Methods County Of Herefordshire, England, United Kingdom
Job Overview
We are seeking a seasoned Senior Data Engineer (Infrastructure) to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. The position involves deploying and managing scalable data operations that support advanced analytics and data-driven decision-making, crucial for our organisational growth and innovation. Key Responsibilities
Develop and Manage Data Pipelines: Design, construct, and maintain efficient and reliable data pipelines using Python, capable of supporting both streaming and batch data processing across structured, semi-structured, and unstructured data in on-premises and Azure environments. Hybrid Cloud and Data Storage Solutions: Implement and manage data storage solutions leveraging both on-premises 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 cloud-based and on-premises 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 event-driven technologies such as Kafka, Apache NiFi, and Apache Flink to handle real-time 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 (on-premises and Azure) environments. Expertise in Hybrid Cloud Data Architecture: Profound knowledge of integrating on-premises infrastructure with Azure cloud services. Containerisation and Orchestration Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises 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 on-premises 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 on-premises and cloud-based 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 data-driven 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 on-premises 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 on-premises 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.UK. 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. Benefits
Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring and thought-provoking leadership A supportive and collaborative environment Access to LinkedIn Learning, a management development programme, and training 24/7 confidential employee assistance programme Flexible working, including home working and part-time options Social events including office parties and commitment to charitable causes 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Job Details
Seniority Level:
Mid-Senior level Employment Type:
Full-time Job Function:
Information Technology
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We are seeking a seasoned Senior Data Engineer (Infrastructure) to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. The position involves deploying and managing scalable data operations that support advanced analytics and data-driven decision-making, crucial for our organisational growth and innovation. Key Responsibilities
Develop and Manage Data Pipelines: Design, construct, and maintain efficient and reliable data pipelines using Python, capable of supporting both streaming and batch data processing across structured, semi-structured, and unstructured data in on-premises and Azure environments. Hybrid Cloud and Data Storage Solutions: Implement and manage data storage solutions leveraging both on-premises 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 cloud-based and on-premises 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 event-driven technologies such as Kafka, Apache NiFi, and Apache Flink to handle real-time 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 (on-premises and Azure) environments. Expertise in Hybrid Cloud Data Architecture: Profound knowledge of integrating on-premises infrastructure with Azure cloud services. Containerisation and Orchestration Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises 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 on-premises 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 on-premises and cloud-based 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 data-driven 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 on-premises 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 on-premises 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.UK. 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. Benefits
Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring and thought-provoking leadership A supportive and collaborative environment Access to LinkedIn Learning, a management development programme, and training 24/7 confidential employee assistance programme Flexible working, including home working and part-time options Social events including office parties and commitment to charitable causes 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Job Details
Seniority Level:
Mid-Senior level Employment Type:
Full-time Job Function:
Information Technology
#J-18808-Ljbffr
