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# Analytics Engineer

- **Company:** Hackajob Ltd
- **Location:** Leeds, UK
- **Salary:** £61,000.0 - £101,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Github, Python (Programming Language), NoSQL, Newrelic, Standard Sql, SQL Databases, Workflow Management Systems, Data Logging, Data Ingestion, Snowflake, Grafana, Cloudformation, Containerization, Infrastructure Automation Frameworks, Extreme Programming, Machine Learning Operations, Terraform, Data Pipelines, Docker
- **Published:** September 25, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5896695670

## About the Role

* Strong skills in SQL, including experience with Snowflake and DBT.
 * Proficiency in SQL and NoSQL databases.
 * Experience with containerization tools such as Docker and orchestration tools such as Airflow or Astronomer.
 * Familiarity with cloud platforms such as AWS and Azure.
 * Experience with CI/CD pipelines and automation tools such as GitHub Actions.
 * Experience with data quality and observability platforms such as Soda.io and BigEye.
 * Understanding of monitoring and logging tools such as NewRelic and Grafana.
 * Prior experience deploying data pipelines in production environments.
 * Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.

## Description

* Work with various data squads to ensure the right data is available for teams to build fantastic products.
 * Design, implement, and maintain scalable data pipelines using CI/CD.
 * Automate the end-to-end workflow from data ingestion, testing, deployment, and monitoring.
 * Optimize model serving infrastructure for latency, scalability, and cost.
 * Build infrastructure to monitor model performance, data drift, and other key metrics in production.
 * Collaborate with developers and MLOps engineers to ensure pipelines are production-ready.
 * Implement security, compliance, and governance practices.
 * Support troubleshooting and incident response for deployed systems.
 * Build relationships with colleagues, mentor them, and share what we have learned.
 * Partner with Data Modellers, Analytics Engineers, Data Scientists, Architects, and Product Managers to deliver world-class data products.

Technologies:

 * AI
 * Airflow
 * AWS
 * Azure
 * CI/CD
 * Cloud
 * Docker
 * GitHub
 * Grafana
 * Support
 * MLOps
 * Model Serving
 * NoSQL
 * SQL
 * Security
 * Snowflake
 * Terraform
 * XP
 * dbt
 * DevOps
 * Python


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