At a Glance
- Tasks: Build secure and scalable data infrastructure to support global operations.
- Company: Join a global leader in information and analytics, making a real impact.
- Benefits: Enjoy flexible working hours, generous holiday allowance, and wellbeing initiatives.
- Why this job: Be part of innovative projects that enhance decision-making and drive societal benefits.
- Qualifications: Experience with modern data stack technologies and strong collaboration skills required.
- Other info: Work in an inclusive, agile environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
- 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 Style
Work in a way that works for you. 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.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Benefits and Working Arrangements
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we offer an appealing working prospect. We provide wellbeing initiatives, shared parental leave, study assistance and sabbaticals to help you meet immediate responsibilities and long-term goals.
- Working remotely from home or in our office in a flexible hybrid style
- Working flexible hours to fit your day
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 with time for focused learning and development
- 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 to support charities and causes
- Access to employee resource groups with volunteer time
- Access to extensive learning and development resources
- 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. We combine quality information and vast data sets with analytics to support visionary science and research, education and healthcare. At Elsevier, your work contributes to global challenges and a more sustainable future.
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.
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Senior Data Engineer I employer: RELX Group
Contact Detail:
RELX Group 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 your connections on LinkedIn or attend industry meetups. 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 using Airflow, Snowflake, or any relevant tech. 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. Think about how you’d tackle real-world problems and be ready to share your thought process.
✨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 about their job search.
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 to highlight your experience with data orchestration and transformation solutions. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!
Showcase Your Tech Skills: Since we’re all about modern data stack technologies, be sure to mention your experience with tools like Airflow, Snowflake, and DBT. If you’ve got any cool projects using Python or SQL, let us know – we love seeing practical examples!
Communicate Clearly: Strong communication is key in our collaborative environment. When writing your application, keep it clear and concise. Use straightforward language to explain your past experiences and how they relate to the role – we appreciate a good storyteller!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at RELX Group
✨Know Your Tech Stack
Make sure you’re well-versed in the modern data stack technologies mentioned in the job description, like Airflow, Snowflake, and DBT. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your ability to create deployable data pipelines during the interview.
✨Showcase Collaboration Skills
Since this role involves working across teams, be prepared to discuss your past experiences collaborating with others. Share specific examples of how you’ve established coding standards or contributed to team projects, highlighting your strong communication skills and openness to feedback.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about potential gaps in data platforms or challenges in DataOps initiatives, and be ready to explain how you would address these issues. This will show your proactive approach and understanding of the role's responsibilities.
✨Understand the Company’s Mission
Familiarise yourself with RELX's mission and values. Be ready to discuss how your work as a Senior Data Engineer I can contribute to their goal of benefiting society through data-driven solutions. This demonstrates your alignment with the company culture and your commitment to making a positive impact.