151 to 175 of 1,853 Databricks Jobs in England

and scripting languages, along with experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with Azure Data Factory and Databricks, as these tools are integral to managing data within the UDAL platform. Data Quality and Governance: Experience in implementing data quality controls, data cleansing routines, and establishing governance frameworks to More ❯

solutions. Ensure data quality and integrity across all platforms. Qualifications Minimum of 3-4 years of experience in data visualization. Proven track record of working with Power BI, Azure Databricks, SQL, Python, and Git. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to work independently and as part of a team. Additional Information You must More ❯

SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python (PySpark) and scripting languages like Bash. Knowledge of Git, CI More ❯

analytics user experience, unlocking growth 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 platforms. Knowledge of Azure Data More ❯

Advanced SQL, data transformation and data profiling skills. Experience of building production ETL/ELT pipelines at scale. 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Programming languages: Python (PySpark), scripting languages like Bash. Knowledge of Git, CI More ❯

excellence and continuous learning. What 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 scale; Advanced programming skills in More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

experience) Strong experience with data integration and migration, particularly with Salesforce. Experience with programming languages such as Python, C#, or PowerShell. Strong experience in writing text cleansing routines in Databricks Python/SQL and the ability to measure data quality/execute data validation tests, ideally in Databricks. Proficiency in Azure data services, including Azure Data Factory, Azure Data Lake More ❯

with designing efficient physical data models/schemas and developing ETL/ELT scripts Some experience developing data solutions in cloud environments such as Azure, AWS or GCP - Azure Databricks experience a bonus 30 minute video interview with the People & Operations Team 45 minute technical video interview with one of our Senior Data Engineers Final interview with our Partner, Head More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

Scala, or Java Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong understanding of data privacy More ❯

Scala, or Java Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong understanding of data privacy More ❯

AI/ML model training infrastructure (e.g., GPU orchestration, model serving) for both Diffusion- and LLM pipelines. Familiarity with data lake architectures and tools like Delta Lake , LakeFS , or Databricks . Knowledge of security and compliance best practices (e.g., SOC2, ISO 27001). Exposure to MLOps platforms or frameworks (e.g., MLflow, Kubeflow, Vertex AI). What We Offer Competitive salary More ❯

with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. RLDatix is an equal More ❯

with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. RLDatix is an equal More ❯

and analytics, unlocking quality growth 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 data platforms. Proficiency in Azure More ❯

and analytics, unlocking quality growth 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 data platforms. Proficiency in Azure More ❯

and collaborate on solutions to complex problems. Track record of staying current with best practices and new technology solutions. Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases. Proficiency in SQL, Python More ❯

frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). Strong foundation in statistics, probability, and hypothesis testing. Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hive, Databricks, etc.) is a plus. Excellent communication and storytelling skills with the ability to explain complex concepts to non-technical stakeholders. Proven track record of delivering impactful data science solutions in More ❯

basis your varied role will 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 reusable Python code tailored to More ❯

programs, functions, object classes, WebDynpro). Strong SQL skills with experience in query performance tuning. Knowledge of MS Power BI, Azure Data Lake, and Data Factory is an advantage. Databricks experience is a strong plus completed by a proficiency in Python. Additional Information The position is located in Saltaire, West Yorkshire. Our most important asset is our People Vantiva’s More ❯

Security and Compliance teams to 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 to the development of a More ❯

engineering, with at least 3 years in a management role. Proven track record in architecting, building, monitoring, and optimizing large-scale data systems and analytics infrastructure. Experience working in Databricks & Azure environment. Experience working with pipeline scheduling tools such as Airflow & Astronomer. Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus. Knowledge of software coding practices More ❯