426 to 450 of 1,789 Databricks Jobs

a cross-functional team environment. Strong organisation and time management skills, with the ability to manage multiple priorities. Willingness to learn new systems, tools, and processes. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. Creating and Managing ETL processes Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and More ❯

a cross-functional team environment. Strong organisation and time management skills, with the ability to manage multiple priorities. Willingness to learn new systems, tools, and processes. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. Creating and Managing ETL processes Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and More ❯

I need to apply for the role Expert SQL, Power BI, and data modelling. Familiarity working in an Azure environment (ADF ideal). Strong communication and stakeholder management skills. Databricks or Python desirable (not essential at all). My client are looking to book in first stage interviews for later this week and slots are already filling up fast. I More ❯

R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming More ❯

Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation , preferably using Databricks Strong foundation in Data Warehousing architectures and dimensional modeling Familiarity with batch processing from relational database sources Communication & Collaboration Skills of the Data Engineer Outstanding stakeholder engagement abilities across technical More ❯

Previous experience with MS Fabric would be beneficial but it’s not essential as long as you’ve worked in a similar role with MS Azure Data Platforms, Synapse, Databricks etc. Key Responsibilities include: Design, develop, and maintain scalable data pipelines and systems. Utilize Microsoft Fabric to ensure seamless data orchestration, integration and management. Implement, optimize and maintain data storage More ❯

firm Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design More ❯

firm Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design More ❯

you'll specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps. You'll work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, PowerBI, Databricks, Azure DevOps, OpenAI and so on. Your role will involve creating robust, scalable cloud- solutions, automating deployments, and ensuring seamless integrations. Our culture is collaborative, fast-paced, and built around More ❯

data modelling and analysis Power BI experience in a business-facing environment Nice to have: Python for data analysis or scripting Familiarity with cloud data environments (e.g. Azure, Snowflake, Databricks) If you're a BI developer with London Market experience looking to make a real impact, this is a rare opportunity to help shape a data-driven future from the More ❯

will specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps. You will work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, Power BI, Databricks, Azure DevOps, OpenAI, and more. Your role will involve creating robust, scalable cloud-native solutions, automating deployments, and ensuring seamless integrations. Our culture is collaborative, fast-paced, and centered around 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 ❯

/06/2025 Learning Provider Delivered by UNIVERSITY OF HERTFORDSHIRE Employer GEMSTONE IT SERVICES LIMITED Vacancy Description Key Responsibilities: Build and maintain scalable data pipelines using Azure Synapse, Databricks, and SQL-based transformations Integrate APIs and web services to collect and ingest external data into centralised data platforms Use Python to automate data processing, perform ETL tasks, and write More ❯

more junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

testing in data-intensive environments . Strong knowledge of testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g. More ❯

more junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services. Mid-Level Data Engineer Responsibilities Build and maintain reliable More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services. Mid-Level Data Engineer Responsibilities Build and maintain reliable More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯

data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities Build and More ❯