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.
Job Description
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.
* Strong understanding of ETL and modern data engineering practices
* Extracting and transforming raw data
* Delivering structured datasets for reporting and analytics
* 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 asynchronous processing architectures
* Understanding of topics and partitions
* Data reliability and ordering considerations
* 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
* 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
* 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
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