226 to 250 of 406 Permanent Databricks Jobs

.We are looking for a Data Architect with proven experience designing and implementing data platforms using Databricks . In this mid-level role, you will play a critical part in architecting scalable data solutions that drive analytics, data science, and business intelligence efforts. You will work cross-functionally with engineering, analytics, and infrastructure teams to transform raw data into valuable … enterprise assets. Designing and implementing cloud-native data architectures using Databricks and technologies such as Delta Lake, Spark, and MLflow. Developing and maintaining robust data pipelines, including batch and streaming workloads, to support data ingestion, processing, and consumption. Collaborating with business stakeholders and analytics teams to define data requirements, data models, and data integration strategies. Ensuring data architecture solutions are … Catalogue if applicable). Providing technical guidance to junior engineers and analysts in the adoption of modern data architecture patterns. Evaluating and recommending emerging tools and frameworks within the Databricks ecosystem and broader data engineering space. Having a solid understanding of analytics engines and columnar databases to support performance-optimised data solutions. Experience with full-text search platforms is highly More ❯

Key Focus : Lead pre-sales and solution design for banking clients. Engage with C-level stakeholders and shape transformation roadmaps. Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake. You'll Need : Vast experience in BI/DW/Analytics, including 4+ years in pre-sales. Banking transformation experience (reg reporting, finance/data modernisation). Strong cloud More ❯

Key Focus : Lead pre-sales and solution design for banking clients. Engage with C-level stakeholders and shape transformation roadmaps. Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake. You'll Need : Vast experience in BI/DW/Analytics, including 4+ years in pre-sales. Banking transformation experience (reg reporting, finance/data modernisation). Strong cloud More ❯

Ideally you can demonstrate experience across - Full data production life cycle Conceptual and logical data designs Data modelling (3NF) Data mining Data Vaults/Kimball methodology Azure Cloud Services - Databricks, ADF, CosmosDB, Azure SQL Data warehouse design, Data lakes/lakehouses Working with both structured and unstructured data is essential Stakeholder engagement across business and data teams Please note this More ❯

compliance screening technologies (FIRCO, Prime Compliance Manager, Quantexa). Strong cloud expertise (Azure preferred) and hybrid deployment knowledge. Proficiency in programming/scripting for integration and automation. Experience with DataBricks, Snowflake, or similar data platforms. Deep understanding of financial services compliance requirements. Preferred Advanced degree in Computer Science, Engineering, or related field. Cloud architecture certifications (Azure preferred). Background in More ❯

compliance screening technologies (FIRCO, Prime Compliance Manager, Quantexa). Strong cloud expertise (Azure preferred) and hybrid deployment knowledge. Proficiency in programming/scripting for integration and automation. Experience with DataBricks, Snowflake, or similar data platforms. Deep understanding of financial services compliance requirements. Preferred Advanced degree in Computer Science, Engineering, or related field. Cloud architecture certifications (Azure preferred). Background in More ❯

that support decision-making across business units. • Optimize R scripts and packages for large-scale data processing and analysis. • Lead the design and implementation of data pipelines using Azure Databricks, ensuring efficient and scalable data processing workflows. • Optimize data engineering tasks within Databricks, including data extraction, transformation, and loading (ETL) processes. • Develop and manage interactive reports and dashboards using Power … and migrations. • Hands-on experience with Apache Tomcat for web application and service management. • Proficiency with R Studio for data analysis, modeling, and statistical computations. • Experience working with Azure Databricks for data engineering and big data processing. • Advanced knowledge of Power BI for report creation, data visualization, and dashboard management. • Proven ability to lead technical teams, mentor staff, and communicate … with Azure DevOps for continuous integration and deployment of data management solutions. • Familiarity with scripting and automation using PowerShell, Python, or Azure CLI. • Certifications in Microsoft Azure, SQL Server, Databricks, or Power BI are a plus. • Experience with Machine Learning or AI applications in data management (e.g., using R or Databricks). Clearance: Applicants selected will be subject to a More ❯

of professional experience PhD with 5+ years of professional experience Linux/Unix experience Object Oriented programming language experience Strong Experience with data warehousing and data lakes Experience with Databricks, Advana or similar tools Preferred Self-starter with a willingness to learn new skill Possess strong verbal and written communication skills More ❯

deliver impactful solutions. Act as a role model, inspiring confidence, capability, and growth within the team. Skills and Experience Strong experience in data engineering and systems development, particularly with Databricks & Azure Strong technical expertise in data integration, automation, and system design. Proven track record in leading and mentoring technical teams within agile environments. Ability to balance hands-on technical execution More ❯

deliver impactful solutions. Act as a role model, inspiring confidence, capability, and growth within the team. Skills and Experience Strong experience in data engineering and systems development, particularly with Databricks & Azure Strong technical expertise in data integration, automation, and system design. Proven track record in leading and mentoring technical teams within agile environments. Ability to balance hands-on technical execution More ❯

building and managing Docker containers . Strong Linux Infrastructure knowledge. Solid background in Azure Infrastructure engineering . Nice to Have: Hands-on experience with Domino , Azure DevOps , Python , GitHub , Databricks . Familiarity with Agile Scrum methodologies . Why Join? This is an exciting opportunity to lead technical innovation within HPC, working on impactful projects at scale. Youll have the chance More ❯

