326 to 350 of 1,799 Databricks Jobs

services and APIs What you'll bring: Experience with Microsoft Azure in a data engineering or administration role Hands-on expertise with Azure Synapse, Data Factory, Data Lake Gen2, Databricks Proficiency in SQL, Python, and PySpark Solid understanding of Lakehouse architecture and modern data practices Experience in CI/CD, DevOps, and infrastructure-as-code tools like Azure DevOps or More ❯

in at least one BI platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration More ❯

for statistical programming and data analysis Solid understanding of data warehousing, data mapping, and logical data modelling concepts Demonstrated experience with Azure data tools (e.g., Synapse, Data Factory, DataLake, Databricks) in a cloud-based architecture Excellent business analysis capabilities, including stakeholder engagement, process mapping, and requirements gathering Strong interpersonal, communication, and presentation skills, with the ability to translate complex data More ❯

managing teams & cross-functional data projects. Proven experience in data engineering, analytics, or data architecture, with experience leading & mentoring others. Strong understanding of Microsoft Azure (Data Lakes, Blob Storage), Databricks, and modern data stack tooling. Proficiency in SQL and Python for data manipulation and transformation. Familiarity with data visualisation tools such as power BI. Strong interpersonal and leadership skills - able More ❯

architecture principles in a Data & Analytics context Azure architecture, infrastructure services and networking Experience with Azure Analytical components and databases like Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Databricks, Power BI, SQL Server, Familiar with concepts and components such as VPNs, Private Endpoints, Virtual networks, Firewall, multi-region network, Aware of best-practices in data modeling, data warehousing, data More ❯

engineering and the application of data management design, such as Data Lakes and Data Warehouses. Some experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks, would be beneficial but not essential Good knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC). About Royal London We re More ❯

engineering and the application of data management design, such as Data Lakes and Data Warehouses. Some experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks, would be beneficial but not essential Good knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC). About Royal London We're More ❯

engineering and the application of data management design, such as Data Lakes and Data Warehouses. Some experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks, would be beneficial but not essential Good knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC). About Royal London We're More ❯

engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least More ❯

deployment of Alteryx workflows to the Production Gallery. Knowledge of database fundamentals including data design and SQL data warehouse design concepts and querying concepts is beneficial. Exposure to PowerBI, Databricks, Microsoft Azure and Profisee is an advantage. Knowledge of Json, Python, XML and R is an advantage. Experience with non-relational databases and unstructured data is beneficial. Exposure to using More ❯

Engineering: model datawarehouses both batch and real-time with for example clickhouse and dbt or sqlmesh Business intelligence: build visuals that answer critical business questions in for example metabase, databricks or powerbi. ML/AI: use modern tools to predict or use llm's to facilitate the insights hidden in unstructured data. You are not responsible for single handedly building More ❯

quality assurance, test automation, or data validation . Experience in testing data pipelines, ETL/ELT workflows, and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great More ❯

like Azure, AWS or GCP for deploying and managing ML models Familiarity with data engineering tools and practices, e.g., distributed computing (e.g., Spark, Ray), cloud-based data platforms (e.g., Databricks) and database management (e.g., SQL) Strong communication skills, capability to present technical concepts to technical and non-technical stakeholders Experience in developing AI applications using large language models (LLMs) and More ❯

new ideas or solutions Contribute to the development and maintenance of T&Ts documentation and processes Qualifications Skills required for this role are: Proven ability to work with with: Databricks Azure Data Factory Azure Data Lake Azure Synapse (and data warehousing approaches) or SSIS Azure Analysis Services Experience in programming languages such as: SQL Python Spark DAX A good understanding More ❯

and derivatives. Technical Skills Proficiency in Python and SQL for data manipulation and model development. Experience in working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion More ❯

. Oversee the development of dashboards, KPIs, and operational reports that support real-time and batch analytics across front-to-back processes. Ensure integration with enterprise data platforms (e.g. Databricks) and data warehouses. Monitor system performance, identify bottlenecks, and optimise data processing workflows for improved efficiency and scalability. Team Leadership & Governance Manage and mentor a team of BI developers, delivery More ❯

. Oversee the development of dashboards, KPIs, and operational reports that support real-time and batch analytics across front-to-back processes. Ensure integration with enterprise data platforms (e.g. Databricks) and data warehouses. Monitor system performance, identify bottlenecks, and optimise data processing workflows for improved efficiency and scalability. Team Leadership & Governance Manage and mentor a team of BI developers, delivery More ❯

. Oversee the development of dashboards, KPIs, and operational reports that support real-time and batch analytics across front-to-back processes. Ensure integration with enterprise data platforms (e.g. Databricks) and data warehouses. Monitor system performance, identify bottlenecks, and optimise data processing workflows for improved efficiency and scalability. Team Leadership & Governance Manage and mentor a team of BI developers, delivery More ❯

of a team that's transforming how data powers retail, this is your opportunity. Your Role (Key Responsibilities) Design, build, and optimise robust data pipelines using PySpark, SparkSQL, and Databricks to ingest, transform, and enrich data from a variety of sources. Translate business requirements into scalable and performant data engineering solutions, working closely with squad members and stakeholders. Handle data More ❯

levels, to develop your data skill set. Experience & Skills Experience or exposure to modern data platform technology, ideally cloud based (Azure preferable). Demonstrable exposure to Azure Data Factory, Databricks, Azure Synapse, Power BI, SQL Server - not necessarily from a work environment. Demonstrable understanding of SQL; querying, Strong record of organisation, proactivity and diligence - ideally in a customer facing environment. More ❯

professionals, who are committed to making Homes England a Data-led organisation To deliver this you will have opportunities to learn and utilise tools and technologies such as Azure Databricks, Computer Vision and Azure Machine Learning alongside languages such as PySpark, Python, R and SQL As a Data Scientist you will also have opportunities to work alongside the engineering team More ❯

within complex, regulated environments Strong understanding of data governance frameworks, data architecture, and AI/ML lifecycle management Experience with cloud platforms (e.g. Azure, AWS), data engineering tools (e.g. Databricks, Snowflake, Foundry), and analytics platforms (e.g. Power BI, Tableau) Knowledge of relevant legislation and standards, including GDPR, ISO 27001, and ethical AI guidelines Proven ability to translate business needs into More ❯

The "Nice to Haves" : • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (egAWS, Azure, Snowflake) and data warehouse/lakehouse technologies (egRedshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language More ❯

in at least one BI platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration More ❯