Ofertas › Hackajob Ltd
Hackajob Ltd · Spital Tongues, United Kingdom · £61,000 - 101,000 per year
Salary: £61,000 - 101,000 per year Requirements: Willingness to undergo a Security Clearance process, including BPSS; applicants must have 5 years of UK address history at the point of application. Minimum 8 years experience in client-facing data engineering or data architecture roles. Recognised expertise in data architecture, data modelling, data engineering and data platform design. Strong proficiency in Python, SQL, Spark and Scala, with experience using distributed and non-distributed compute architectures. Experience with a major cloud platform (Azure, AWS or GCP) and associated data services; experience with cloud-native tools such as ADF, AWS Glue or GCP Dataflow. Experience architecting CI/CD frameworks and managing platform lifecycles, using tools such as Azure DevOps, GitHub Actions or Jenkins. Infrastructure-as-Code expertise, such as Terraform or Ansible, and proficiency with container orchestration tools such as Kubernetes or Docker. Experience with modern data platforms such as Databricks or Snowflake, and familiarity with data visualisation and UI tools such as Power BI, PowerApps or Tableau. Experience working in Agile and Waterfall environments. Strong communication and stakeholder management skills, including the ability to explain technical concepts to technical and non-technical audiences. Security and compliance awareness. Relevant industry certifications, such as Azure Data Engineer, AWS Solutions Architect or GCP Data Engineer. Experience mentoring or managing technical teams. Responsibilities: Guide data architecture direction for projects and clients, influence enterprise data strategies, and promote best practices in data engineering and architecture. Mentor and develop junior engineers and architects, fostering technical excellence and innovation. Architect and design scalable, reliable, high-performance, enterprise-scale data platforms and AI and data products. Define and enforce data architecture standards, patterns and governance frameworks for pipelines, ingestion layers, modelling and analytics. Design data solutions using advanced AI and data-modelling approaches to meet client needs. Lead the integration of data from streaming, batch, cloud and on-premises sources using Azure, AWS and GCP services. Oversee data modelling, governance and quality frameworks, and collaborate with engineering and DevOps teams on CI/CD architectures. Guide the selection and implementation of analytics and reporting tools, including Power BI,