126 to 150 of 1,687 Databricks Jobs in the UK

full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for include: Azure Data Factory, Azure Databricks, Blobs, Azure SQL, Synapse, etc. Python development for data engineering C# experience would be advantageous Solid experience with databases A curious mindset! The role is More ❯

full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for include: Azure Data Factory, Azure Databricks, Blobs, Azure SQL, Synapse, etc. Python development for data engineering C# experience would be advantageous Solid experience with databases A curious mindset! The role is More ❯

full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for include: Azure Data Factory, Azure Databricks, Blobs, Azure SQL, Synapse, etc. Python development for data engineering C# experience would be advantageous Solid experience with databases A curious mindset! The role is More ❯

have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in data modelling (relational, NoSQL, dimensional) and DevOps automation (Docker, Kubernetes, Terraform, CI/CD). More ❯

teams spread globally. What we value These skills will help you succeed in this role: Full stack cloud developer skills: Data (Delta Lake/Databricks), PL/SQL, Java/J2EE, React, CI/CD pipeline, and release management. Strong experience in Python, Scala/PySpark, PERL/scripting. Experience More ❯

teams spread globally. What we value These skills will help you succeed in this role: Full stack cloud developer skills: Data (Delta Lake/Databricks), PL/SQL, Java/J2EE, React, CI/CD pipeline, and release management. Strong experience in Python, Scala/PySpark, PERL/scripting. Experience More ❯

Data Engineer - Insurance Company - Didcot (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We’re working in partnership with a forward-thinking insurance company based in Didcot that’s heavily investing in data and technology to drive smarter decisions and better outcomes for More ❯

Data Engineer - Insurance Company - Didcot (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We’re working in partnership with a forward-thinking insurance company based in Didcot that’s heavily investing in data and technology to drive smarter decisions and better outcomes for More ❯

Data Engineer - Insurance Company - Didcot (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We’re working in partnership with a forward-thinking insurance company based in Didcot that’s heavily investing in data and technology to drive smarter decisions and better outcomes for More ❯

as AWS. Ability to collaborate with stakeholders to develop clear business requirements. Experience with Big Data technologies, Data Lakes, Data Warehouses, Lakehouses. Proficiency in Databricks and Python, including concurrency and error handling. Experience with ETL tools and data visualization tools. Preferred qualifications, capabilities, and skills Experience with AWS services like More ❯

able to prioritise across several projects and to lead and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation More ❯

able to prioritize across several projects and to lead and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation More ❯

and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code More ❯

and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code More ❯

various industries to deliver cutting-edge technology solutions. Must Have Skills: Solid expertise in data modeling, with considerable experience in database technologies, particularly Azure Databricks, Azure Synapse, and Azure Data Factory, to support business intelligence, analytics, and reporting initiatives. Strong understanding of best practices in data modeling to ensure that More ❯

able to prioritise across several projects and to lead and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation More ❯

architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns. Experience in developing data product strategies, with a strong inclination More ❯

able to prioritise across several projects and to lead and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation More ❯

architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns. Experience in developing data product strategies, with a strong inclination More ❯

Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Experience communicating with business stakeholders, managing More ❯

and Content Management Systems. Understanding of streaming data technologies and methodologies. Experience in mainstream Cloud Data Lakehousing platforms (such as Apache Spark, Microsoft Fabric, Databricks, Snowflake) and associated industry standard/portable data formats (e.g., Delta Lake, Iceberg, Parquet, CSV, JSON, Avro, ORC, and XML) Experience in analysing/understanding More ❯

orchestration frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data More ❯

infrastructure as code (IaC). Experience with containerization and orchestration technologies (Docker, Kubernetes). Experience with data integration technologies (e.g., Azure Data Factory, Azure Databricks). Experience with system monitoring tools. Experience with event driven architectures. ⌛️ The Application Timeline A first stage video call with the internal recruitment team More ❯

insurance sectors. Expertise in designing and optimizing models for seamless consumption in Microsoft Power BI. Hands-on experience with Azure-based analytics products, including Databricks, Microsoft Fabric, and Azure SQL Server. Strong background in IT development processes and delivery lifecycles, including development methodologies, release strategies, configuration management, and tools across More ❯

environments with minimal supervision. Preferred Qualifications: Experience with incrementality testing and geo-experiments. Familiarity with data pipelines and cloud-based platforms (e.g., Snowflake, BigQuery, Databricks, dbt). Experience presenting to senior executives and influencing strategic decisions with data. What you'll get from us Please note that the benefits below More ❯