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- Tasks: Design and build scalable data applications using cutting-edge technologies.
- Company: Join Elsevier, a global leader in information and analytics.
- Benefits: Flexible working hours, generous vacation, and comprehensive pension plan.
- Why this job: Make a real impact on science and healthcare with innovative solutions.
- Qualifications: Strong programming skills in Java and Python, experience in ETL and database systems.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
The Search and AI Platform is Elsevier’s agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently.
We are seeking an innovative and passionate principal data engineer to collaborate with our teams in building and enhancing our platform, delivering intelligent and scalable solutions that create real value for our clients.
Key responsibilities:- Designing, prototyping, and building robust and scalable applications, following clean code, secure and best-practice software engineering principles.
- Working with technologies including Python, Java (Spring Boot), Spark, Airflow, and various database technologies like search, graph, RDBMS and key value stores.
- Creating data pipelines (ELT and ETL) for bulk data ingestion into various database systems, ensuring scalability, cost and performance optimisation.
- Working with data engineering and warehousing technologies like Data Lake, Delta Lake, Iceberg and similar standards.
- Generating embeddings for ingestion with the latest models at scale.
- Building cloud infrastructure in AWS to host and monitor the services, automating common tasks.
- A passionate engineer with strong commercial software engineering experience delivering server-side applications.
- Good experience in ETL, Spark, Airflow.
- Experience in Database systems.
- Excellent programming skills with Java and Python.
- An advocate of best-practices for rapid development of quality software, including clean code, architectural design patterns, CI/CD.
- Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem.
- An inclusive, positive, collaborative mindset and a desire to deliver real business value to our customers.
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Working flexible hours:We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Benefits:- Comprehensive Pension Plan.
- Home, office, or commuting allowance.
- Generous vacation entitlement and option for sabbatical leave.
- Maternity, Paternity, Adoption and Family Care leave.
- Flexible working hours.
- Personal Choice budget.
- Internal communities and networks.
- Various employee discounts.
- Recruitment introduction reward.
- Employee Assistance Program (global).
At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Principal Data Engineer in London employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, Java, and data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your experience with ETL, Spark, and cloud infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at Elsevier.
We think you need these skills to ace Principal Data Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Data Engineer role. Highlight your experience with Python, Java, and ETL processes, as well as any relevant projects that showcase your skills in building scalable applications.
Showcase Your Passion: We love seeing candidates who are genuinely excited about data engineering! Share your enthusiasm for innovative technologies and how you've applied them in past roles. This will help us see your fit within our collaborative culture.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. We appreciate clarity and want to quickly understand your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our official website! This ensures that your application is processed correctly and gives you the best chance of being considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Elsevier
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Java (Spring Boot), Spark, and Airflow. Brush up on your knowledge of database systems and data engineering technologies, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and built scalable applications or data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your contributions created real value.
✨Emphasise Collaboration
Since the role requires working with various teams, be ready to talk about your experience in collaborative environments. Share instances where you’ve worked effectively with others to deliver projects, showcasing your inclusive and positive mindset.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or how they approach innovation in their data platform. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
