Data Engineer
Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Onsite Full time.
We are seeking a seasoned Data Engineer (Infrastructure) to join our team. This role is essential for designing building and maintaining sophisticated data infrastructure systems that operate across both onpremises and Azure cloud environments. The position involves deploying and managing scalable data operations that support advanced analytics and datadriven decisionmaking crucial for our organisational growth and innovation.
Requirements
- Develop and Manage Data Pipelines: You will design construct and maintain efficient and reliable data pipelines using Python capable of supporting both streaming and batch data processing across structured semistructured and unstructured data in onpremises and Azure environments.
- Hybrid Cloud and Data Storage Solutions: Implement and manage data storage solutions leveraging both onpremises infrastructure and Azure ensuring seamless data integration and accessibility across platforms.
- Containerisation and Orchestration: Utilise Docker for containerisation and Kubernetes for orchestration ensuring scalable and efficient deployment of applications across both cloudbased and onpremises environments.
- Workflow Automation: Employ tools such as Apache NiFi and Apache Airflow to automate data flows and manage complex workflows within hybrid environments.
- Event Streaming Experience: Utilise eventdriven technologies such as Kafka Apache NiFi and Apache Flink to handle realtime data streams effectively.
- Security and Compliance: Manage security setups and access controls incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms.
- Data Search and Analytics: Oversee and enhance Elasticsearch setups for robust data searching and analytics capabilities in mixed infrastructure settings.
- Database Management: Administer and optimise PostgreSQL databases ensuring high performance and availability across diverse deployment scenarios.
Essential Skills and Experience
- Strong Python Skills: Expertise in Python for scripting and automating data processes across varied environments.
- Experience with ETL/ELT: Demonstrable experience in developing and optimising ETL or ELT workflows particularly in hybrid (onpremises and Azure) environments.
- Expertise in Hybrid Cloud Data Architecture: Profound knowledge of integrating onpremises infrastructure with Azure cloud services.
- Containerisation and Orchestration Expertise: Solid experience with Docker and Kubernetes in managing applications across both onpremises and cloud platforms.
- Proficiency in Workflow Automation Tools: Practical experience with Apache NiFi and Apache Airflow in hybrid data environments.
- Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka Apache NiFi and Apache Flink.
- Data Security Knowledge: Experience with implementing security practices and tools including Keycloak across multiple platforms.
- Search and Database Management Skills: Strong background in managing Elasticsearch and PostgreSQL in environments that span onpremises and cloud infrastructures.
Your Impact
In this role you will empower business leaders to make informed decisions by delivering timely accurate and actionable data insights from a robust hybrid infrastructure. Your expertise will drive the seamless integration of onpremises and cloudbased data solutions enhancing both the flexibility and scalability of our data operations. You will champion the adoption of modern data architectures and tooling and play a pivotal role in cultivating a datadriven culture within the organisation mentoring team members and advancing our engineering practices.
Desirable Skills and Experience
- Certifications in Azure and Other Relevant Technologies: Certifications in cloud and onpremises technologies are highly beneficial and will strengthen your application.
- Experience in Data Engineering: A minimum of 5 years of experience in data engineering with significant exposure to managing infrastructure in both onpremises and cloud settings.
This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov. If you are unable to meet this and any associated criteria then your employment may be delayed or rejected . Details of this will be discussed with you at interview.
Employment Type
Full-Time
