Data & Integration Engineer

Boehringer Ingelheim
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 64K

Job location

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Apache HTTP Server
Data as a Services
Data Architecture
Information Engineering
Data Governance
Data Integration
ETL
Data Warehousing
Machine Learning
SQL Databases
Data Streaming
Parquet
Data Storage Technologies
Snowflake
Data Lake
Information Technology
Kafka
Data Pipelines

Job description

As of now we are seeking a skilled and motivated Data Engineer to join the IT RDM CI Data Excellence team. In this role, you will enable fast and reliable data delivery to the right environments, supporting cutting-edge use cases in Artificial Intelligence (AI) and Machine Learning (ML). You'll work closely with researchers, data scientists, and analysts your work will empower our researchers to achieve breakthrough therapies for our patients., * Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.

  • Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks.
  • Optimize and manage data storage solutions and data integrations (e.g., S3, Snowflake, dbt, Snaplogic) ensuring data quality, integrity, security, and accessibility.
  • Utilize AWS cloud services (e.g., S3, Lambda, Step function, KMS) to support data engineering workflows.
  • Monitor and optimize data pipelines for performance, scalability, and cost efficiency., * 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 its 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 - thats 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!

Requirements

  • Bachelor's/ Master's degree in Computer Science, Engineering or related field, or equivalent proven experience as a Data Engineer, Software Developer or similar role.
  • Proficiency with the Apache ecosystem (Spark, Parquet, Iceberg, Kafka, Airflow) and advanced SQL expertise for building data models, writing highly optimized queries, and improving performance at scale.
  • Demonstrated hands-on experience with AWS data services (Kinesis, Glue, Appflow, Lambda, S3), Snowflake and dbt (dbt labs) for building and modeling data pipelines.
  • Strong analytical skills working with unstructured datasets.
  • Excellent English written and verbal communication skills.

Benefits & conditions

The remuneration for this position starts at EUR 64.170 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.

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