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

Nominate & Attend

Data Engineer (SC Clearance)

Breezy HR
5 months ago
Create job alert

Location: Remote


Work Pattern: Contract


Security Clearance: Required


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.



The Role:



We are seeking a highly skilled Data Engineer with strong expertise in AWS, EMR, Python, and PySpark to join our dynamic team. This role requires a self-starter who is confident in their technical abilities, thrives in a fast-paced environment, and has experience working within the public sector and consulting. You will play a key role in designing, building, and optimizing scalable data pipelines, working closely with cross-functional teams to deliver impactful data solutions.



Key Responsibilities:



Data Pipeline Development: Design, develop, and optimize ETL/ELT pipelines using AWS EMR, Python, and PySparkCloud Infrastructure: Build and manage scalable data processing solutions on AWS, leveraging services such as S3, Lambda, Glue, and RedshiftBig Data Processing: Work with large-scale datasetsin distributed computing environments, ensuring high performance and efficiencyAutomation & Optimization: Develop scripts to automate data ingestion, transformation, and validation processesCollaboration & Stakeholder Engagement: Work closely with clients, data scientists, and business analysts to understand requirements and deliver solutions that meet business needsConsulting & Public Sector Expertise: Provide strategic guidance on best practices in data engineering and analytics within the public sectorData Quality & Governance: Implement data validation, monitoring, and governance best practices to ensure data integrity and compliance




Requirements:


AWS Expertise: Strong experience with AWS EMR and other AWS data services (Glue, S3, Lambda, Redshift, Athena, etc.)


Programming: Proficiency in Python and PySpark for big data processing


Big Data Technologies: Hands-on experience working with distributed computing frameworks such as Spark


Self-Starter & Confident Communicator: Ability to take ownership of tasks, work autonomously, and engage confidently with stakeholders


Public Sector Experience: Previous experience working on government or public sector projects


Consulting Experience: Proven track record of working in client-facing consulting roles, delivering solutions to complex business challenges


Problem-Solving: Strong analytical and troubleshooting skills, with the ability to work under pressure in a fast-paced environment


Nice-to-Have:


Experience with Terraform, Kubernetes, or Docker for infrastructure automation.


Knowledge of SQL, NoSQL databases, and data warehousing solutions.


Familiarity with data security, governance, and compliance in the public sector.



Benefits:





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.



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:
Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.
Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.
This role at Amber Labs is a permanent position, and all employees are required to meet the Baseline Personnel Security Standard (BPSS). 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.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.