26 to 50 of 635 Databricks Jobs in the UK excluding London

data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) alongside a curiosity to learn and adapt to others. ...

equivalent experience in computer science engineering, or a related field.Strong programming skills in languages such as Python, Java, or Scala.Hands-on experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data ...

with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience ...

Computer Science, Data/Software Engineering or a similar subject, with a strong foundation in core database systems and data structures. Proficiency in Databricks and big data coding languages, including SQL, Python and Scala. Experience designing and deploying ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

Desirable AWS certification at Associate or Professional level Experience with streaming and event‐driven data technologies Experience with technologies such as Spark, Kafka or Databricks Experience delivering data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security and assurance requirements Exposure ...

data governance and self-service BI into practice, including ownership, quality standards, training and user adoption Microsoft Fabric experience, or transferable Azure Synapse or Databricks Lakehouse experience, including an understanding of medallion architecture Strong Power BI semantic modelling and DAX skills, sufficient to take responsibility for shared datasets and business ...

large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering ...

focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We ...

Scrum development methodologies. Knowledge of data warehousing using MS SQL Server Tools. Experience with MS Azure technologies such as Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, Azure Data Lake Storage etc. Knowledge of data modelling, architectural principles and big data tools. Experience in diagnosing and troubleshooting complex data engineering ...

SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft SQL Server and data warehousing (Synapse/Fabric/Azure SQL) Azure Data Factory, Databricks, and modern ETL tooling Data modelling, data migration, and large-scale data transformation Building and maintaining cloud-based data platforms Working within Agile delivery environments ...

/CD and modern engineering practices Experience with Microsoft Fabric would be highly advantageous but is not essential. Candidates with strong experience across Azure Databricks, Azure Synapse, Azure Data Factory, Snowflake or comparable modern cloud data platforms will also be considered. The successful individual will be comfortable operating independently, making ...

highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building … maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex ...

stakeholders Требования Experience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWS Understanding of data integration processes and tools such as Databricks, DBT, or Glue Ability to design data models aligned with ETL pipelines Understanding of data management standards, regulatory compliance including GDPR and HIPAA, and security ...

with Microsoft Fabric Previous experience working for a Microsoft Partner or consultancy environment Experience with Azure Data technologies such as Synapse, Data Factory or Databricks Strong stakeholder management and client-facing consulting experience The ability to lead workshops, presentations and customer discussions Excellent communication and relationship-building skills Data modelling ...

various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding ...

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

have Programming: Proficiency in Python, Java, Scala, or similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. ...

focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands-on experience with Apache Spark, Databricks, dbt and cloud-based data platforms Good understanding of data modelling principles, data lakes and data warehouse architectures Experience working with CI/CD pipelines ...

will have a genuine passion for building scalable, resilient cloud data platforms alongside the following technical expertise: Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive ...

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres ...

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. ...

Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

these areas would be helpful: Experience working within Agile teams, ideally using SAFe methodologies. Knowledge of tools such as Qlik Replicate, Qlik Compose, Databricks, Informatica, or SAS. Understanding of data modelling methodologies, including Kimball, Data Vault, and Lakehouse. Awareness of Data Science, AI, and Machine Learning principles and practices. Experience ...

financial reporting.Technical Skills:Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge ...