AWS Data Engineer

Datatech Analytics
London
8 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer

Lead AWS Data Engineer

Lead AWS Data Engineer

Databricks SME and AWS Data Engineer

Junior / Graduate Data Scientist

Data Engineer

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 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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.