AWS Data DevOps Engineer

Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and even Croatia.

Valcon is private equity backed and in recent years has bought together some of the most exciting companies from these countries to form one of the brightest and most exciting consultancies around.

We're one of the fastest growing companies across Europe and have no plans to stop.

What do we do:

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:

1. Data Governance
2. Data Management
3. Data Platforms
4. 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.

• 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.