51 to 75 of 1,114 Databricks Jobs in the UK excluding London

various industries to deliver cutting-edge technology solutions. Must Have Skills: Solid expertise in data modeling, with considerable experience in database technologies, particularly Azure Databricks, Azure Synapse, and Azure Data Factory, to support business intelligence, analytics, and reporting initiatives. Strong understanding of best practices in data modeling to ensure that More ❯

technologies can deliver tangible value and generate revenue for the organisation. You will leverage your deep technical expertise in modern data platforms, such as Databricks , Snowflake , and Microsoft Fabric , along with your customer-facing skills to consult, design, and implement advanced data solutions. You will also assist in crafting proposals … data & AI solutions. Conduct technical workshops/basecamp sessions, product demos, and presentations to potential clients, showcasing our expertise in modern data platforms like Databricks, Snowflake, Microsoft Fabric & other cloud native offerings Develop detailed solution architectures, high-level designs, and proof-of-concept prototypes. Contribute to our offshore based Practice … data & AI solution delivery, with a strong focus on pre-sales and customer-facing roles. Proven experience working with modern data platforms such as Databricks , Snowflake , Microsoft Fabric , Azure Synapse , AWS Redshift , or similar technologies. Expertise in cloud data architectures (Lakehouse, Hub & Spoke, Data Mesh etc.), data lakes, and big More ❯

data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Microsoft Fabric More ❯

data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Microsoft Fabric More ❯

data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Microsoft Fabric More ❯

have a strong understanding of various financial products and the trading life cycle. The role Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ More ❯

with the expectation of 2-3 days/week onsite as the standard. Must Haves: Data Engineering/PowerBI experience Strong competence with Azure Databricks, SQL, Python, PowerBI, DAX Proven experience leading the design of data models, transformation logic, and build of all Power BI dashboards - including testing, optimization & integration More ❯

leading a talented team of data engineers and architects in designing, building, and optimising their datalakehouse infrastructure. This role requires a deep understanding of Databricks and a passion for data-driven solutions. Key Responsibilities: Lead the design and implementation of a scalable datalakehouse architecture using Databricks. Collaborate with cross-functional More ❯

in Python coding Strong DAX and T-SQL skills, including query optimization Industry experience in insurance or financial services is a plus Familiarity with Databricks is advantageous More ❯

in a data engineering or data science capacity, ideally within a cloud-based setup. Solid grasp of SQL, ETL workflows, data modelling principles, and Databricks development. Familiarity with DevOps tooling such as Git, CI/CD pipelines, and Azure DevOps. Confident in working with programming languages like SQL and Python More ❯

degree in computer science or a relevant area. Excellent coding skills specifically in Python. Very desirable commercial technical experience with tools such as Spark, Databricks, Airflow, Docker etc Commercial Containerisation & Infrastructure as code experience Previous work in a CI/CD environment AWS is the preferred cloud platform - Azure and More ❯

code Developing customised applications (APIs, loaders, reports, data pipelines, BI tools) Quickly acquiring new technical skills (Azure IaaS/PaaS, Crystal Reports, Python, Azure Databricks, Azure Data Factory, Power BI, etc.) Requirements of the Senior Developer (ETRM) Proven experience within trading environments (hedge funds, investment banks, trading houses, asset managers More ❯

as AWS. Ability to collaborate with stakeholders to develop clear business requirements. Experience with Big Data technologies, Data Lakes, Data Warehouses, Lakehouses. Proficiency in Databricks and Python, including concurrency and error handling. Experience with ETL tools and data visualization tools. Preferred qualifications, capabilities, and skills Experience with AWS services like More ❯

managers to align AI solutions with commercial goals. Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for More ❯

large scale Data Warehousing projects in corporate environments in regulated industries is desirable. Desired experience with Azure Cloud, Azure DevOps, ADSL2, CosmoDB, Synapse, PowerBI & DataBricks Ability to query and interrogate data using languages such as SQL is essential Robust evidence of delivering data analysis and solutions is essential Good interpersonal More ❯

large scale Data Warehousing projects in corporate environments in regulated industries is desirable. Desired experience with Azure Cloud, Azure DevOps, ADSL2, CosmoDB, Synapse, PowerBI & DataBricks Ability to query and interrogate data using languages such as SQL is essential Robust evidence of delivering data analysis and solutions is essential Good interpersonal More ❯

with dataset collection and improvement strategies. Familiarity with knowledge graphs and their applications. Experience handling large-scale datasets and using distributed computing frameworks like Databricks or Spark. Background in insurance or cybersecurity. Understanding of data privacy regulations such as GDPR and CCPA. Salary & Benefits £40,000 - £60,000 depending on More ❯

experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such More ❯

data platform solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of GenAI and LLM offerings in the market • Skilled in working on More ❯

data platform solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on More ❯

infrastructure as code (IaC). Experience with containerization and orchestration technologies (Docker, Kubernetes). Experience with data integration technologies (e.g., Azure Data Factory, Azure Databricks). Experience with system monitoring tools. Experience with event driven architectures. ⌛️ The Application Timeline A first stage video call with the internal recruitment team More ❯

skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we More ❯

robust data pipelines for scalable data processing Developing and maintaining ETL workflows to support analytics and reporting Hands-on with Azure ecosystem: Data Factory, Databricks, and Synapse Analytics Experience working with data warehousing solutions and architecture Strong coding skills in SQL and Python for data transformation and querying Whilst based More ❯

working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit More ❯

working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit More ❯