151 to 175 of 588 Databricks Jobs in the UK

data migration, and data cleansing methodologies. Moderate to advanced SQL skills, with experience writing complex queries. Experience integrating with cloud-based data warehouses/data lakes (e.g., Snowflake, AWS, Databricks, Big Query) and data analytics tools (e.g., Tableau). Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to thrive in a fast More ❯

between data points that lead to valuable insights. Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus. Data Literacy: Ability to prepare high-quality datasets that preserve the core meaning of the data, enabling quick understanding of its relevance and implications for the More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE More ❯

in SQL with experience using relational databases (e.g. MySQL/SQL Server) and NoSQL databases (e.g. AWS DynamoDB). Familiarity with Snowflake or similar cloud Data Warehouse platforms (e.g. Databricks, Redshift, Big Query, etc.). Proficiency with Python scripting. You have experience building robust and reliable data models with excellent attention to detail, considerations for data quality, and a pragmatic More ❯

Asda's data strategy. What You'll Bring Proven experience in data analysis, with the ability to interpret complex information and deliver meaningful insights. Advanced SQL knowledge Experience with Databricks is a plus, though not essential. Familiarity with relational databases and data structures. Proficiency in Excel and other Microsoft Office tools; experience with BI platforms such as Power BI is More ❯

solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across front-end and back More ❯

Asda's data strategy. What You'll Bring Proven experience in data analysis, with the ability to interpret complex information and deliver meaningful insights. Advanced SQL knowledge Experience with Databricks is a plus, though not essential. Familiarity with relational databases and data structures. Proficiency in Excel and other Microsoft Office tools; experience with BI platforms such as Power BI is More ❯

.NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about helping others More ❯

analysing unstructured data/semi structured data to solve business problems, and presenting impactful insights Experience with RPA/Automation tools Familiarity with Data Lake frameworks such as Azure DataBricks Experience using EPIC (EMR) Understanding of building and maintaining ETL packages using MS SSIS Healthcare experience (NHS/Private) or working with healthcare datasets/applications (Desirable) What can we More ❯

Proven ability to interpret complex business requirements and translate them into scalable technical solutions Solid hands-on experience working with Python for data handling, transformation, or orchestration Familiarity with Databricks, preferably in an Azure environment Excellent communication and collaboration skills-you're approachable, professional, and confident engaging with both technical and non-technical stakeholders Strong self-management-able to juggle More ❯

field with 3+ years experience. PREFERRED QUALIFICATIONS - Full-stack development experience e.g. React/Angular and integration with backend - AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake - Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g. More ❯

focus on service delivery, ensuring continuous improvement and innovation within the Data Platform. Strong people and communication capabilities, fostering collaboration and engagement across teams. Key Technology (awareness of) Azure Databricks, Data Factory, Storage, Key Vault Experience with source control systems, such as Git dbt (Data Build Tool) for transforming and modelling data SQL (Spark SQL) & Python (PySpark) Certifications (Ideal) SAFe More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases More ❯

technologies Cloud migration frameworks (Azure functions, Logic Apps, App Services) Java or Microsoft technologies, Azure platform and .Net ecosystem Database technologies and platforms like SQL, NoSQL, Data Lake, Snowflake, Databricks, MongoDB, Oracle Observability platforms like Splunk, Dynatrace, Datadog, Grafana About Royal London We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure … Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/Python, or Spark/Scala. Required technical and professional expertise Commercial experience as a Data Engineer … or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL databases, data modeling, and ETL/ELT processes. Proficiency in at least one More ❯

DATABRICKS ENGINEER 6-MONTH CONTRACT £450-£550 PER DAY (OUTSIDE IR35) This role is a great opportunity for a skilled Databricks Engineer to join a data-driven financial services firm undergoing a major transformation of their data infrastructure. You'll be a key player in modernising their data platform with Databricks and Azure, while supporting scalable data pipelines and machine … THE COMPANY This business is investing heavily in data as it digitises operations across its risk, product, and customer intelligence teams. They're building a modern Lakehouse architecture using Databricks, Delta Lake, and Azure Data Lake. You'll be part of a collaborative, forward-thinking team with a focus on best practices, automation, and end-to-end data enablement. THE … Azure stack. Your responsibilities will include: Designing and deploying ETL pipelines using PySpark and Delta Lake on Databricks. Supporting the deployment and operationalisation of ML models with MLflow and Databricks Workflows. Building out reusable data products and feature stores for data science teams. Tuning performance across clusters, jobs, and workflows. Migrating legacy systems (SSIS/SQL) to Databricks and cloud More ❯

performance data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Strong skills in SQL and Apache Spark (Scala or Python). A strong foundation in data disciplines such … Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful solutions under More ❯