6 of 6 Temporary Databricks Jobs

real-time data pipelines Knowledge of microservices and distributed systems Tech & Cloud Experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Databricks, Snowflake, or BigQuery Engineering Practices Strong in testing, CI/CD, Git Experience with Terraform, Docker, Kubernetes Experience 3+ years in data engineering Agile experience and strong ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

data solutions from the ground up. What You’ll Be Doing Design, build, and maintain data pipelines using Azure Data Factory and Azure Databricks Write Python and SQL for ingestion, transformation, and automation workflows Developing scalable and maintainable data models Troubleshoot pipeline failures, performance issues, and data quality problems Translate … documentation, internal knowledge sharing, and continuous improvement initiatives Required Skills & Experience 1+ years’ experience in Azure Data Engineering. Hands-on production experience with Azure Databricks and Azure Data Factory Strong SQL and Python fundamentals Understanding of data modelling principles Clear written and verbal communication skills Comfortable working independently and collaboratively ...

platform and analytics capabilities , with a strong focus on performance, scalability, and self-serve analytics. The role You'll take full ownership of the Databricks Lakehouse and BI architecture, leading the migration away from legacy systems while building a clean, governed and scalable platform. This is not just a design … deep in the detail , refactoring SQL, building pipelines, and optimising performance. What you'll be doing Design and implement a governed Databricks Lakehouse architecture (Unity Catalog, schemas, volumes) Lead migration of complex legacy SQL logic into modular, scalable pipelines Build and optimise data transformation frameworks using Spark/Python/ ...

best practices, operational excellence, and continuous improvement Manage capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering … trading systems (ETRM/Endur), market data (ICE, Platts, Bloomberg), SAP. Degree in Computer Science/Engineering or equivalent experience; Azure Data Engineer or Databricks certifications a plus. Does this sound likeyournext career move? Applytoday. Working with Certain Advantage We go the extra mile to find the best people ...

thought leader on metadata, cataloguing, and governance design, with a strong focus on enterprise tooling capabilities, specifically: Collibra Enterprise Data Catalogue (EDC), Databricks Unity Catalogue, and the evolution of enterprise catalogue, access, and metadata analytics. This is an important role ensuring data, analytics, and AI assets are discoverable, trusted, governed … general audience Experience in working in varied natural teams Proven ability to operate as a senior individual contributor influencing at scale Desirable Experience with Databricks, Unity Catalog, and data platforms Knowledge of AI governance, model registries, and emerging AI regulation Experience in complex, global enterprise environments Strong facilitation, communication ...