National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AWS Data Engineer (Must hold current SC)

Amber Labs Limited
London
1 month ago
Create job alert

AWS Data Engineer (Must hold current SC)

Join to apply for theAWS Data Engineer (Must hold current SC)role atAmber Labs.

The Company
At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

Overview
We are looking for a highly skilled AWS Data Engineer to join our team. The ideal candidate will have expertise in designing, building, and managing scalable data pipelines on AWS. You will work closely with data scientists, analysts, and software engineers to implement efficient data solutions that support business intelligence and analytics needs.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and Kinesis.
  • Work with structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage.
  • Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation.
  • Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls.
  • Monitor and optimize performance of data workflows using CloudWatch, AWS Step Functions, and performance tuning techniques.
  • Automate data processes using Python, PySpark, SQL, or AWS SDKs.
  • Collaborate with cross-functional teams to support AI/ML, analytics, and business intelligence initiatives.
  • Maintain and enhance CI/CD pipelines for data infrastructure using Terraform, CloudFormation, or CDK.
  • Troubleshoot and resolve data integration, performance, and reliability issues in a cloud environment.

Required Skills & Qualifications

  • 5+ years of experience in data engineering with a strong focus on AWS cloud technologies.
  • Proficiency in Python, PySpark, SQL, and AWS Glue for ETL development.
  • Hands-on experience with AWS data services, including Redshift, Athena, Glue, EMR, and Kinesis.
  • Strong knowledge of data modeling, warehousing, and schema design.
  • Experience with event-driven architectures, streaming data, and real-time processing using Kafka or Kinesis.
  • Expertise in IaC (Infrastructure as Code) using Terraform, CloudFormation, or AWS CDK.
  • Familiarity with DevOps and CI/CD practices for data pipelines.
  • Strong problem-solving skills and ability to work in an Agile/Scrum environment.

Preferred Qualifications

  • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate.
  • Experience with Airflow for workflow orchestration.
  • Exposure to big data frameworks such as Apache Spark, Hadoop, or Presto.
  • Hands-on experience with machine learning pipelines and AI/ML data engineering on AWS.

Benefits

  • Competitive salary and performance-based bonus structure.
  • Join a rapidly expanding start-up where personal growth is a part of our DNA.
  • Benefit from a flexible work environment focused on deliverable outcomes.
  • Receive private medical insurance through Aviva.
  • Enjoy the benefits of a company pension plan through Nest.
  • 25 days of annual leave plus UK bank holidays.
  • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.
  • Participate in a generous employee referral program.
  • A highly collaborative and collegial environment with opportunities for career advancement.
  • Be encouraged to take bold steps and embrace a mindset of experimentation.
  • Choose your preferred device, PC or Mac.
  • Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.

Diversity & Inclusion
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:

This role at Amber Labs is a 12 Month FTC position, and all employees are required toHold current active SC clearance. Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.

What Happens Next?
Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting


#J-18808-Ljbffr

Related Jobs

View all jobs

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.