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# Analytics Engineer

- **Company:** Hackajob Ltd
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Github, NoSQL, Newrelic, SQL Databases, Workflow Management Systems, Data Logging, Data Ingestion, Snowflake, Grafana, Cloudformation, Containerization, Infrastructure Automation Frameworks, Terraform, Data Pipelines, Docker
- **Published:** September 21, 2026
- **Apply:** https://www.totaljobs.com/job/analytics-engineer/hackajob-ltd-job108018902

## About the Role

We use a variety of tech here and you need to be willing to pick up new tools and techniques. We'd also like you to be yourself - analytical, curious and unafraid to challenge the status quo. You'll constantly strive to improve the way things are done in your team, contributing as a progressive member of the engineering community., Required:

· Strong skills in SQL; experience with Snowflake and DBT.

· Proficiency in SQL and NoSQL databases.

· Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer.

· Familiarity with cloud platforms (AWS, Azure).

· Experience with CI/CD pipelines and automation tools like GitHub Actions.

· Experience with data quality and observability platform (e.g. Soda.io, BigEye)

· Understanding of monitoring and logging tools (e.g., NewRelic, Grafana).

Preferred:

· Prior experience deploying Data pipeline in production environments.

· Knowledge of infrastructure-as-code tools like Terraform or CloudFormation

## Description

· Work with various data squads at Sainsbury's to ensure the right data is available for teams to build fantastic products.

· Design, implement, and maintain scalable Data pipelines (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 Devlopers and MLOps engineers to ensure that pipelines are production-ready.

· Implement security, compliance, and governance practices.

· Support troubleshooting and incident response for deployed systems.

· Building relationships with your colleagues - mentoring them, and teaching things you've learned

· Partnering with Data Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver world-class data products


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