Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Ulm, Heidelberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop modern data architectures, design and optimize data pipelines, and provide data for analytics and AI applications while collaborating closely with clients and stakeholders.
Job Technologies
Your role in the team
- Participation in data and digitization projects as well as active shaping of modern data architectures.
- Analysis of technical requirements and translation into technical specifications in close coordination with clients and stakeholders.
- Development and optimization of data models (e.g., Star Schema, Data Vault).
- Design, development, and operation of data pipelines (ETL/ELT, batch and streaming).
- Integration, transformation, and modeling of structured and unstructured data.
- Ensuring data quality, data consistency, and monitoring of data flows.
- Provision of data for analytics, reporting, and AI applications (e.g., via APIs and services).
- Implementation and further development of cloud-based data platforms (e.g., AWS, Azure, Snowflake).
- Performance and cost optimization of data processing and platforms.
- Consulting clients on data architectures and data-driven solutions.
- Collaboration with data scientists, software developers, and business units.
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Our expectations of you
Education
- Completed degree in Computer Science, Mathematics, Physics, or equivalent practical experience.
Qualifications
- Very good knowledge of SQL as well as at least one programming language (e.g., Python, Scala, or Java).
- Knowledge of cloud technologies (e.g., AWS, Azure).
- Interest in the use of AI-powered tools to enhance development efficiency and code quality.
- Structured working style as well as very good German and English skills.
- Willingness to occasional travel.
Experience
- Practical experience in Data Engineering or related fields.
- Experience in data modeling as well as with ETL/ELT processes.
- Experience in building and operating data pipelines.
- Experience with Big Data and streaming technologies (e.g., Spark, Kafka).
- Ideally experience with data platforms (e.g., Snowflake, Databricks, Microsoft Fabric).
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What we offer
- You can expect an agile environment with short decision-making paths and plenty of scope for creativity.
- We actively promote your professional and personal development — whether as an expert, in project responsibility, or with a view towards architecture or management.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
HMS
As a Heidelberg-based IT consulting and development company, we have been developing custom BI and analytics solutions for all industries since 1989, with a focus on life sciences and finance.
Description
- Founding Year
- 1989
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer - Data Platforms & Data Pipelines
- Location
- Ulm, Heidelberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
