Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer (SC Clearance)

Amber Labs
united kingdom
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.