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- Tasks: Lead the design and implementation of cloud data solutions, ensuring quality and performance.
- Company: Join a dynamic Payment Gateway team in Fleet, UK, focused on innovative data engineering.
- Benefits: Enjoy a hybrid work model with opportunities for professional growth and development.
- Why this job: Be at the forefront of cloud technology, making a real impact in data engineering.
- Qualifications: 7+ years in data engineering, strong AWS skills, and experience with CI/CD pipelines required.
- Other info: Opportunity to mentor and lead projects within a collaborative team environment.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a highly skilled and experienced Senior Cloud Platform Data Engineer (SME) to join our dynamic Payment Gateway team in Fleet UK for a Full time Hybrid role. As an SME you will serve as a subject matter expert providing technical leadership guidance and best practices across the team. You will play a critical role in designing, developing, and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of quality, scalability, and performance.
- Serve as a subject matter expert in cloud data engineering providing technical guidance and mentorship to the team.
- Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR).
- Develop and maintain data quality checks, data validation rules, and data lineage documentation.
- Collaborate with data analysts, data scientists, business stakeholders, and product owners to understand their data needs and translate them into innovative and effective technical solutions.
- Troubleshoot and resolve complex data quality issues and performance bottlenecks.
- Participate in the evaluation, selection, and implementation of new data technologies and tools.
- Adhere to and champion best practices in data engineering including data security, privacy, and governance.
- Define and enforce data engineering standards, processes, and best practices within the team.
- Develop and maintain CI/CD pipelines for data engineering workflows using tools like Jenkins.
- Automate data ingestion, transformation, and loading processes.
- Work closely with DevOps teams and other engineering teams to ensure smooth deployment and operations of data pipelines.
- Experience working on Linux platforms and managing data on Linux servers.
- Stay abreast of the latest advancements in cloud computing and data engineering technologies.
- Contribute to the development and improvement of the team's overall performance and efficiency.
- May lead small projects or initiatives within the data engineering team.
Your Profile
- 7+ years of experience in data engineering with a strong focus on cloud platforms (preferably AWS).
- 3+ years of experience as a Senior Engineer or SME in a data engineering role.
- Solid experience working on Linux platforms.
- Experience with CI/CD pipelines and tools like Jenkins.
- Strong understanding of DevOps methodologies and principles.
- Solid understanding of data warehousing, data modeling, and data integration principles.
- Proficiency in at least one scripting/programming language (e.g. Python, Scala, Java).
- Experience with SQL and NoSQL databases.
- Familiarity with data quality and data governance best practices.
- Strong analytical and problem-solving skills.
- Excellent communication, interpersonal, and presentation skills.
Desired Skills:
- Experience with containerization technologies (e.g. Docker, Kubernetes).
- Experience with data streaming platforms (e.g. Kafka, Kinesis).
- Experience with data visualization and business intelligence tools.
- Experience with Agile development methodologies.
- AWS Certifications (e.g. AWS Certified Data Analytics - Specialty).
Senior Cloud Platform Data Engineer / Cloud Architect employer: Avance Consulting
Contact Detail:
Avance Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Platform Data Engineer / Cloud Architect
✨Tip Number 1
Make sure to showcase your expertise in AWS and cloud data engineering during networking events or meetups. Engaging with professionals in the field can help you learn about potential job openings and get insider tips on what the team is looking for.
✨Tip Number 2
Consider contributing to open-source projects related to cloud data engineering. This not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate for our Senior Cloud Platform Data Engineer position.
✨Tip Number 3
Stay updated on the latest trends and technologies in cloud computing and data engineering. Following industry leaders on social media or subscribing to relevant newsletters can provide insights that you can discuss during interviews, showing your passion and knowledge.
✨Tip Number 4
If you have experience with CI/CD pipelines and DevOps methodologies, be prepared to discuss specific examples of how you've implemented these in past roles. Highlighting your practical experience will set you apart as a strong candidate for our team.
We think you need these skills to ace Senior Cloud Platform Data Engineer / Cloud Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly with cloud platforms like AWS. Emphasise your role as a subject matter expert and any leadership or mentorship experience you've had.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about cloud data engineering and how your skills align with the job requirements. Mention specific technologies you’ve worked with, such as AWS Glue or Jenkins, to demonstrate your expertise.
Showcase Relevant Projects: Include examples of complex data solutions you've designed or implemented, especially those involving ETL/ELT processes. Highlight any projects where you collaborated with cross-functional teams to meet business needs.
Highlight Continuous Learning: Mention any recent training, certifications, or courses related to cloud computing and data engineering. This shows your commitment to staying updated with the latest technologies and best practices in the field.
How to prepare for a job interview at Avance Consulting
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with AWS and any specific cloud technologies mentioned in the job description. Be prepared to discuss your previous projects and how you implemented data solutions on cloud platforms.
✨Demonstrate Problem-Solving Skills
Prepare examples of complex data quality issues you've encountered and how you resolved them. This will showcase your analytical skills and ability to troubleshoot effectively, which is crucial for this role.
✨Emphasise Collaboration Experience
Since the role involves working closely with various stakeholders, be ready to discuss your experience collaborating with data analysts, scientists, and product owners. Highlight how you translated their needs into technical solutions.
✨Discuss CI/CD and DevOps Knowledge
Familiarise yourself with CI/CD pipelines and DevOps principles, as these are key components of the role. Be prepared to talk about your experience with tools like Jenkins and how you've automated data workflows in the past.
