Data Warehouse/DevOps Technical Support Engineer

Bottomline; Theale; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading company in data solutions is seeking a mid-senior Data Warehouse/DevOps Technical Support Engineer to enhance its data infrastructure. The role involves supporting EDW platforms, implementing CI/CD processes, and working closely with data professionals to ensure operational excellence. With flexible working arrangements, this position offers a competitive salary and opportunities for professional growth in a collaborative environment.

Benefits

Competitive salary and benefits package

Opportunities for professional growth and advancement

Flexible working arrangements

Collaborative and innovative work environment

Qualifications

• 3+ years of experience in data warehouse support or a similar role.
• Strong experience with ETL/ELT tools like Talend.
• Expertise in AWS and Snowflake platforms.

Responsibilities

• Support and enhance the Enterprise Data Warehouse (EDW) and data ingestion pipelines.
• Implement and manage Infrastructure as Code (IaC) for data platform components.
• Design monitoring frameworks for data pipelines ensuring reliability.

Skills

Snowflake

Talend

AWS

DevOps

ETL/ELT

CI/CD

Power BI

Testing

Troubleshooting

Education

Bachelor’s degree in computer science, Information Technology, or related field

ITIL Foundation

AWS Certified Solutions Architect / DevOps Engineer

Snowflake or Talend certifications

Tools

Terraform

AWS CloudFormation

GitLab CI/CD

Jenkins

Job description

Data Warehouse/DevOps Technical Support Engineer

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Data Warehouse/DevOps Technical Support Engineer

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Bottomline is looking for a Data Warehouse/DevOps Technical Support Engineer to grow with useither remotely or in a Hybrid work environment out of our Theale, UK office!

We are a leading company dedicated to harnessing the power of data to drive strategic insights and enhance business performance. We are looking for a skilled Data Warehouse Technical Support Engineer to join our team and support our data infrastructure.

Position Overview:

We are seeking a proactive and technically skilled DevOps / Technical Support Engineer to join our Data Engineering & Analytics team. This role is critical in ensuring the reliable delivery, scalability, and operational excellence of our Enterprise Data Warehouse (EDW) platforms, data ingestion pipelines, and reporting solutions. You will work closely with Data Engineers, Architects, and business stakeholders to support, automate, and optimize the data ecosystem using DevOps principles, Infrastructure as Code (IaC), and modern CI/CD practices.

How you’ll contribute:

EDW Development & Support:

• Support and enhance the Enterprise Data Warehouse (EDW) on Snowflake or similar platforms, including development, performance tuning, maintenance, and schema management.
• Design, build, and maintain ETL/ELT pipelines using Talend or equivalent tools, ensuring efficient data ingestion, transformation, and delivery.
• Develop and manage CI/CD pipelines for ETL/ELT jobs, automating deployment, testing, and delivery processes.
• Deliver and maintain Disaster Recovery (DR) processes and solutions, including EDW backup, restore, and failover capabilities.
• Collaborate on root cause analysis (RCA) and permanent resolution of EDW and pipeline-related incidents.

Infrastructure & Automation:

• Implement and manage Infrastructure as Code (IaC) for data platform components using tools such as Terraform, AWS CloudFormation, or similar.
• Provision, configure, and maintain cloud resources (AWS EC2, S3, IAM, RDS, etc.) to support EDW and data processing workloads.
• Ensure scalability, availability, and cost-efficiency of cloud infrastructure in alignment with business needs.
• Support and enhance data mesh platforms like Denodo, Starburst, or equivalents for federated data access.

Monitoring, Reliability & Incident Management:

• Design and implement monitoring, logging, and alerting frameworks for data pipelines and EDW systems to ensure high availability and reliability.
• Lead or contribute to incident response, performing root cause analysis (RCA), corrective action, and continuous improvement initiatives.
• Maintain and enforce SLAs and operational best practices for EDW and reporting platforms.

Reporting & Analytics Support:

• Support business intelligence tools (e.g., Power BI, Tableau) by ensuring reliable and accurate data availability from EDW sources.
• Optimize queries, reporting datasets, and integrations to improve performance and usability for data consumers.

Documentation & Knowledge Sharing:

• Document technical processes, CI/CD workflows, deployment runbooks, incident response procedures, and environment configurations.
• Conduct knowledge transfer sessions and training for development, support, and operations teams.

What will make you successful:

• Strong hands-on experience with Talend, Informatica, or other ETL/ELT tools.
• Expertise in Snowflake or equivalent cloud data warehouse platforms.
• Proficiency in AWS cloud services (EC2, S3, CloudWatch, RDS, IAM) and IaC tools such as Terraform or CloudFormation.
• Knowledge of CI/CD pipelines for data workloads using tools like GitLab CI/CD, Jenkins, or AWS CodePipeline.
• Experience supporting and automating EDW backup, restore, and disaster recovery processes.
• Solid understanding of DevOps best practices, including automation, configuration management, and continuous delivery.
• Familiarity with Data Mesh technologies (Denodo, Starburst) is a plus.
• Strong analytical and troubleshooting skills for performing root cause analysis (RCA) of incidents.
• Good working knowledge of Power BI or similar BI tools.
• Strong communication and documentation skills to support cross-functional collaboration.

Preferred Certifications:

• AWS Certified Solutions Architect / DevOps Engineer.
• Snowflake or Talend certifications.
• ITIL Foundation or relevant service management certification.
• Bachelor’s degree in computer science, Information Technology, Data Engineering, or a related field.
• 3+ years of experience in data warehouse support, data engineering, or a similar role.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, capable of explaining technical concepts to non-technical audiences.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and advancement.
• A collaborative and innovative work environment.
• Flexible working arrangements.

#LifeAtBottomline

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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