Data Engineer

Danaher; Cambridge; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the scientific community is seeking a Data Engineer to ensure data availability and security through modern data warehousing solutions. This role involves building robust data products and pipelines for AI, with opportunities for collaboration and innovation within a diverse team. The position offers a 12-month fixed-term contract with the possibility of extension, and can be onsite or remote in Cambridge, UK.

Qualifications

• Experience with Snowflake database administration.
• Proficiency in Python, git, SQL, AWS and Snowflake.

Responsibilities

• Build and optimize data products and pipelines from various sources.
• Administer and maintain databases ensuring optimal performance.
• Collaborate across teams to drive AI innovation.

Skills

Python

SQL

Data Engineering Best Practices

Education

BSc or MSc in Computer Science / STEM

Tools

Snowflake

AWS

git

Job description

For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.

We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward.

The Data Engineer will be responsible for ensuring data availability, reliability and security, through the administration of modern data warehousing solutions, as well as spearheading the design, build, and maintenance of robust data products and pipelines for AI.

This position reports to the AI Sales Integration Manager and is part of the Data Science and AI Team at Abcam / Danaher and can either be onsite in Cambridge, UK, or remote.

This role will initially be a 12-month fixed-term contract with the possibility of extension.

In this role, you will have the opportunity to:

• Build and optimize data products and pipelines from various sources, ensuring data availability, quality, and reliability.
• Administer and maintain databases (Snowflake, Redshift), ensuring optimal performance and reliability, with a focus on the design, implementation and management of data models, schemas and tables.
• Manage user access, roles, and permissions.
• Support data needs, governance and management, and ensure seamless integration with new and existing Data and AI systems.
• Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team.

The essential requirements of the job include:

• BSc or MSc in a field related to Computer Science / STEM (or equivalent proven experience).
• Experience with Snowflake database administration.
• Experience designing data architecture, database networking, maintaining data security, and configuring user access and authentication protocols in a modern data warehouse.
• Proficiency in Python, git, SQL, AWS and Snowflake.
• Strong understanding of data engineering best practices, and experience with data pipelines, data structures, data platforms, data integration and data governance.

It would be a plus if you also possess previous experience in:

• Experience building and managing AWS cloud infrastructure.
• Experience in feature engineering for data consumption by AI Applications.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.