Data Engineer (m/f/d) - 100%

Data Engineer (m/f/d) - 100%

Background:
As a Senior Data Engineer at Diagnostics Operations Rotkreuz, you will lead the development and optimization of a robust data infrastructure that drives our DOD operations and data products. In this strategic role, you'll work closely with multidisciplinary teams - including data scientists, subject matter experts, and fellow data engineers - to design, transform, and enhance data assets that are foundational to our advanced modelling approaches. You'll take a lead role in shaping and scaling data product standards across DIA Global Operations, ensuring alignment, quality, and impact at the organisational level. Beyond hands-on contributions, you'll provide technical guidance to juniors and fellow data engineers alike, establishing best practices and fostering a culture of innovation.

The perfect candidate
The perfect candidate has a Master's degree in Computer Science or Data Engineering and brings over 5 years' experience in data engineering with a track record in architecting and scaling large data systems. Also we are looking for someone with proven experience in building and managing data pipelines and products.

Tasks & Responsibilities:
* Lead Data Pipelines & Storage: Design and build scalable data pipelines for Real Time and batch processing. Drive architectural decisions and long-term planning for scalable, FAIR data products.
* High-Quality Data Products: Create high-quality data products adhering to FAIR principles. Address complex challenges, ensure compliance, and make strategic decisions to shape
* data roadmaps.
* Collaboration & Integration: Model data landscapes, acquire data extracts, and define secure exchange methods in collaboration with experts and cross-functional teams.
* Data Ingestion & Processing: Ingest and process data from diverse sources into Big Data platforms (eg, Snowflake). Develop ERDs and reusable pipelines for advanced analytics.
* Technical Guidance & Governance: Contribute to our Data Mesh Engineering Collective to establish data governance standards, ensure regulatory compliance and data security. Mentor others and promote best practices.
* Information Security & Infrastructure Collaboration: Ensure adherence to information security standards. Collaborate with infrastructure teams for tailored tech stacks. Make independent decisions on data strategies.
* Innovation & Knowledge Sharing: Shape the data engineering roadmap and set standards for data quality and governance. Proactively share best practices.
* Technical Proficiency: Maintain proficiency in data engineering tech stacks, data quality, and observability tools (eg, Ataccama, Monte Carlo).
* Adherence to Standards: Ensure compliance with relevant guidelines and data governance standards. Develop long-term enterprise tools.

Must Have:
* Master's degree in Computer Science, Data Engineering, or a related field.
* Over 5 years in data engineering with a track record in architecting and scaling large data systems.
* 5+ years of experience in leading and mentoring data engineers.
* Proven experience in building and managing data pipelines and products.
* Skilled in handling structured, semi-structured, and unstructured data.
* Proficiency in Python, Java, SQL, or Scala, and experience with big data technologies (eg, Hadoop, Spark).
* Expertise in multiple cloud platforms (AWS, Azure, GCP) and data warehousing technologies (preferably Snowflake).
* Deep understanding of Information Security to ensure compliant handling and management of process data.
* Familiarity with data modelling and ETL tools.
* Knowledge of version control systems like Git and CI/CD pipelines.
* Proficiency in implementing robust testing practices and monitoring pipelines for performance, reliability, and data quality.
* Client-facing project experience.
* Proven ability to communicate complex solutions to varied technical audiences.
* Strong organizational and interpersonal skills for delivering results and optimizing resources.
* Ability to work independently and collaboratively within a team environment.
* Strong ability to influence

Nice to Have:
* 3+ years of experience in the pharmaceutical or healthcare industry.
* Experience with REST APIs and integrating data from various sources.
* Knowledge of regulatory requirements (eg, GMP, FDA) and Quality systems.
* Experience with AI-driven data solutions and machine learning pipelines.
* Experience with ML platforms (eg, Dataiku).
* Knowledge of software engineering best practices (code reviews, testing, maintainability).

Reference nr.: 924353SDA
Role: Data Engineer 100%
Industry: Pharma
Workplace: Rotkreuz
Workload: 100%
Earliest start date: ASAP
Latest start date: 01.09.2025
Duration: 31.08.2026 (Possible Extension)

If you are interested in this position, please send us your complete CV.

About us:
ITech Consult is an ISO 9001:2015 certified Swiss company with offices in Germany and Ireland. ITech Consult specialises in the placement of highly qualified candidates for recruitment in the IT, Life Science & Engineering sectors. We offer recruitment & payroll services. This is free of charge for our candidates and we do not charge any additional fees for payroll services.