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- Tasks: Design and build scalable data pipelines for cutting-edge AI and search solutions.
- Company: Join Elsevier, a global leader in information and analytics with an inclusive culture.
- Benefits: Enjoy flexible working hours, generous vacation, and comprehensive wellbeing initiatives.
- Why this job: Make a real impact on science and healthcare while advancing your career.
- Qualifications: Strong Python skills and experience with data engineering concepts required.
- Other info: Collaborative team environment with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‑driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‑scale search and analytics use cases. You will work hands‑on while also supporting and guiding other engineers.
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.
Responsibilities- Design, build, and maintain scalable data pipelines and services
- Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
- Work with technologies such as Python, Java, Spark, SQL, and Airflow
- Apply good software engineering practices, including testing, documentation, and CI/CD
- Contribute to cloud‑based systems (AWS), focusing on reliability, monitoring, and automation
- Collaborate with product, platform, and data science partners to deliver meaningful outcomes
- Support team learning through code reviews and knowledge sharing
- Experience working as a data or software engineer on production systems
- Strong skills in Python and experience with at least one backend language (such as Java)
- Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
- Experience building or operating data pipelines using tools like Spark and Airflow
- Familiarity with cloud platforms (AWS preferred) and production monitoring
- Clear communication skills and a collaborative approach to problem‑solving
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.
Work in a way that works for youWe 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.
Working flexible hoursFlexing the times when you work in the day to help you fit everything in and work when you are the most productive.
BenefitsWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- 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)
About The Business: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. 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.
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.
Senior Data Engineer I-Search and AI Platform in London employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer I-Search and AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. The more you rehearse, the more confident you'll feel when it’s showtime!
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer I-Search and AI Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, Java, and data pipelines. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Search and AI Platform. Let us know why you're excited about this opportunity!
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Include links or descriptions of your work with data lakes, batch processing, or any cloud-based systems. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Java, Spark, and Airflow. Brush up on your knowledge of data engineering concepts and be ready to discuss how you've applied these tools in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles and how you tackled them. This is your chance to demonstrate your collaborative approach and clear communication skills, which are crucial for working with product and data science partners.
✨Understand the Company’s Mission
Familiarise yourself with Elsevier's core products and their impact on the scientific community. Being able to articulate how your role as a Senior Data Engineer contributes to their mission will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the company culture. This not only shows your enthusiasm but also helps you gauge if the environment aligns with your work style and values.