Liverpool, Lancashire, United Kingdom Hybrid / WFH Options
The Acorn Group
systems, processes, and configurations to ensure clarity and continuity. What we are looking for Operating Systems - Strong experience with Linux environments. Cloud Platforms - Deep expertise in Azure; experience with AWS and GCP is a plus. Scripting - Proficiency in Bash, PowerShell, or similar scripting languages. Infrastructure as Code - Advanced experience with Terraform, Ansible, or similar tools. Version Control - Expertise in Git More ❯
Liverpool, Merseyside, North West, United Kingdom Hybrid / WFH Options
Broster Buchanan Ltd
with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker or Kubernetes and Cloud platforms: AWS (preferred), Azure, or GCP Beneficial to have Magento or other open-source e-commerce platform integration experience Prior experience building middleware for data sync, order processing, and internal APIs in More ❯
Liverpool, Merseyside, North West, United Kingdom Hybrid / WFH Options
Searchability (UK) Ltd
of our data. DATA ENGINEER - ESSENTIAL SKILLS Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED Please either apply by clicking online or emailing me directly . By More ❯
Liverpool, Merseyside, North West, United Kingdom Hybrid / WFH Options
Forward Role
referral scheme, long service recognition, and regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on … knowledge of AWS S3 and associated big data services Extensive experience with big data technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance Proven track record building automated, scalable ETL frameworks and data pipeline architectures Outstanding analytical and problem-solving abilities with talent for converting business … develop engineering talent Nice to haves: Knowledge of data streaming platforms such as Kafka or Flink Exposure to graph databases or vector database technologies Professional certifications in Azure or AWS cloud platforms If you're ready to take the lead on transformative data engineering projects, APPLY NOW or email *Please note this role cannot offer sponsorship and is not suitable More ❯