AWS Data Engineer

JR United Kingdom; London; Hybrid; GBP 60,000 - 80,000; Full time

Job description

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Salary: Negotiable to £80,000 Dependent on Experience

London: Hybrid working 3 days per week in the office 2 days home-based

Job Ref: J12931

A leader in consumer behaviour analytics seeks a driven AWS Data Engineer to guide data infrastructure architecture, working alongside a small talented team of engineers, analysts, and data scientists. In this role, you’ll enhance the data platform, develop advanced data pipelines, and integrate cutting-edge technologies like DataOps and Generative AI, including Large Language Models (LLMs).

This is an exciting opportunity for someone looking to challenge themselves in a collaborative environment, working with a breadth of diverse data and cutting-edge technologies. You’ll have proven experience developing AWS Cloud platforms end to end, orchestrating data using Dagster or similar as well as coding in Python and SQL.

Key Responsibilities

• Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics.
• Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability.
• Partner with product and engineering teams to define data architecture and best practices for reporting.
• Ensure data security, compliance, and governance across data systems.
• Implement and maintain CI/CD pipelines to automate data workflows and enhance system reliability.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and performance.

Essential Skills and Experience:

• Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3.
• Strong SQL skills for data transformation, cleaning, and loading.
• Strong coding experience with Python and Pandas.
• Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong communication skills to collaborate with remote teams (US, Canada).

Nice to Have

• Familiarity with LLMs including fine-tuning and RAG.
• Knowledge of Statistics.
• Knowledge of DataOps best practices, including CI/CD for data workflows.

Additional Requirements

Candidates must have an existing and future right to live and work in the UK. Sponsorship at any point is not available.

If this sounds like the role for you then please apply today!