21 of 21 Databricks Jobs in the Thames Valley

project lifecycle, from presales through to operational handover. What Youll Be Doing Designing and delivering cloud-based data platforms using Azure services such as Databricks, Synapse Analytics, Microsoft Fabric, Azure SQL Database, Data Lake/Blob Storage, Cosmos DB, Azure Data Factory and Power BI Producing conceptual, logical and physical ...

comfortable writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with ...

data pipelines across cloud and on-premise source systems. Delivering reliable data ingestion, transformation, and delivery processes using technologies such as Azure Data Factory, Databricks, SSIS, and SQL . Reducing manual interventions through automation and standardisation , including data preparation, feature engineering, and training-data pipelines. Preparing data models and datasets … Python or R for data processing or analytics. Hands-on experience with data integration and ingestion tools such as Azure Data Factory and Databricks . Proven experience in data modelling , data warehousing, and relational database platforms (e.g. MS SQL Server). Experience designing cloud-native and/or on-prem ...

standards and secure delivery practices Technical Environment Python, SQL, Spark, and distributed data processing Cloud platforms, AWS, Azure, or GCP Modern data platforms including Databricks and Snowflake Data lakes, warehouses, APIs, and secure pipelines DevOps, automation, and governance tooling Requirements Active DV clearance, mandatory Strong experience building production data pipelines ...

understanding of machine learning fundamentals and data workflows Strong communication skills and a collaborative mindset Big bonus points for: Experience with Snowflake Experience with Databricks Exposure to ML pipelines, MLOps, or production ML systems If you're excited about building AI systems, learning fast, and growing your career ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

working with data pipelines or distributed systems Experience in data, analytics engineering, platform engineering or technical consultancy Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow. Why now? The company is scaling rapidly across industries. Join now and you'll: Shape how the platform evolves Learn directly ...

implement Azure-first cloud infrastructure (networking, identity, storage, Kubernetes). Support data lakes and warehouses (e.g., Snowflake). Enable data/ML platforms like Databricks, Azure ML, Synapse, MLflow, Airflow. Drive automation with Terraform, Azure DevOps, CI/CD pipelines. Embed security and compliance standards (GDPR, ISO 27001). What ...

together proofs of concept and find the value in the data. From a technical point of view they're looking for Python, SQL, DataBricks/Snowflake - but tooling isn't really the issue at hand. Your ability to be a "translator" and convert commercial opportunity into data solution and vice ...

improve efficiency and introduce AI-driven workflows Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt) Experience with Node.js and TypeScript is a plus Thrive in fast-paced startup environments and feel energized by ambiguity Move quickly and constantly look for ways ...

data engineering capability within the business. Responsibilities Lead the design and development of end-to-end data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Architect, implement and oversee high-performing data lakes, data warehouses and ETL/ELT processes Develop scalable, robust data models for enterprise-level … architectural decisions and data engineering standards across projects Skills and Experience Extensive hands-on experience with Azure data services such as Synapse, Data Factory, Databricks or Fabric Strong SQL skills with experience building optimised, complex queries Proficiency in Python and/or PySpark for data transformation and automation Strong experience ...

right at the start of our data journey. Not maintaining something someone else built five years ago, but designing and building a modern Databricks Lakehouse on Azure from the ground up and we need a Data Engineer who's as curious about why we're doing … better tool to solve a problem you'll fit right in. What you'll bring You'll likely have: Hands-on expertise with Databricks Confidence in Python, Spark and SQL Experience building pipelines in Azure A solid understanding of data modelling and scalable architectures But just as important ...

seeking a dynamic Partner Sales who operates as a true Player-Coach. In this high-impact role, you will own the overall Databricks strategy and execution. You will primarily manage a cross-functional high-performance team comprising the Growth PDM, Growth Databricks Sellers, Growth Marketing Team, and Field CTO Team. … work across Tredence's Practices, Verticals, and internal/external stakeholders to drive a unified strategy, ensuring Tredence maintains its status as a top Databricks partner. Key Responsibilities 1. Strategic Leadership & Business Unit Management (The \"Coach\") Unified Strategy Ownership: Own the creation and implementation of the Joint Business Plan ...

