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For Companies At a Glance
- Tasks: Build secure, scalable data infrastructure and collaborate on impactful data solutions.
- Company: Join a global leader in information and analytics with a fun, inclusive culture.
- Benefits: Generous holiday allowance, health benefits, learning opportunities, and flexible working arrangements.
- Why this job: Make a real impact by enabling effective data sharing and storytelling for colleagues and customers.
- Qualifications: Experience with modern data stack technologies and strong collaboration skills.
- Other info: Enjoy a dynamic environment with excellent career growth and wellbeing initiatives.
The predicted salary is between 36000 - 60000 £ per year.
About the Team
The Academic Information Systems (AIS) DataOps team is a shared technology group responsible for building, administering, governing, and setting standards for a growing number of strategic data platforms and services. Our capabilities enable data to be extracted, centralized, transformed, transmitted, and analyzed across a range of products in the AIS space. Due to our footprint across the enterprise, we are relied upon to ensure our systems are trusted, reliable and available. The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Astronomer/Airflow, Kubernetes, DBT, Tableau, Sisense, Collibra, and Kafka/Debezium. Our mission is to enable frictionless experiences for our AIS colleagues and customers so that they can openly and securely consume trustworthy data, enhancing everyday interactions and decisions.
About the role
As a Senior Data Engineer I, you will play a key role in building secure, scalable, and reliable data infrastructure that supports our global operations. You will collaborate across teams to facilitate the smooth flow of data, ensuring high-quality information is available for analysis and decision-making. Your work will help drive impactful solutions for colleagues and customers by enabling effective data sharing and storytelling.
Responsibilities
- Design and implement robust data orchestration and transformation solutions.
- Ensure reliable delivery of high-quality data for analysis and sharing.
- Collaborate across teams to establish and promote coding and technical standards.
- Work with DevOps to automate deployments and use Infrastructure as Code (IaC) for consistent environments.
- Develop reusable frameworks, modular components, and common patterns for efficient and reliable deployment using Airflow.
- Document and share best practices, fostering knowledge exchange among teams.
- Enhance platform reliability and scalability through improved logging, monitoring, and observability.
- Identify and address data platform gaps, support DataOps initiatives, and incorporate user feedback.
Requirements
- Experience with modern data stack technologies such as Airflow, Snowflake, and DBT. Relevant Tableau, Sisense, AWS, GitHub, Terraform, and/or Docker experience is also highly desirable.
- Ability to create deployable data pipelines and ETL/ELT solutions using Python, SQL, or Jinja.
- Knowledge of Software Development Life Cycle (SDLC), DataOps, and DevOps practices.
- Active participation in Agile environments and willingness to continuously improve.
- Strong communication and collaboration skills; openness to feedback and new ideas.
- Familiarity with designing secure, scalable, and cost-effective cloud-based data solutions.
- Understanding of data governance, privacy, and security practices.
Work in a way that works for you
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that 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 long-term goals.
- Working remotely from home or in our office in a flexible hybrid style.
- Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working with us
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co‑workers who are passionate about what they do, and how they do it.
Working for you
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Long service awards.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Maternity, paternity and shared parental leave.
- Access to emergency care for both the elderly and children.
- RELX Cares days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts via Perks at Work.
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 the Applicant Request Support Form or please contact 1-855-833-5120.
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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.
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Senior Data Engineer I employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer I
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you're aiming for a Senior Data Engineer role, be ready to discuss your experience with tools like Airflow, Snowflake, and DBT. Practice coding challenges and be prepared to explain your thought process.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to share examples of how you've tackled data challenges in the past. This will demonstrate your ability to think critically and adapt to new situations, which is key for this role.
✨Tip Number 4
Don’t forget to follow up after your interview! A simple thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great opportunity to reiterate why you’re a perfect fit!
We think you need these skills to ace Senior Data Engineer I
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer I role. Highlight your experience with data stack technologies like Airflow and Snowflake, and show how your skills align with our mission at StudySmarter.
Showcase Your Collaboration Skills: We love teamwork! In your application, mention any past experiences where you collaborated across teams or contributed to Agile environments. This will help us see how you can fit into our inclusive and innovative culture.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and technical skills. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re 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
Familiarise yourself with the technologies mentioned in the job description, like Airflow, Snowflake, and DBT. Be ready to discuss your experience with these tools and how you've used them to build data pipelines or ETL/ELT solutions.
✨Showcase Collaboration Skills
Since the role involves working across teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and openness to feedback, as these are crucial for fostering a positive team environment.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles related to data infrastructure or governance. Be ready to explain how you identified the problem, the steps you took to resolve it, and the impact of your solution.
✨Prepare Questions
Have a few thoughtful questions ready about the team's current projects or challenges they face. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.