Job Description

Mission Decisions is a British data intelligence company delivering Human-Machine Teaming services that leverage developments in AI, Machine Learning and Secure Cloud. Or objective is to unlock the true potential of Defence’s two most important assets; people and data.

We help our customers to deliver mission critical applications that leverage their data across our secure environment.

Note: Due to the Security Clearance required for this role, we can only accept applications from UK residents who have been working in the UK for 5 years or more.

What We Offer:

We are a growing organisation that relies on collaboration and open communication to achieve our aims. Specific benefits for this role are:

Genuine remote working with visits to client sites (southern counties ideal for travel)
Flexible leave allowances
Flexible working hours
Generous pension contributions.

Salary range: £80k-£100k

Key Knowledge & Skills:

Understanding of Secure by Design principles (direct experience of UK MOD a benefit)
Working knowledge of ISO27001 requirements and processes
Understanding of NIST Cybersecurity Framework 2.0, and its application
Solid understanding of cloud architectures for data (AWS)
Previous experience with Snowflake, Sigma.

Responsibilities:

Ownership and oversight of our AWS cloud infrastructure, collaborating with the data engineering and data science teams.
Working for the Chief Data&AI Officer to develop our short & long-term vision and strategy for AI and DS products.
Develop data pipelines with Snowflake & Airflow using languages such as Python & SQL
Provide thought leadership and contribute to the vision of our data engineering function
Participate in team processes such as on-call rotations, bug triage, technical direction, standards, and execution
Own delivery architecture/execution of major component(s) from conception to release
Provide technical mentorship within the data engineering team. Make others better through code reviews, focus on documentation, and technical guidance
Understand the tradeoffs between technical and business needs, interact and negotiate with key stakeholders, and deliver solutions that take all of these needs into account
Regularly take complex designs / codebases and simplify them without being asked
Work closely with leadership to drive adoption of the latest DevOps and DataOps trends and technologies.
Proven experience in security and data engineering with hands-on technical involvement, and exposure to decision making processes.
Hands-on experience in solution development, including the ability to handle data fluidly (parse, transfer, store, edit) and build data pipelines in suitable languages, such as Python or SQL.
Designing and optimising data models to support robust data architecture, ensuring efficient data storage, retrieval, and analysis, while also making data readily accessible and usable for machine learning applications, will be essential
Implement and enforce cloud security best practices, including identity and access management (IAM), data encryption, network security, and compliance with industry regulations
Work in an agile team-oriented environment, collaborating with Data Engineers, Data Scientist and Account Managers to achieve objectives.

Skills & Experience:

Bachelor's/Master's degree in Computer Science, Software Engineering, or similar.
5+ years of hands-on software engineering experience
4+ years working with a major cloud provider (preferably AWS).
3+ years building and maintaining hosted environments and applications using EKS or another container service
5+ years of experience in at least one programming language such as Python, Java, Scala is required (Python is our most commonly used language); Advanced SQL expertise is required
Able to put the AWS Well-Architected Framework into practice when building infrastructure
Expert understanding of Lambda APIs, API Gateways and their implementation, monitoring and security concerns (e.g. OWASP API Security)
Experience working in a modern data platform is required (Snowflake is preferred); Modern warehousing best practices should be second nature
Cloud experience is required (AWS is strongly preferred)
Knowledge and ideally hands on experience working with container services is required (ECS, Kubernetes, etc)
Experience working in a mature SDLC environment (ie: CICD) is required
Modern tech stack experience is a plus (e.g. Sigma, Snowflake, Airflow, Lambda, Aurora RDB)
Experience as a leader within a data engineering team and ability to mentor teammates
Strong work ethic, resiliency, persistence, and urgency
Sharp business and interpersonal skills; ability to influence at senior levels across business units to drive change and achieve common goals
Have extensive experience with data warehousing and working with scalability of large volumes of structured data
Strong troubleshooting and debugging skills with a fix forward and learn mindset
Good understanding of database technologies, message queues and data security.
Capable and comfortable working with Agile/Scrum methodologies
Startup background and experience.

Mission Decisions jobs

Senior Data & Cloud Security Engineer