Senior AWS Data Engineer

London
7 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer (contract)

2x Senior Data Engineer (Financial Services)

Senior Data Engineer (Python/PySpark & SQL)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Make your mark in a collaborative and purpose-driven team.**

We are seeking a Senior AWS Data Engineer to join a leading organisation's AWS - Data team. This permanent, hybrid position requires you to work in the office two-three days a week in London. This is a great opportunity for candidates who are passionate about data engineering and want to contribute to impactful projects in a supportive environment.

Key Responsibilities:

  • Develop and maintain AWS data pipelines and infrastructure.
  • Collaborate with cross-functional teams to design data solutions.
  • Optimise existing data processes for efficiency and performance.
  • Ensure data quality and security standards are met.
  • Stay up-to-date with AWS developments and best practices.

    Key Requirements:
  • Proven experience with AWS services and tools.
  • Strong knowledge of data modeling and ETL processes.
  • Proficiency in programming languages such as Python or SQL.
  • Excellent problem-solving skills with a proactive approach.
  • Ability to communicate effectively within a team.

    If you are a skilled and driven AWS Data Engineer looking to make an impact, we encourage you to apply for this exciting opportunity

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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

🍪 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.