Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AWS Data Engineer

Datatech Analytics
London
4 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - Permanent

AWS Data Engineer - £120,000

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

Lead/ VP AWS 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 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).

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 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.



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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.