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 - 70000 £ 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 Hampshire, Portsmouth 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 growth, offering ample opportunities for skill development and career advancement, making it an ideal place for data engineers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (SC Clearance Required) in Hampshire, Portsmouth
✨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 Hampshire, Portsmouth
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 the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Amber Labs
✨Know Your ETL Inside Out
Make sure you can talk confidently about your experience with ETL processes. Be ready to discuss specific projects where you've extracted, transformed, and loaded data, and how you designed reusable transformation pipelines. This will show that you understand the core technical skills required for the role.
✨Showcase Your Cloud Expertise
Since the role requires strong hands-on experience with AWS, brush up on your knowledge of services like S3, Lambda, and Glue. Prepare examples of how you've designed cloud-native data platforms and managed infrastructure using Terraform. This will demonstrate your capability to handle the cloud data engineering aspects of the job.
✨Communicate Like a Pro
You'll need to work closely with analysts and stakeholders, so practice explaining complex technical concepts in simple terms. Think of examples where you've successfully translated business requirements into technical solutions. This will highlight your collaboration skills and ability to engage with non-technical audiences.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Prepare to discuss how you would handle large datasets or optimise data flows. This will help the interviewers see your strategic thinking and technical ownership in action.
