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- Tasks: Design and maintain data products and pipelines for AI, ensuring data quality and security.
- Company: Abcam is a leader in scientific tools, driving breakthroughs in critical health areas for over 25 years.
- Benefits: Enjoy remote work options, a collaborative culture, and the chance to make a real-world impact.
- Why this job: Join a diverse team and contribute to innovative AI solutions that advance science and technology.
- Qualifications: BSc/MSc in Computer Science or STEM; experience with Snowflake, Python, SQL, and AWS preferred.
- Other info: This is a 12-month fixed-term contract with potential for extension.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Data Engineer role at Abcam Join to apply for the Data Engineer role at Abcam Get AI-powered advice on this job and more exclusive features. 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. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Information Technology Industries Medical Equipment Manufacturing Referrals increase your chances of interviewing at Abcam by 2x Get notified about new Data Engineer jobs in Cambridge, England, United Kingdom . 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Data Engineer employer: Abcam
Contact Detail:
Abcam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Snowflake and Redshift, as these are key technologies for the Data Engineer role. Consider setting up a personal project or contributing to open-source projects that utilise these databases to showcase your hands-on experience.
✨Tip Number 2
Network with current employees at Abcam or in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Stay updated on the latest trends in data engineering and AI by following relevant blogs, podcasts, and webinars. This knowledge will not only enhance your understanding but also give you talking points during interviews, demonstrating your passion for the field.
✨Tip Number 4
Prepare to discuss your experience with data pipelines and governance in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will show your problem-solving skills and practical knowledge in real-world scenarios.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Snowflake and AWS. Use specific examples to demonstrate your skills in building data products and pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with Abcam's mission. Mention your understanding of data governance and integration, and how you can contribute to their AI initiatives.
Showcase Technical Skills: Clearly list your technical skills such as proficiency in Python, SQL, and git. Provide examples of projects where you've successfully implemented these technologies, especially in relation to data architecture and security.
Highlight Collaborative Experience: Since the role involves collaboration across teams, include examples of past teamwork experiences. Emphasise your ability to work in diverse environments and how you’ve contributed to innovative solutions in previous roles.
How to prepare for a job interview at Abcam
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, SQL, and Python in detail. Bring examples of past projects where you designed data architecture or built data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarise yourself with Abcam's commitment to driving science forward. Be ready to explain how your skills and experiences align with their goals, particularly in relation to AI and data engineering.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to troubleshoot data issues or optimise data products, and be ready to walk through your thought process.
✨Emphasise Collaboration
Since the role involves working across teams, highlight your experience in collaborative projects. Share examples of how you’ve successfully worked with others to drive innovation and achieve common goals.
