9 of 9 Contract Delta Lake Jobs

to capture Cloud + Databricks needs. Define security, compliance, downtime tolerance, RPO/RTO, SLAs, and cost requirements. Capture data platform requirements across ingestion, transformation, governance, and analytics (Databricks, Delta Lake, Unity Catalog, Workflows). Map service and data dependencies, classify criticality, and align to the Core Cloud capability catalogue. Produce a clear, endorsed baseline of Core Cloud … BA within cloud or data platform programmes (Azure + Databricks ideal). Experience working with AWS tech stack Strong experience gathering technical, data, and platform requirements. Understanding of Databricks (Delta Lake, Unity Catalog, governance, clusters, pipelines). Comfortable engaging technical and non-technical stakeholders; strong documentation skills. Nice to Have: Data platform migration experience; exposure to FinOps; agile More ❯

to capture Cloud + Databricks needs. Define security, compliance, downtime tolerance, RPO/RTO, SLAs, and cost requirements. Capture data platform requirements across ingestion, transformation, governance, and analytics (Databricks, Delta Lake, Unity Catalog, Workflows). Map service and data dependencies, classify criticality, and align to the Core Cloud capability catalogue. Produce a clear, endorsed baseline of Core Cloud … BA within cloud or data platform programmes (Azure + Databricks ideal). Experience working with AWS tech stack Strong experience gathering technical, data, and platform requirements. Understanding of Databricks (Delta Lake, Unity Catalog, governance, clusters, pipelines). Comfortable engaging technical and non-technical stakeholders; strong documentation skills. Nice to Have: Data platform migration experience; exposure to FinOps; agile More ❯

mindset with a passion for modern data and platform technologies. Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

methodologies that enhance efficiency, scalability, and cost optimisation Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and More ❯

at the forefront of emerging technologies. Nice to Have Experience rolling out data governance and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as More ❯

with Databricks (including notebooks, clusters, and job orchestration) Strong knowledge of Apache Spark , PySpark , and distributed data processing Experience building and optimising ETL pipelines and data workflows Familiarity with Delta Lake , SQL , and data modelling best practices Ability to work with large, complex datasets from multiple sources Comfortable working independently in a fully remote environment Strong understanding of … detail and structured approach to analysis Ability to interpret business needs and translate them into scalable data solutions Desirable Experience with Azure Databricks and related cloud services (Azure Data Lake, Data Factory) Knowledge of data governance , security , and compliance in government environments Familiarity with CI/CD pipelines for data engineering This is an excellent opportunity for experienced Databricks More ❯

engineering tasks. . Familiarity with GitLab for version control and CI/CD. . Strong understanding of unit testing and data validation techniques. Preferred Qualifications: . Experience with Databricks Delta Lake, Unity Catalog, and MLflow. . Knowledge of CloudFormation or other infrastructure-as-code tools. . AWS or Databricks certifications. . Experience in large-scale data migration projects. More ❯

Python for data engineering tasks. Familiarity with GitLab for version control and CI/CD. Strong understanding of unit testing and data validation techniques. Preferred Qualifications: Experience with Databricks Delta Lake, Unity Catalog, and MLflow. Knowledge of CloudFormation or other infrastructure-as-code tools. AWS or Databricks certifications. Experience in large-scale data migration projects. Background in Finance More ❯

models and reports. Experience required: Strong background in data engineering, warehousing, and data quality. Proficiency in Microsoft 365, Power BI, and other BI tools Familiarity with Azure Databricks and Delta Lake is desirable. Ability to work autonomously in a dynamic environment and contribute to team performance. Strong communication, influencing skills, and a positive, can-do attitude. Knowledge of More ❯