1 to 25 of 225 Databricks Jobs in the South East

market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage More ❯

such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related More ❯

in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS More ❯

daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, reusable Python code for data More ❯

and Experience: Educated to degree level or have equivalent professional experience. Experience translating business requirements into solution design and implementation. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product More ❯

a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured/unstructured data More ❯

and operational excellence. What are we looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data More ❯

you'll bring to the team: Proven experience as a Principal Data Engineer or Data Architect in a hands-on role; Deep expertise in Databricks and experience with cloud data platforms such as Snowflake, AWS or Azure; Strong proficiency in data modeling, data warehousing, and ETL/ELT architecture at More ❯

will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python,PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable More ❯

ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI) Oversee data integration strategy across the enterprise—including ETL/ELT pipelines, APIs, and event-driven data streaming Contribute More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