476 to 500 of 865 Databricks Jobs in England

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

Data Engineer to play a key role in the creation of a brand-new data platform within the Azure ecosystem including Azure Data Factory (ADF), Synapse and PySpark/Databricks and Snowflake. You will be a data ingestion and ETL Pipeline guru, tackling complex problems at source in order to retrieve the data and ensure to can flow upstream to More ❯

Translate non-technical requirements into technical solutions Identify new opportunities for data-driven decision-making across the business What We’re Looking For Strong data engineering skills (Python, SQL, Databricks) Experience delivering end-to-end data science and analytics projects Ability to communicate with non-technical stakeholders and work collaboratively Intellectually curious, self-motivated, and highly hands-on Comfortable working More ❯

Translate non-technical requirements into technical solutions Identify new opportunities for data-driven decision-making across the business What We’re Looking For Strong data engineering skills (Python, SQL, Databricks) Experience delivering end-to-end data science and analytics projects Ability to communicate with non-technical stakeholders and work collaboratively Intellectually curious, self-motivated, and highly hands-on Comfortable working More ❯

or platform teams in a production environment Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS More ❯

/fulltime or 6 - 12 month contract (both option available) Summary of any essential experience required for the role Strong Python programming knowledge, ideally Pyspark Knowledge of the Azure Databricks platform and associated functionalities Adaptable, with a willingness to work flexibly as the needs of the organisation evolve. Working well within a team, and able to work closely with internal More ❯

with senior stakeholders to influence architectural decisions and standards You'll bring: Proven experience as a Lead Data Architect or Senior Data Solutions Architect Expertise in Kafka/Confluent , Databricks , Unity Catalog , and modern data lake/lakehouse architectures Strong grasp of cloud data platforms (AWS, Azure, GCP, Snowflake) Understanding of Data Mesh , Data Fabric , and data product-centric approaches More ❯

a Data Engineer or Data Analyst role with a focus on technical delivery Strong hands-on expertise in SQL, Python, and Apache Spark in a production environment Experience with Databricks and Microsoft Azure is highly advantageous Exceptional problem-solving skills and a keen attention to detail Ability to communicate complex data concepts clearly to non-technical stakeholders Self-motivated, proactive More ❯

in a data specialist role with a passion for solving data-related problems. Expertise in SQL, Python , and Apache Spark , with experience working in a production environment. Familiarity with Databricks and Microsoft Azure is a plus. Financial Services experience is a bonus, but not required. Strong verbal and written communication skills , with the ability to explain complex data concepts. Exceptional More ❯

Proficiency with digital analytics tools (e.g., Google Analytics or equivalent). Experience with visualization tools (e.g., Looker Studio, Power BI or equivalent). Experience with SQL environments (e.g., BigQuery, Databricks or equivalent). Strong analytical skills with the ability to draw concise insights from multiple data sets. Excellent stakeholder engagement and collaboration skills. Ability to manage multiple projects concurrently. Inquisitive More ❯

lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply More ❯

high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools More ❯

high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools More ❯

to tackling new challenges A strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands More ❯

high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools More ❯

and Excellent. What you'll need to succeed Strong proficiency in SQL, Excel, Power BI, and DAX is essential. Experience with cloud-based data platforms such as Snowflake or DataBricks is preferred. Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical techniques such More ❯

talented Data Analyst to specialize in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor More ❯

Distributed Systems: HDFS, Hadoop, Spark, Kafka Cloud: Azure or AWS Programming: Python, Java, Scala, PySpark – you’ll need two or more, Python preferred Data Engineering Tools: Azure Data Factory, Databricks, Delta Lake, Azure Data Lake SQL & Warehousing: Strong experience with advanced SQL and database design Bonus Points: Exposure to geospatial data or data science/ML pipelines What They're More ❯