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- Tasks: Join our Data Engineering team to create impactful data solutions and optimise data pipelines.
- Company: Abcam has been empowering scientific breakthroughs for over 20 years, tackling critical health challenges.
- Benefits: Enjoy hybrid working, competitive salaries, generous parental leave, and tailored flexible benefits.
- Why this job: Be part of a diverse team making a real difference in global health through innovative data solutions.
- Qualifications: BSc in Computer Science or related field with strong SQL skills and cloud data stack experience required.
- Other info: This is a fixed-term contract until the end of 2024, offering growth opportunities in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
For over 20 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 in new ways. We need your own unique perspective as well as this of our people to make an always greater impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward.
Data Engineering at Abcam
We are seeking a Data Engineer to join our Data Engineering team at our Cambridge Head Office. The ideal candidate will collaborate with engineers, analysts, and end users to create integrated solutions that support our products. We value proactive individuals who own their solutions and leverage technology to impact our business. The role offers hybrid working: 3 days in the office and 2 days remote.
In this role, you will:
- Promote best practices for data products and services within your team.
- Collaborate to identify, plan, develop, and deliver data services for key projects.
- Work with Digital team members to support various workstreams.
- Manage and analyze data securely, efficiently, and with proper governance.
- Implement and optimize data pipelines, modelling, and availability to accelerate deployment.
- Ensure high-quality delivery aligned with business needs.
- Partner with data architects, TechOps engineers, and stakeholders to build high-performing solutions.
- Apply pragmatic and innovative approaches to data-driven decision making.
- Collaborate across teams to resolve software and integration issues.
Qualifications
Applicants should have a BSc in Computer Science, Applied Mathematics, or a related field, with substantial technical experience. Experience with modern cloud data stacks, especially AWS, and integration of in-house and vendor components is essential. Strong SQL skills and data modelling expertise are required, along with creative problem-solving abilities. Experience in digital transformation projects and influencing change will be advantageous.
Additional Information
We offer flexible benefits tailored to individual needs, including competitive salaries, 18 weeks paid maternity leave, 6 weeks paternity leave, flexible working arrangements, and development opportunities. At Abcam, we foster an inclusive environment that celebrates diversity and supports your growth. Join us in our mission to partner with the scientific community and help solve the world’s most critical diseases.
Data Engineer (FTC until end 2024) employer: Abcam
Contact Detail:
Abcam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (FTC until end 2024)
✨Tip Number 1
Familiarise yourself with Abcam's mission and values. Understanding their commitment to scientific breakthroughs will help you align your answers during interviews, showcasing how your skills and experiences can contribute to their goals.
✨Tip Number 2
Brush up on your knowledge of AWS and modern cloud data stacks. Since experience in these areas is essential for the role, being able to discuss specific projects or challenges you've faced with these technologies will demonstrate your expertise.
✨Tip Number 3
Prepare examples of your collaborative work. As the role involves working closely with engineers, analysts, and stakeholders, having concrete examples of successful teamwork will highlight your ability to thrive in a collaborative environment.
✨Tip Number 4
Showcase your problem-solving skills by discussing past experiences where you implemented innovative solutions. This will resonate well with Abcam's focus on pragmatic approaches to data-driven decision making.
We think you need these skills to ace Data Engineer (FTC until end 2024)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Engineer position at Abcam. Understand the key responsibilities and qualifications required, as this will help you tailor your application.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your technical expertise in cloud data stacks, SQL, and data modelling, as well as any experience in digital transformation projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Abcam's mission. Mention specific examples of how your skills and experiences can contribute to their goals, particularly in supporting scientific breakthroughs.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a data-driven role.
How to prepare for a job interview at Abcam
✨Understand the Company and Its Mission
Before your interview, take some time to research Abcam's mission and values. Familiarise yourself with their work in critical areas like cancer and neurological disorders. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their mission.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with modern cloud data stacks, particularly AWS, and your strong SQL skills. Bring examples of past projects where you've implemented data pipelines or worked on digital transformation initiatives. This will highlight your technical expertise and problem-solving abilities.
✨Emphasise Collaboration and Communication
Since the role involves working closely with engineers, analysts, and stakeholders, be ready to share examples of how you've successfully collaborated in previous roles. Highlight your ability to communicate complex technical concepts to non-technical team members, as this is crucial for effective teamwork.
✨Prepare Questions About the Role
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful questions about the Data Engineering team's current projects, challenges they face, and how success is measured in the role. This shows your enthusiasm and helps you assess if the position is the right fit for you.
