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- Tasks: Join us as an AWS Data DevOps Engineer to design and optimise cloud-based data infrastructure.
- Company: Valcon is a fast-growing consulting and technology firm across Europe, specialising in data solutions.
- Benefits: Enjoy competitive salary, flexible working options, and the chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team that values innovation and offers opportunities for personal and professional growth.
- Qualifications: Strong AWS experience, data engineering skills, and familiarity with automation tools are essential.
- Other info: SC Clearance eligibility is required; this role is perfect for tech enthusiasts eager to make an impact.
The predicted salary is between 36000 - 60000 £ per year.
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and Croatia. We’re one of the fastest growing companies across Europe and have no plans to stop.
Our mission is to combine premium consulting with deep technology and data knowledge to add value to our clients.
Overview of Data Practice: Every company has data challenges, easy or complex, big or small. This asks for flexibility and in-depth knowledge of data solutions and techniques. We help to define the data strategy and implement best-fit data solutions. Being a leader on data services, running projects for and with our clients, we strive to be the best-in-class by delivering high quality, advanced data solutions to help our clients become strong and leading companies.
Valcon combines all we have to offer – Consulting, Data and Technology – in projects. We strive to be a long-term full service partner implementing robust solutions and increasing value for our clients. Valcon is the benchmark for modern data solutions.
Our Data Practice has 5 capabilities:
- Data Governance
- Data Management
- Data Platforms
- Data Analysis
Location: London
Employment Type: Permanent
Salary: Competitive – based on experience
Security Clearance: Eligible or holds SC Clearance
About Valcon: At Valcon, we specialise in delivering cutting-edge data and cloud solutions to help businesses maximise their potential. We are seeking an AWS Data DevOps Engineer to join our team and play a key role in building, maintaining, and optimising our cloud-based data infrastructure. If you thrive in a fast-paced, tech-driven environment and have a passion for AWS, data pipelines, and automation, we’d love to hear from you!
Key Responsibilities:
- Design, implement, and maintain AWS-based data infrastructure to support scalable and secure data operations.
- Develop and optimise data pipelines for processing, storing, and retrieving structured and unstructured data.
- Work with Amazon OpenSearch to enable real-time search and analytics on large-scale datasets.
- Implement and manage Lake Formation and AWS Security Lake, ensuring data governance, access control, and security compliance.
- Optimise file formats (e.g., Parquet, ORC, Avro) for S3 storage, ensuring efficient querying and cost-effectiveness.
- Automate infrastructure deployment using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
- Monitor and troubleshoot data workflows, ensuring high availability and performance.
- Collaborate with data engineers, security teams, and DevOps professionals to build a resilient data ecosystem.
Experience:
- AWS Expertise – Strong experience with AWS services, including S3, Lambda, IAM, OpenSearch, Security Lake, and Lake Formation.
- Data Engineering – Proficiency in building and optimising data pipelines and working with large-scale datasets.
- File Formats & Storage – Hands-on experience with Parquet, ORC, Avro, and efficient S3 storage solutions.
- DevOps & Automation – Experience with Terraform, CloudFormation, or CDK to automate infrastructure deployment.
- Security & Compliance – Familiarity with AWS Security Lake, IAM policies, and access control best practices.
- Programming & Scripting – Proficiency in Python, Bash, or similar scripting languages for automation.
- SC Clearance – Having or being eligible for Security Clearance (SC) is needed.
- Team Leadership – Experience leading teams or mentoring engineers in data/DevOps projects.
- Solution Leadership – Strong ability to architect and drive technical solutions, influencing key design decisions.
AWS Data DevOps Engineer employer: Valcon A/S
Contact Detail:
Valcon A/S Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data DevOps Engineer
✨Tip Number 1
Familiarise yourself with AWS services, especially those mentioned in the job description like S3, Lambda, and OpenSearch. Having hands-on experience or projects that showcase your skills with these tools can set you apart during the interview.
✨Tip Number 2
Network with current or former employees of Valcon on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented Infrastructure as Code (IaC) using Terraform or CloudFormation. Being able to articulate your experience with automation will demonstrate your fit for the role.
✨Tip Number 4
Stay updated on the latest trends in data governance and security compliance, particularly related to AWS. Showing that you're knowledgeable about current best practices can impress your interviewers and highlight your commitment to the field.
We think you need these skills to ace AWS Data DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, data pipelines, and automation tools. Use specific examples that demonstrate your expertise in the key responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and cloud solutions. Mention how your skills align with Valcon's mission and how you can contribute to their data practice. Be sure to include any relevant projects or achievements.
Highlight Relevant Experience: In your application, emphasise your hands-on experience with AWS services like S3, Lambda, and OpenSearch. Discuss your familiarity with file formats such as Parquet and Avro, and how you've implemented security measures in previous roles.
Showcase Team Leadership Skills: If you have experience leading teams or mentoring others, make sure to highlight this in your application. Valcon values team leadership, so provide examples of how you've influenced design decisions or driven technical solutions in past projects.
How to prepare for a job interview at Valcon A/S
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services during the interview. Be prepared to discuss specific projects where you've implemented solutions using S3, Lambda, OpenSearch, and other relevant services. This will demonstrate your hands-on knowledge and ability to contribute effectively.
✨Demonstrate Data Pipeline Skills
Be ready to talk about your experience in building and optimising data pipelines. Discuss the challenges you faced and how you overcame them, especially when working with large-scale datasets. This will show your problem-solving skills and technical proficiency.
✨Familiarise Yourself with File Formats
Understand the differences and use cases for file formats like Parquet, ORC, and Avro. Be prepared to explain how you've used these formats in your previous roles to optimise storage and querying efficiency. This knowledge is crucial for the role.
✨Prepare for Team Collaboration Questions
Since collaboration is key in this role, think of examples where you've worked with cross-functional teams, such as data engineers and security professionals. Highlight your leadership or mentoring experiences to showcase your ability to drive projects forward.
