AWS Data Engineer

London
2 weeks ago
Create job alert

AWS Data Engineer
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!

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: (url removed) <(url removed)

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Consultant

Data Engineer - SC Cleared

Senior Business Analyst, Data

Business Analyst, Data, Insurance

Senior Data Engineer - Snowflake & AWS

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Atos Data‑Engineering Jobs in 2025: Your Complete UK Guide to Architecting the Backbone of Digital Transformation

From building the data lake that powers the 2024 Paris Olympic Games to operating one of Europe’s fastest exascale supercomputers, Atos (and its digital spin‑off Eviden) sits at the heart of large‑scale data transformation. The company’s Big Data & Security and Digital Business Platforms units design, build and run cloud‑native analytics stacks for governments, telecoms, financial services and retailers worldwide. With the split of infrastructure services into Tech Foundry and digital/AI into Eviden completed in January 2025, Atos is doubling down on data engineering talent. The Atos careers site currently lists 400+ UK vacancies, more than 150 tagged “Data & AI”. Whether you’re a Python‑Spark aficionado, an ELT wizard on Azure Synapse, or a solution architect who can turn legacy mainframe feeds into real‑time dashboards, this guide explains how to land an Atos data‑engineering job in 2025.

Data Engineering vs. Data Science vs. Data Analytics Jobs: Which Path Should You Choose?

In the modern data-driven era, businesses in every sector—retail, finance, healthcare, and beyond—are constantly gathering large volumes of information to power insights and fuel decision-making. Consequently, the demand for data professionals has skyrocketed, with Data Engineering jobs in particular experiencing rapid growth. However, many job seekers remain unsure about how Data Engineering differs from Data Science or Data Analytics, or which role aligns best with their interests and career aspirations. This comprehensive guide will demystify the key differences among Data Engineering, Data Science, and Data Analytics. We’ll explore overlapping and distinctive skills, delve into typical job responsibilities, discuss salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer understanding of which path might suit you best. And when you’re ready to move forward, visit www.dataengineeringjobs.co.uk to explore the latest vacancies and take the next step in your data-focused career.

Data Engineering Programming Languages for Job Seekers: Which Should You Learn First to Launch Your Career?

In an era where data is fueling decision-making and driving innovation across industries, data engineering has emerged as a pivotal career path. Rather than just collecting and storing information, data engineers design and maintain sophisticated pipelines that transport, transform, and store massive datasets—enabling data scientists, analysts, and business teams to glean meaningful insights. If you’re researching opportunities on www.dataengineering.co.uk, you may be wondering: “Which programming language should I learn first for a career in data engineering?” It’s a great question. Data engineering spans a wide range of tasks—ETL pipelines, real-time streaming, data warehousing, big data frameworks, and more—requiring a versatile toolset. Languages like SQL, Python, Scala, Java, Go, and R each play unique roles in building robust data infrastructures. In this guide, you’ll discover: Detailed overviews of the top programming languages in data engineering. Pros, cons, and industry relevance for each language. A simple beginner’s project to sharpen your data engineering skills. Essential resources and tips to help you thrive in the job market.