including at least 3 years in a leadership position. Deep hands-on expertise in modern data architecture, pipelines, and tooling (e.g., Airflow, DBT, Kafka, Spark, Python, SQL). Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable data systems. Familiarity with analytics and ML workflows, including model More ❯
your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of ApacheSpark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and More ❯
norwich, east anglia, United Kingdom Hybrid / WFH Options
Algo Capital Group
tools and alerting frameworks SQL experience including queries/updates/table creation/basic database maintenance Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation More ❯
data acquisition & wrangling, modelling, feature engineering and deployment What's equally relevant is programming knowledge and a gift for coding using: Python, SQL, or Spark You'll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts to non-specialists What More ❯
and migrating a host of applications suites to a Kubernetes infrastructure environment. Requirements: Kubernetes implementation, Kubernetes-specific architecture, hands-on migration work, Kubernetes Security Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Desirable More ❯
