Data DevOps Engineer

Key Skills

Ansible, Apache Hadoop, Apache NiFi, Bamboo, Bash scripting, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, ETL/ELT technologies, Jenkins, Kubernetes-K8s, Linux Operating system, Python Programming, Red Hat OpenShift, Terraform

Job Description

Are you looking to take your technical career to the next level?

We have a brand-new opportunity for a bright, driven, customer focussed professional to join our Hybrid Cloud ‘Delivery’ team, and work alongside our Enterprise Data Engineering consultants to accelerate and drive data engineering opportunities.

The Advisory and Professional Services (A&PS) delivery team within HPE Pointnext Services is responsible for bringing thought-leadership, industry know-how and technical excellence to consultative engagements. Helping customers to reap maximum business benefit from their technical investments, leveraging best in class HPE and Partner technologies to create relevant and effective business-valued technical solutions.

What is on offer?

This is a fantastic opportunity for a dynamic individual with big ambitions, who is an established technologist with both outstanding technical ability and consultative mindset. As an open-minded personable self-starter who relishes the fluidity and collaborative nature of consultancy, you are comfortable working independently or as part of a team, effortlessly context switching as required.

The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems.

You will be joining HPE in order to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements.

Extensive social benefits, flexible working hours, a competitive salary and shared values, make Hewlett Packard Enterprise one of the world's most attractive employers. At HPE our goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.

If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you!

As a Data DevOps Engineer​, you will be responsible for:

• Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
• Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
• Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
• Assisting with solution improvement activities driven either by the project or service

To excel in this very technical role, you will need to have:

• An organised and methodical approach
• Excellent time keeping and task prioritisation skills
• An ability to provide clear and concise updates
• An ability to convey technical concepts to all levels of audience
• Data engineering skills – ETL/ELT
• Technical implementation skills – application of industry best practices & designs patterns
• Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements 
• Experience of working in hybrid environments with both classical and DevOps
• Excellent written & spoken English skills

The following Technical skills & experience are required:

• Excellent knowledge of Linux operating system administration and implementation
• Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc.
• Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc.
• Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc.
• Observability - SRE
• Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem
• Edge technologies e.g. NGINX, HAProxy etc.
• Excellent knowledge of YAML or similar languages

The following Technical Skills & Experience would be desirable:

• Jupyter Hub Awareness
• Minio or similar S3 storage technology
• Trino / Presto
• RabbitMQ or other common queue technology e.g. ActiveMQ
• NiFi
• Rego
• Familiarity with code development, shell-scripting in Python, Bash etc.

Proactive Prerequisite Role Restrictions:

• Must have/held National Security Clearance Level 04 Developed Vetting (DV)
• We are looking for high achievers who are eligible to work in the UK.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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