16 of 16 Databricks Jobs in the Thames Valley

Senior Databricks Engineer - Banbury Hybrid - Salary £65-75K + Benefits Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £65,000 - £75,000 per annum. About the role: As our Senior … Databricks Engineer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of BFS business units domestically and internationally. You … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into More ❯

Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary More ❯

and audit readiness. Systems & Process Integration: Collaborate with Technology and Finance teams to align data across platforms, ensuring migrations are executed right first time and leveraging modern tools (e.g., Databricks, Datasphere, Purview). Insight & Reporting Enablement: Partner with BI teams to surface unified, reconciled data models that support both management and statutory reporting. Capability Building: Define enduring roles and skills More ❯

Head of Data Engineering - Azure & Databricks - Remote - Up to 100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation More ❯

Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation More ❯

Senior Data Engineer (Databricks) Full Time/Permanent £70,000 - £80,000 + car allowance, generous bonus, private medical and other extensive benefits Hybrid - 1 day a week in the Oxfordshire head office required The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered in Oxfordshire, UK … and also have offices throughout the UK, Europe and the US. The Role: We are looking for a driven and experienced Senior Data Engineer with extensive Databricks experience to join a rapidly growing in house Data team during an exciting period of change. This is a role where you can really make your mark and impact change very quickly . … with the Data Architect to interpret data architecture designs into actionable build plans and lead the development of data processing workflows. From a technical standpoint you must possess: Extensive Databricks experience including Unity Catolog and Spark SQL Strong programming skills, preferably in Python and SQL Strong knowledge and experience in Azure, including working with Azure Data Factory and Azure Storage More ❯

Senior Data Engineer in Databricks - Lead the Future of Data in Financial Services Location: Hybrid | 2-3 days/week on site Offices: South East and North West Salary: Up to £80,000 + Car Allowance + Bonus + Benefits Note: Visa sponsorship is not available for this role. Be the Technical Leader in a Bold Data Transformation Our client … agile environments and wants to make a real impact. Key Responsibilities Lead and mentor two Data Engineers, providing technical guidance and coaching. Design and deploy modern data pipelines using Databricks and Azure. Transform unstructured external data into clean, business-ready models. Build semantic layers and embed Unity Catalog for robust data governance. Guide the team in taking Databricks from development … production. Support Terraform adoption and infrastructure-as-code practices. Why This Role Stands Out Leadership and impact: Influence technical direction, team culture, and delivery standards. Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform. Attractive package: Up to £80k base + car allowance + bonus + benefits. Hybrid working: Offices across the South East and North West, with More ❯

gather stakeholder requirements independently. Self-starter with the ability to work independently. Strong communication skills and confidence engaging with stakeholders. Detail-oriented with a proactive mindset. Experience working with Databricks would be a nice to have. Experience supporting data migrations or modernisation projects would be a nice to have. HOW TO APPLY: Please register your interest by sending your CV More ❯

Role/Job title Data Scientist - Azure ML Ops & Databricks Work Location Wokingham, UK Role type - Permanent/Fixed Term/Contracting Contracting Mode of working Hybrid/office based Office based 5 Days in Office If Hybrid, how many days are required in office? NA Number of positions 1 Duration of assignment 06 Months Any other working conditions - travel …/on call/shifts To be published on job boards from below onwards The Role: Data Scientist - Azure ML Ops & Databricks Your responsibilities: Data Analysis & Modeling: Utilize Python for advanced data analysis, exploration, and processing to uncover actionable insights. Develop and implement machine learning models and algorithms using Python , Azure Machine Learning , and Databricks . ML Ops & Deployment: Manage … Governance: Develop and maintain large-scale data models to support analytics and reporting needs. Ensure data quality and integrity through effective data governance and validation processes. Platform Expertise: Utilize Databricks for advanced data processing and analytics, ensuring scalability and performance. Continuous Improvement: Stay updated with the latest advancements in data science, machine learning, and cloud technologies to apply best practices. More ❯

team to ensure designs meet business objectives Steer key decisions on how data flows between business systems/applications About You: Strong data architecture experience Understanding of Fabric, Snowflake, Databricks, Power BI Strong stakeholder management experience Experience in end-to-end design and delivery of data solutions On Offer: Competitive salary Private medical insurance Pension contribution 5-8% Hybrid working More ❯

Head of Data – Azure & Databricks | Permanent | Hybrid (2–3 Days in London) Flexible salary + comprehensive benefits package – contact us to learn more! Are you ready to lead the evolution of a cutting-edge data platform? My client is seeking a visionary Head of Data to define and drive their data strategy, leveraging Azure and Databricks to deliver scalable, high … Enforce strong data governance, quality standards, and security protocols across the data estate. What We're Looking For Proven leadership in data engineering and analytics, ideally within Azure and Databricks ecosystems. Expertise in ETL orchestration, Azure Data Factory, and medallion architecture. Strong experience with Power BI, DAX, and KPI-driven dashboarding. Ability to translate complex technical concepts into clear business More ❯

