Data & Integration Engineer

Boehringer Ingelheim

Data and Integration Engineer developing cloud-based solutions for scientific platforms. Focus on scalable data delivery for analytics and machine learning.

Posted 4/20/2026full-time🇦🇹 AustriaMid-LevelSenior💰 €64,170 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerETLLinuxOpenShiftPostgresSparkSQLUnix

About the role

Key responsibilities & impact

Develop, evolve and adapt system architecture to enhance platforms supporting the development of scientific tools and models (e.g. data lakes, data warehouses, integration frameworks, distributed computing, and OpenDevStack and OpenShift), with a strong focus on data quality, security and governance.
Implement and optimize data integration and processing solutions using modern technologies (e.g. cloud services, ETL/ELT frameworks, SQL, and big data tools) to ensure performance and scalability.
Collaborate closely with researchers, data scientists, and business stakeholders to understand requirements and translate them into robust, cloud-based data solutions.
Design, build, and operate scalable integration solutions to enable reliable, high-quality data delivery for analytics, AI, machine learning use cases, and partner systems.
Build new solutions within corporate environments and bring cross-functional teams together to drive successful delivery.

Requirements

What you’ll need

Strong foundation in HPC and Linux/Unix, with hands-on experience in HPC environments, job schedulers (e.g. SLURM), and container technologies such as Singularity.
Practical experience with containerized and cloud-native platforms, including OpenShift and Docker, along with a solid understanding of modern deployment concepts.
Working knowledge of PostgreSQL and general relational database concepts, including querying, integration, and basic performance optimization.
Experience with workflow orchestration and data pipelines, ideally using Nextflow (considered a strong plus, but not mandatory).
Knowledge of cloud-based data platforms and services, preferably with hands-on experience with AWS (e.g. S3, Lambda, Glue, Step Functions, Spark) and related technologies such as Snowflake or Databricks, combined with strong analytical skills, a collaborative mindset, and excellent English communication, with a focus on quality, documentation, and engineering best practice.

Benefits

Comp & perks

Flexible working time models: home office and flexible working hours, depending on department and position – many things are possible with us.
Additional days off (“bridge-days”): more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.
Canteen & Cafeteria: whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
Learning & development: diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
Health promotion: health is important to us – that's why we offer different programs to promote physical and mental health.
Public transport ticket: we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

HPCLinuxUnixdata integrationETLELTSQLPostgreSQLworkflow orchestrationdata pipelines

Soft Skills

collaborative mindsetanalytical skillsexcellent communicationfocus on qualitydocumentationengineering best practices