AWS Data Engineer

JR United Kingdom; Slough; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading organization in consumer behavior analytics is seeking a driven Data Engineer with proven AWS experience. You will work with a talented team to enhance the data platform, develop advanced data pipelines, and implement technologies like DataOps and Generative AI. This hybrid position requires strong proficiency in Python, SQL, and AWS services, and offers a collaborative environment with growth opportunities.

Benefits

Hybrid working

Referral bonus schemes

Qualifications

• Proven experience with AWS platforms end to end.
• Strong coding skills in Python and SQL.
• Hands-on experience with ETL/ELT processes.

Responsibilities

• Develop and optimize ETL/ELT processes for data transformation.
• Implement and maintain CI/CD pipelines for data workflows.
• Explore new data warehousing solutions for scalability.

Skills

AWS services

SQL

Python

DataOps

Communication

Tools

Dagster

Airflow

Pandas

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 Data Engineer with proven AWS experience 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).

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. This is an exciting opportunity for someone looking to challenge themselves in a collaborative environment, with scope to be instrumental in the scaling of the data infrastructure.

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 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.

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

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

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk