness and yoga rooms in the Munich office
Regular employee satisfaction surveys
EGYM Well Pass membership with Plus1 option
Bike leasing via JobRad after the probationary period
Internal groups for sporting activities
Free hot and cold beverages and fresh fruit in the office
Roof terrace (with grill)