51 to 75 of 1,313 Databricks Jobs in the UK

mentoring experience Technologies & Experience Desired: Git and JIRA software and backlog management tools Power BI, Tableau, Qlik or Looker Matillion, Talend, Pentaho, SSIS Databricks, DBT, Fivetran Snowflake, Microsoft SQL Server, Oracle DB or Redshift Building CI/CD pipelines and IaC Analytical skills including the ability to apply a range ...

Strong stakeholder management and communication skills. Experience delivering within large-scale public sector or enterprise transformation programmes. Desirable Skills Microsoft Fabric Azure Data Factory Databricks Azure DevOps SQL Server Oracle Cloud environments DevSecOps and Infrastructure as Code practices TOGAF, Azure Architecture, or Microsoft Power BI certifications What We're Looking ...

workflow orchestration tools (e.g., Apache Airflow, Dagster). Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). Advanced SQL skills and proficiency in Python. Strong background in modern software development practices (testing, code review, CI/ ...

data mining, business intelligence, big data, data governance, data quality, and data cleansing. Experience with Microsoft Azure (a plus): Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory. Understanding of big data technologies (Hadoop, Spark). Able to create rich visualisations that appropriately represent the underlying ...

Monitoring and logging. Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. Experience 4+ years of experience in Data Engineering, DevOps, DataOps ...

Infrastructure‐as‐Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years’ experience working on data engineering ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

data modelling techniques. Experience implementing and supporting CI/CD practices, version control frameworks and collaborative development methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with ...

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles ...

Infrastructure-as-Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering ...

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles ...

control, code review, reproducibility, modular design, documentation, and maintainable code practices. Strong experience with Azure‐based data and ML platforms, ideally including Azure ML, Databricks, Azure Data Factory or Fabric pipelines, Blob/Data Lake storage, and MLflow or similar tooling. Experience building production‐grade ETL/ELT pipelines ...

Tableau or other data visualisation platforms for client facing deliverables Working with large and complex datasets, ideally in structured databases and distributed systems like Databricks Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud Experience in some of the following areas would also be beneficial: Generative ...

Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review ...

want to help solve the public sector’s toughest challenges with Data and AI? That is what we do every day at Databricks. Databricks is looking for a senior-level Enterprise Account Executive to own and grow our Public Sector business across the Republic of Ireland and Scotland. You will … sustainable growth. Working closely with government stakeholders, internal teams, cloud providers, and strategic partners, you will deepen consumption in existing accounts and extend Databricks’ footprint across the Republic of Ireland. The impact you will have Build and execute a strategic, Ireland-wide go-to-market plan that prioritises government agendas ...

write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as well as a familiarity with different development methodologies ...

integration What You’ll Bring Data Architecture – Proven experience designing and building data warehouse/lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling – Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance - Experience with data platforms with data quality, security ...

including Azure Synapse, Azure Data Factory, and Databricks. Knowledge of SSRS, SSAS, SSIS, DAX, or MDX. Experience with Azure DevOps and Git. Exposure to Databricks, PySpark, or advanced analytics technologies. Microsoft Data and AI certifications, particularly Microsoft Fabric certifications. What can we offer you? Healthcare cash plan. This will give ...

continuous improvement of both the platform and the team.**Your Skills:*** Experience in cloud-based data engineering using Azure, AWS, or GCP, preferably with Databricks, Snowflake, or Microsoft Fabric.* Strong SQL skills and experience with Python, along with a keen interest in modern data platforms and architectures.* Good understanding ...

analytics-ready models, including curated datasets, fact/dimension models or semantic datasets. Experience with modern cloud data platforms such as Microsoft Fabric, Synapse, Databricks, Snowflake or equivalent. Good understanding of data quality, lineage, governance, privacy and access control in analytical environments. Experience working with Power BI or similar ...

lifecycle management. 2. Data platform and solution design Design scalable cloud data platforms and lakehouse solutions using Microsoft Fabric, OneLake, Azure Data Factory, Azure Databricks, Azure Synapse and related Azure services. Define approaches for batch and real-time data ingestion, transformation, storage, integration and consumption. Guide the design of data ...

lifecycle management. 2. Data platform and solution design Design scalable cloud data platforms and lakehouse solutions using Microsoft Fabric, OneLake, Azure Data Factory, Azure Databricks, Azure Synapse and related Azure services. Define approaches for batch and real-time data ingestion, transformation, storage, integration and consumption. Guide the design of data ...

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. ...

have experience working within mature data environments using established data platforms, tooling and engineering practices. This may include technologies such as Fabric, Snowflake, Databricks, Azure, AWS or similar. Specific platform experience is less important than the ability to apply that experience pragmatically and contribute to the future direction ...