fractional leader, balancing priorities across multiple projects and client engagements. Role Requirements Must have experience: • Data entities • Mastering data • Integration patterns • Data Governance • Data Quality • Hands on experience with Databricks, data lineage, building ETLs, data engineering • Medalion architecture • Background in data engineering • Familiarity with enterprise systems (ERP, CRM, etc.) Preferred experience: • 5+ years in architecture • Data analytics • BI • Data visualization More ❯

closely with IT Operations, business stakeholders, and the broader Data & Innovation team to deliver impactful solutions. Skills and Experience Significant experience in data engineering and system development,? in particular Databricks, Microsoft technologies (Azure, Power Platform, M365) and integrations. Experience working with a broad range of SaaS applications such as Workday and Monday.com desirable. Proven ability to lead and mentor technical More ❯

and procedures to ensure data integrity and security. Stay current on emerging data engineering technologies and tools to optimize data pipelines and workflows. Desired Skills: Experience with Splunk, Cribl, Databricks and Apache Spark for big data processing and analysis. Data Visualization: Proficiency in creating interactive dashboards and visual representations of data, potentially using tools like Tableau. Experience with data lake More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Program Income More ❯

experience as working with a broad cross section of users 1 or more years of experience writing queries and using data gathering/retrieval tools such as SQL, Python, DataBricks, Tableau, etc Knowledge of various communication skills such as test writing, email, Microsoft Office and virtual training. Project Management Experience in less complex projects which consists of some or all More ❯

architecture and enterprise data. Proficient with programming languages (C#, ASP.NET.NET Core, SQL). Demonstrated experience in working with REST APIs. Demonstrated experience in working with Cloud data warehouse like Databricks and Snowflake. Demonstrated experience in working with modern cloud data and DevOps techniques. Strong understanding of Agile methodologies with experience working on Agile delivery teams. Exceptional communication skills with the More ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

is modelled, consumed, and visualised, while championing best practices in engineering. As a Senior Data Engineer, you'll also act as a mentor. Sharing your knowledge of cloud platforms, Databricks, and modern engineering techniques with junior team members, and influencing the wider data culture. Key Responsibilities: Design and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL. … about solving complex data challenges at scale and has a proven track record of delivering enterprise-level solutions. Essential Skills: 5 years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with … shape the future of a high-growth retail & e-commerce business through technology and data. Impact at scale - work on a platform supporting millions of customers. Cutting-edge tech - Databricks, Azure, Data Factory, and modern BI tools. Career growth - opportunities to progress, upskill, and influence strategy. Collaborative culture - knowledge sharing, learning, and innovation are encouraged. Hybrid working - enjoy a balance More ❯

leading the engineering team and also input into design and strategy decisions. Initially there will be a focus on GCP but will also involve working extensively with Snowflake and Databricks, as well as other modern cloud and data engineering tools. As the technical leader for the data engineering function, you will define architectural standards, mentor engineers, and collaborate with cross … had essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices and deep technical expertise in GCP, AWS and/or Databricks alongside experience of driving the team and inputting to the overall vision/strategy. Responsibilities Provide technical leadership and mentorship to the data engineering team, driving best practices in architecture … architectures Advanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and analytics workflows Strong background in cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functions Desirable skills Familiarity with machine learning pipelines and MLOps practices Additional experience with Databricks More ❯

application. What you'll be doing at BRITA You will play an active role in setting up and operating our new Data Analytics Platform, using modern technologies such as Databricks, dbt, Airflow, Terraform and Azure Data Services. At the same time, you will manage our existing BI landscape and help shape the transition to the new architecture. Your responsibilities will … can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A motivated team with principles such as trust, personal responsibility, transparency and continuous development. A structured operating … great if you bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise More ❯

application. What you'll be doing at BRITA You will play an active role in setting up and operating our new Data Analytics Platform, using modern technologies such as Databricks, dbt, Airflow, Terraform and Azure Data Services. At the same time, you will manage our existing BI landscape and help shape the transition to the new architecture. Your responsibilities will … can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A motivated team with principles such as trust, personal responsibility, transparency and continuous development. A structured operating … great if you bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise More ❯

more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we're still growing. Job Purpose With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use … engineering practices (e.g. TDD, CI/CD). Experience with Apache Spark or any other distributed data programming frameworks. Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. Experience with cloud infrastructure like AWS or Azure. Experience with Linux and containerisation (e.g Docker, shell scripting). Understanding Data modelling and Data Cataloguing principles. Understanding of … end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. Experience of building a data transformation framework with dbt. Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. What you'll get in return Competitive base salary Up to 20% bonus BAYE, SAYE & Performance share schemes Flexible benefits More ❯

in equal measure. Youll oversee the modernisation of our Azure-based data environment, champion scalable and resilient data pipelines, and drive adoption of tools such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Working across all areas of the IET, youll ensure our data is secure, accessible, and delivering maximum value for analytics, business intelligence, and operational excellence. Youll … about the role Lead and modernise The IETs data architecture, ensuring alignment with best practice and strategic goals. Drive adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable, resilient data pipelines to support analytics and reporting. Stay hands-on in solving technical challenges, implementing solutions, and ensuring the reliability of More ❯

reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. … are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building More ❯