seeking a dynamic Partner Sales who operates as a true Player-Coach. In this high-impact role, you will own the overall Databricks strategy and execution. You will primarily manage a cross-functional high-performance team comprising the Growth PDM, Growth Databricks Sellers, Growth Marketing Team, and Field CTO Team. … work across Tredence's Practices, Verticals, and internal/external stakeholders to drive a unified strategy, ensuring Tredence maintains its status as a top Databricks partner. Key Responsibilities 1. Strategic Leadership & Business Unit Management (The \"Coach\") Unified Strategy Ownership: Own the creation and implementation of the Joint Business Plan ...

have time to learn. Required Experience Experience working in a Managed Service team supporting Azure based Production Data & Analytics ETL/integration solutions (Fabric, Databricks, Synapse, Data Factory, Function Apps, Power BI etc) against SLAs Python, PySpark, Scala, Spark SQL Ability to identify and investigate complex problems and implement resolutions … C#), SQL (including SSAS, SSIS & SSRS) Azure infrastructure (VMs, VNETs, certificates etc...,) ITIL v3/v4 Foundation Microsoft certifications (DP-203, DP-600 etc.), Databricks certifications Development of enhancements to data pipelines/notebooks & Power BI reports/models Benefits We have a lovely office in Thames Valley Park Company ...

code and provide expertise in several key technology areas. Stay up to date with the latest advancements in MLOps, Agentic systems, Azure and Databricks technologies, and proactively identify opportunities to enhance our ML capabilities. About You Degree in computer science, engineering, or proven experience in ML engineering. Proven experience … building and operating machine learning models. Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices. Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices. Excellent communication and collaboration skills. About Us We are a business ...

Responsibilities Platform Ownership Act as the technical owner of Braze and the wider CRM vendor ecosystem Braze, SparkPost/ESP, Branch, Validity, Hightouch, Databricks). Ensure the platform is stable, scalable, and architected for long-term growth. Define and maintain scalable event taxonomies, naming conventions, and governance standards. Build … regulated or PII-heavy environments. Desirable Experience completing or stabilising a multi-market CRM platform migration. Familiarity with warehouse-native CRM setups (e.g. Databricks + Reverse ETLtools). Exposure to AI-enabled marketing capabilities. Experience working in global or multi-market environments. Fintech or regulated industry experience. ...

greenfield growth role focused on building pipeline from the ground up, owning the full sales cycle, and co-selling with ecosystem partners—primarily Microsoft, Databricks, and Anaplan. The role requires strong new-business development capabilities, deep partner-led selling experience, and the ability to engage senior stakeholders to position high … creation to proposal submission, negotiation, and deal closure Meet and exceed revenue, pipeline, and win-rate targets for new business Co-sell with Microsoft, Databricks, and Anaplan Partner Sales teams, Account Executives, and Solution Architects to deliver joint value propositions Build and maintain senior executive relationships with partners and customer ...

Python Developer, NumPy, Pandas, COR7433A This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will ...

Python Developer, NumPy, Pandas, COR7433 This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will ...

architectures, covering data ingestion, identity resolution, segmentation, and activation Define how the CDP integrates with, Data lake/lakehouse platforms (e.g. Databricks), CRM and sales platforms (e.g. Salesforce), Marketing automation and engagement tools (e.g. Braze) Apply strong understanding of batch vs real-time data flows, consent, and privacy-aware design … data architectures, spanning CDP and identity resolution, Marketing automation and engagement platforms, CRM and customer-facing systems, Data lake/lakehouse platforms (e.g. Databricks). Proven track record of leading discovery, requirements definition, and solution shaping in complex or ambiguous environments Previous exposure and comfortable engaging with senior business ...