Data Engineer
Posted 3 days ago by Ampstek
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The role of AWS Data Engineer involves leading and coordinating the deployment of Power BI solutions and data pipelines in a hybrid work environment. The position requires expertise in both manual and automated deployment processes, ensuring efficient and secure releases across multiple environments. The engineer will collaborate with various teams to maintain deployment readiness and compliance with governance standards. Continuous improvement in release processes and tooling is also a key focus of this role.
Key Responsibilities:
- Own and manage the end-to-end release lifecycle for Power BI reports, datasets, and data pipelines (e.g., Azure Data Factory, AWS Glue).
- Coordinate and execute manual deployments when automation is not feasible, ensuring accuracy and rollback readiness.
- Design, implement, and maintain automated deployment pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins.
- Collaborate with development, QA, and infrastructure teams to ensure deployment readiness and environment stability.
- Maintain detailed release documentation, schedules, and change logs.
- Monitor deployments for performance, failures, and compliance with governance standards.
- Drive continuous improvement in release processes, automation, and tooling.
- Ensure alignment with data governance, security, and compliance policies.
Key Skills:
- Proven experience managing Power BI deployments (including workspaces, datasets, and reports).
- Strong understanding of data pipeline deployment using tools like Azure Data Factory, AWS Glue, or Apache Airflow.
- Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins).
- Proficiency in scripting (PowerShell, Python, or Bash) for deployment automation.
- Experience with manual deployment processes, rollback strategies, and change management.
- Familiarity with version control systems (e.g., Git).
- Excellent communication, coordination, and documentation skills.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: AWS Data Engineer
Job Location: London, UK
Job Type: Contract
Hybrid/Onsite: Hybrid
Job Description: We are seeking a highly organized and technically proficient Senior Release Manager to lead and coordinate the deployment of Power BI solutions and data pipelines across multiple environments. This role requires a strong understanding of both manual deployment processes and automated CI/CD pipelines, ensuring seamless, secure, and timely releases.
Key Responsibilities:
- Own and manage the end-to-end release lifecycle for Power BI reports, datasets, and data pipelines (e.g., Azure Data Factory, AWS Glue).
- Coordinate and execute manual deployments when automation is not feasible, ensuring accuracy and rollback readiness.
- Design, implement, and maintain automated deployment pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins.
- Collaborate with development, QA, and infrastructure teams to ensure deployment readiness and environment stability.
- Maintain detailed release documentation, schedules, and change logs.
- Monitor deployments for performance, failures, and compliance with governance standards.
- Drive continuous improvement in release processes, automation, and tooling.
- Ensure alignment with data governance, security, and compliance policies.
Required Skills:
- Proven experience managing Power BI deployments (including workspaces, datasets, and reports).
- Strong understanding of data pipeline deployment using tools like Azure Data Factory, AWS Glue, or Apache Airflow.
- Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins).
- Proficiency in scripting (PowerShell, Python, or Bash) for deployment automation.
- Experience with manual deployment processes, rollback strategies, and change management.
- Familiarity with version control systems (e.g., Git).
- Excellent communication, coordination, and documentation skills.
Preferred Qualifications:
- Bachelor’s or master’s degree in computer science, Information Systems, or related field.
- Experience with Power BI REST APIs, Tabular Editor, or deployment pipelines.
- Knowledge of cloud platforms (Azure, AWS) and infrastructure as code (e.g., Terraform).
- Exposure to Agile/Scrum methodologies and release planning.