Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and support data engineering projects, managing real-time data pipelines.
- Company: Join a forward-thinking tech company focused on innovative data solutions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data technology with impactful projects.
- Qualifications: Bachelor's degree in IT and 5 years of relevant experience required; Master's degree alternative available.
- Other info: Experience with SQL, Python, and cloud technologies is essential for success.
The predicted salary is between 43200 - 72000 £ per year.
Design, implement, and support full life-cycle data engineering projects including large data ingestion, persistence, transformation, and retrieval. Design, develop, and maintain multiple code bases to service real-time data over a distributed data pipeline. Responsible for Kubernetes deployments and namespaces, MemSQL and Oracle databases, Victoria Metrics instances, on-prem S3, and codebases in Python, Typescript, and Kotlin. Maintain and manage pipeline between real-time data from streaming/non-streaming data sources such as Apache Pulsar/Oracle/MemSQL to application data stores and services.
JOB REQUIREMENTS
- MINIMUM EDUCATION: Bachelor's Degree in Computer Science, CIS, MIS or Information Technology.
- MINIMUM EXPERIENCE: Five (5) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer.
- ALTERNATE EDUCATION: Master's Degree in Computer Science, CIS, MIS, or Information Technology.
- ALTERNATE EXPERIENCE: Three (3) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer.
- SPECIAL REQUIREMENTS: The required five (5) years of experience with a Bachelor's degree or three (3) years of experience with a Master's degree as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer must have included two (2) years of experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud-based architectures and containerization of streaming technologies.
Sr. Data Engineer employer: EOG Resources, Inc.
Contact Detail:
EOG Resources, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, MemSQL, and Apache Pulsar. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specifics of the role, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with real-time data processing and cloud-based architectures. Be ready to share specific examples of how you've implemented these in past projects, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Stay updated on the latest trends in data engineering and related technologies. Being able to discuss recent developments or innovations in the field during your interview can show your passion and commitment to continuous learning.
We think you need these skills to ace Sr. Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, Python, and cloud-based architectures. Use specific examples from your past roles that demonstrate your ability to design and implement data pipelines.
Craft a Strong Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the job requirements. Mention your experience with Kubernetes, MemSQL, and any other technologies listed in the job description to show you are a perfect fit.
Showcase Relevant Projects: If you have worked on significant projects involving real-time data processing or containerization, include these in your application. Describe your role and the impact of your contributions to demonstrate your expertise.
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, which is crucial in data engineering roles.
How to prepare for a job interview at EOG Resources, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and other relevant technologies. Highlight specific projects where you've designed and implemented data engineering solutions, especially those involving real-time data processing.
✨Understand the Company’s Tech Stack
Research the tools and technologies used by the company, such as Kubernetes, MemSQL, and Apache Pulsar. Familiarity with their tech stack will demonstrate your genuine interest and help you answer questions more effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples from your past experience where you successfully managed data pipelines or resolved issues in data ingestion and transformation.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and future projects. This shows your enthusiasm for the role and helps you gauge if the company aligns with your career goals.
