Senior Snowflake Software Engineer

Jobs2Web

Sant Cugat del Vallès

On-site

EUR 90,000 - 120,000

Full time

44 hours ago
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Benefits offered by this job

Flexible working conditions
Life and accident insurance
Health insurance
Learning and development
Gym membership discounts

Job summary

Boehringer Ingelheim is seeking a Snowflake Data Architect to design, build, and optimize data solutions across our data platforms. You will shape scalable data warehouses on Snowflake, model data for BI and analytics, and collaborate with cross-functional teams to meet business needs.

The role requires deep Snowflake expertise, strong SQL and ETL/ELT skills, and experience with AWS/Azure/GCP. You will mentor junior engineers and influence data governance and security practices.

Qualifications

  • At least 5+ years in data warehousing with 3+ years on Snowflake.
  • Deep knowledge of Snowflake administration, security, and permissions.
  • Strong SQL, ETL/ELT, and cloud data platform expertise (AWS/Azure/GCP).
  • Certifications like Snowflake Advanced Administrator or Data Engineer are highly preferred.

Responsibilities

  • Design and Architect scalable data warehousing on Snowflake.
  • Develop robust data models to support BI and analytics.
  • Build and maintain ETL/ELT pipelines using Snowflake features and tools.
  • Tune performance of queries, tables, and data processing.

Skills

Data modeling
Problem solving
Communication
Team collaboration

Education

Bachelor's or Master's in Computer Science/Data Science/related

Tools

Snowflake
SQL
Airflow
Jenkins
OpenShift
dbt
SnapLogic
Attacamma
AWS
Azure
GCP
Python

Job description

At Boehringer Ingelheim, we are shaping the future of healthcare through data. As the driving force behind our global data platforms, we empower teams across the company to unlock the full potential of data and foster a truly data-driven culture.

Our mission is to build and evolve our proprietary robust, scalable, and secure platforms using cutting-edge technologies like Amazon Web Services (AWS) and Snowflake. These platforms are the foundation of our data ecosystem—enabling innovation, accelerating insights, and delivering real value to the business.

We apply modern software engineering practices with a strong focus on automation, agility, and continuous improvement. If you're passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.

We're looking for a highly skilled Snowflake Data Architect to join our team. The ideal candidate will be a certified expert in Snowflake, passionate about designing, building, and optimizing data solutions to drive business intelligence and analytics.

Tasks and responsibilities

  • Design and Architect: Create and implement scalable and efficient data warehousing solutions on the Snowflake platform.
  • Data Modeling: Help the use cases to develop robust data models, including dimensional and normalized structures, to support business requirements.
  • ETL/ELT Development: Help on the Design, develop, and maintain data pipelines using Snowflake features and third-party tools (e.g., dbt, Snaplogic, Attacamma).
  • Performance Tuning: Optimize Snowflake queries, tables, and overall performance to ensure efficient data processing.
  • Security and Governance: Establish and enforce best practices for data security, access control, and governance within the Snowflake environment.
  • Mentorship: Guide and mentor junior data engineers and analysts on Snowflake best practices.
  • Collaboration: Work closely with cross-functional teams, including business stakeholders, data scientists, and analysts, to understand and meet their data needs.
  • Documentation: Maintain comprehensive documentation of all data architectures, models, and processes.

Requirements:

  • Experience: At least 5+ years of experience in data warehousing and a minimum of 3+ years specifically with Snowflake.
  • Deep knowledge of Snowflake administration: security, permissions management, analyzing logs and developing recommendations and best practices.
  • Technical Skills: Deep expertise in SQL, Airflow, Jenkins, Openshift, data modeling, ETL/ELT processes, and a strong understanding of cloud data platforms (AWS, Azure, or GCP).
  • Proficient in python and SQL.
  • Certifications: Snowflake Certified Advanced Administrator and/or Snowflake Certified Data Engineer are highly preferred. Other relevant certifications like SnowPro Core are a plus.
  • Soft Skills: Strong problem-solving, analytical, and communication skills. Must be a proactive team player.
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Please note:The job title used in this advertisement may differ from the official contractual title.#IamBoehringerIngelheim because…

We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:

  • Flexible working conditions
  • Life and accident insurance
  • Health insurance at a competitive price
  • Investment in your learning and development
  • Gym membership discounts
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