At a Glance
- Tasks: Join a dynamic team to build and optimise data pipelines for impactful projects.
- Company: Amber Labs, a forward-thinking digital consultancy transforming the UK public sector.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career development.
- Why this job: Make a real difference in digital transformation while working with cutting-edge technologies.
- Qualifications: Experience in data engineering, ETL processes, and cloud infrastructure is essential.
The predicted salary is between 50000 - 65000 £ per year.
Location: Fully remote (no multi-site travel required)
Contract Type: Permanent / or 12-month Fixed Term Contract (with a view going perm)
Employer: Amber Labs – Digital Consultancy
Clearance: Active SC Clearance required.
Start Date: Immediate
About Amber Labs
Amber Labs is a forward-thinking digital consultancy delivering innovative cloud, data, and DevOps solutions across the UK public sector. We specialise in helping organisations achieve digital transformation at pace while maintaining the highest security and governance standards.
We are seeking a Data Engineer who can integrate into an existing data delivery team, operate with strong autonomy, and contribute meaningfully from day one. The successful candidate must demonstrate strategic technical ownership, the ability to lead data engineering streams, and — critically — prior exposure to the end client or wider public sector.
Role Overview
This role is suited to a strong mid-to-senior level engineer with solid experience in data engineering, ETL processes, cloud infrastructure, and streaming technologies. The successful candidate will work closely with analysts, data consumers, and technical stakeholders to ensure data is reliable, accessible, and fit for operational and analytical use. The role combines hands-on engineering with strong collaboration and stakeholder engagement.
- ETL & Data Engineering Practices (Essential)
- Strong understanding of ETL and modern data engineering practices.
- Proven experience:
- Extracting and transforming raw data.
- Designing reusable transformation pipelines.
- Delivering structured datasets for reporting and analytics.
- Ability to:
- Build maintainable and scalable pipelines
- Optimise data flows and processing efficiency
- Handle large and complex datasets reliably
- Core Technical Skills
- Streaming & Messaging Technologies
- Good practical understanding of Apache Kafka
- Experience working with:
- Event-driven data pipelines
- Streaming ingestion patterns
- Asynchronous processing architectures
- Understanding of:
- Topics and partitions
- Consumer groups
- Data reliability and ordering considerations
- AWS & Cloud Data Engineering (Essential)
- Strong hands-on experience with Amazon Web Services
- Experience designing and supporting cloud-native data platforms
- Strong understanding of:
- Data storage patterns
- Scalability and reliability
- Secure data handling in AWS environments
- Experience with AWS services such as:
- S3/ Lambda / IAM / Glue
- Redshift or equivalent data services
- Infrastructure as Code
- Hands-on experience with Terraform
- Ability to:
- Provision and manage cloud infrastructure
- Maintain reusable and version-controlled infrastructure definitions
- Databricks (Nice to Have)
- Exposure to or experience with Databricks
- Understanding of:
- Distributed data processing
- Notebook-driven development
- Spark-based workloads
- Collaboration & Stakeholder Engagement
- Work closely with:
- Data analysts / Data scientists / Engineers / Business stakeholders
- Translate business and analytical requirements into technical solutions
- Communicate technical concepts clearly to non-technical audiences where needed
Apply Now and help shape the future of UK digital services with Amber Labs.
Locations
Data Engineer (SC Clearance Required) in Cheshire, Warrington employer: Amber Labs
Amber Labs is an exceptional employer that champions innovation and collaboration in the digital consultancy space, particularly within the UK public sector. With a fully remote work model, employees enjoy the flexibility to balance their professional and personal lives while contributing to meaningful projects that drive digital transformation. The company fosters a culture of continuous learning and growth, providing ample opportunities for career advancement and skill development in cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (SC Clearance Required) in Cheshire, Warrington
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just chat with folks on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of your skills and how you tackle real-world problems.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ETL processes and cloud infrastructure knowledge. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team.
We think you need these skills to ace Data Engineer (SC Clearance Required) in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL processes, cloud infrastructure, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention your experience with AWS and streaming technologies, as these are key for us.
Showcase Your Technical Skills:When filling out your application, don't hold back on showcasing your technical skills. Mention specific tools and technologies you've used, like Apache Kafka or Terraform. We love seeing candidates who are hands-on and ready to dive into the tech!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team at Amber Labs!
How to prepare for a job interview at Amber Labs
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around ETL processes, cloud infrastructure, and streaming technologies. Be ready to discuss your hands-on experience with AWS and tools like Apache Kafka, as well as how you've tackled data engineering challenges in the past.
✨Showcase Your Collaboration Skills
Since this role involves working closely with analysts and stakeholders, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight your ability to translate complex technical concepts into layman's terms, making it easier for non-technical team members to understand.
✨Demonstrate Strategic Thinking
Amber Labs is looking for someone who can take ownership of data engineering streams. Think about times when you've led projects or made strategic decisions that improved data reliability or processing efficiency. Be ready to discuss these experiences in detail.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about Amber Labs' approach to digital transformation and how they handle data governance. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