Calculation: Determine potential return on investment for proposed solutions. Relationship Building: Cultivate relationships with clients, sales teams, and technical teams. Working with the science and technology Partners such as Databricks and Google Negotiation Skills: Collaborate with clients and sales teams to reach beneficial agreements. Technical Account Leadership Product Knowledge: Develop a deep understanding of the company's product or service … R&D IT OR Data & Informatics Data Modeling: Understand logical, physical, and conceptual data models. Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks). Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions. Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud More ❯

Data Engineering Lead - Hybrid - Azure/Databricks - London Permanent Salary: £90,000 Are you a seasoned Data Engineering professional ready to lead the charge in building scalable, high-performance data platforms? An industry leading, global firm is seeking a Data Engineering Lead to drive innovation across their hybrid Azure/Databricks environment. About the role: Shape data strategy for global … benefits Work with cutting-edge tech in a collaborative, inclusive environment Key Responsibilities: Architect and optimize robust data pipelines for large-scale ingestion, transformation, and delivery Leverage Azure and Databricks to enable seamless data integration and enrichment Implement best practices for orchestration, monitoring, and error handling Lead and mentor a BI team, ensuring timely delivery of dashboards and data products … Champion data governance, quality, and security across platforms Requirements: Proven expertise in Azure, SQL, Databricks, and Azure Data Factory Experience implementing medallion architecture frameworks Strong leadership and stakeholder engagement skills Hands-on Power BI and DAX experience More ❯

DevOps Engineer, Cloud Engineer, or DataOps Engineer working in Azure-based data platforms, supporting complex, large-scale workloads within mature Agile delivery environments. Deep hands-on expertise with Azure Databricks, including clusters, job orchestration, Workflows, Repos, Delta Lake, Unity Catalog, metastore configuration, and workspace administration. Strong experience with Azure DevOps YAML pipelines, Git branching strategies, artifact management, automated testing, and … environmental promotion workflows. Expert-level knowledge of Terraform for provisioning Databricks resources, Azure networking, storage, key vaults, identities, private endpoints, and associated cloud infrastructure. Strong understanding of Azure cloud services such as Azure Data Lake Storage, Azure Key Vault, Azure Monitor, Azure VMs, Azure Networking, Azure Log Analytics, and Azure AD. Proficient in scripting with Python, Bash, or PowerShell, with … experience developing automation scripts, deployment utilities, and system health monitoring tools. Experience designing and implementing monitoring, logging, and observability solutions for data pipelines running in Azure Databricks, including cluster/job metrics, cost telemetry, and platform-level operational dashboards. Strong communication, documentation, and stakeholder management skills, collaborating effectively with technical and business teams. Understanding FinOps practices, including monitoring Azure cost More ❯

Notice period - (2 weeks max)The Role This contract has been created to keep a high-volume reporting workstream moving while the wider team focuses on the Databricks migration. You'll own a mix of Tableau, SQL and SSRS development work, supporting business stakeholders and maintaining existing reporting across the estate. Day-to-day, you'll gather requirements directly from … in code reviews, and contribute to best practice across the BI function. Success in this project looks like: Stable delivery of BAU reporting Smooth migration of legacy reports into Databricks High-quality SQL and Tableau deliverables that stakeholders can self-serve from Clear documentation of reporting and BI processes Key Responsibilities Develop, amend and maintain Tableau dashboards Create, optimise and … support SQL Server stored procedures, views, functions and ad hoc queries Maintain and develop SSRS reports Support the migration of existing reporting into the Databricks environment Contribute to documentation, testing and code reviews Engage directly with stakeholders to gather requirements and support self-service Ensure consistency with internal processes, governance and data protection standards Tech Stack & Experience: Must-Have: Tableau More ❯

Notice period - (2 weeks max) The Role This contract has been created to keep a high-volume reporting workstream moving while the wider team focuses on the Databricks migration. You'll own a mix of Tableau, SQL and SSRS development work, supporting business stakeholders and maintaining existing reporting across the estate. Day-to-day, you'll gather requirements directly from … in code reviews, and contribute to best practice across the BI function. Success in this project looks like: Stable delivery of BAU reporting Smooth migration of legacy reports into Databricks High-quality SQL and Tableau deliverables that stakeholders can self-serve from Clear documentation of reporting and BI processes Key Responsibilities Develop, amend and maintain Tableau dashboards Create, optimise and … support SQL Server stored procedures, views, functions and ad hoc queries Maintain and develop SSRS reports Support the migration of existing reporting into the Databricks environment Contribute to documentation, testing and code reviews Engage directly with stakeholders to gather requirements and support self-service Ensure consistency with internal processes, governance and data protection standards Tech Stack & Experience Must-Have: Tableau More ❯