23 of 23 Databricks Jobs in the Thames Valley

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

Senior Databricks Engineer (flexible location) 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 £60,000 - £70,000 per annum. About the role: As our Senior Databricks Engineer, you will operate within … 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 … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with More ❯

based data platforms incorporating the full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for include: Azure Data Factory, Azure Databricks, Blobs, Azure SQL, Synapse, etc. Python development for data engineering C# experience would be advantageous Solid experience with databases A curious mindset! The role is mostly remote but we need More ❯

What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching More ❯

will give you the knowledge to understand how critical data is in our decision making to drive our business forwards. Responsibilities: Use tools such as SharePoint, Power BI and Databricks (SQL, Python) to perform basic data analysis. Create visualisations and dashboards to communicate insights effectively. Support the development of regular and ad-hoc reports for business. Work collaboratively with internal More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning More ❯

practices (integration, automation). Problem-solving, collaboration, and growth mindset. Nice to have: Containerisation and orchestration (Docker, Kubernetes). Infrastructure as Code (Terraform, Ansible). Observability tools (Prometheus, Grafana, Databricks). What To Expect Next: 1st stage: Introduction call with a member of the TA team (30 mins) 2nd stage: Hiring manager interview (60 mins) What We Offer: Early Finish More ❯

users in line with security standards Qualifications ✔ Experience in a data, operations, or analytics-focused role ✔ Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL ✔ Strong communication skills and a collaborative, solutions-focused mindset ✔ An organised, proactive approach—comfortable working across teams and timelines ✔ Excitement for new technology, data storytelling, and digital marketing innovation 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 ❯

Databricks Data Architect – London, UK Permanent | Analytics We’re looking for an experienced Databricks Data Architect to join a growing analytics practice. This is a strategic role where you’ll combine deep technical expertise with client-facing leadership, shaping and delivering modern data solutions for leading organisations. What you’ll be doing: Leading technical teams to design and deliver large … scale, end-to-end data solutions Architecting modern data platforms (data lakes, lakehouses, warehouses) with Databricks and related tools (Snowflake, Synapse, Azure Fabric) Applying data governance and master data management practices to ensure quality and compliance Advising clients on strategy, future-state architectures, and cloud migrations Driving collaboration, innovation, and best practices across projects and teams What we’re looking … for: 10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau More ❯

Ensure cohesive and maintainable system design and integration across the team's projects. What We're Looking For Deep technical expertise in data engineering and system development, particularly with Databricks and Microsoft technologies (Azure, Power Platform, M365). Experience with SaaS applications such as Workday and (url removed) is desirable. Proven ability to lead and mentor small, agile technical teams More ❯

teams on complex data projects. Skilled in stakeholder engagement and business/data alignment. Desirable Certifications such as CFA, CAIA, or CISI. Exposure to modern data technologies (e.g. Snowflake, Databricks, Microsoft Fabric). Knowledge of data governance platforms (e.g. Collibra, Informatica). More ❯

part in unlocking the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and … create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI More ❯

management of Kubernetes clusters, covering architecture, networking, CI/CD, storage, and security. · Collaborate with cross-functional teams to design and deliver robust cloud infrastructure solutions. · Administer and support Databricks environments, including access control, storage configuration, and networking. · Diagnose and resolve complex technical issues using observability tools and root-cause analysis. · Automate infrastructure provisioning and maintenance using Infrastructure as Code … monitoring and observability tools (Datadog, CloudWatch, Azure Monitor, Coralogix). · Familiarity with DevOps and Site Reliability Engineering (SRE) principles. · Knowledge of networking and cloud security best practices. · Experience with Databricks is a plus. · Excellent problem-solving and stakeholder communication skills. Benefits Include · Annual performance-based bonus · Comprehensive pension scheme · Flexible working arrangements (remote, hybrid, or office-based) · Generous holiday allowance More ❯

is a key role within our organisation, combining technical excellence with strong people and strategic leadership. You'll bring significant experience in data engineering and system development, particularly using Databricks, Microsoft Azure, Power Platform, M365, and integration's. You'll lead by example, remaining hands-on with technology while developing and mentoring a small, agile team. We're based in … stakeholders across the business to understand needs and deliver impactful solutions. Ensure best practices in system design, architecture, and performance. What We're Looking For Deep technical expertise in: Databricks, Azure, Power Platform, M365 System integration's and automation Proven track record of leading and mentoring technical teams, ideally in a small, agile environment. A leader who is equally comfortable More ❯

optimise customer retention, product quality and speedy and efficient delivery to the customer. Initially you'll be responsible for migrating the current on-premise data platform to Azure using Databricks; you'll collaborate with the Head of Digital and AI to modernise the current Data infrastructure and monetise the data available, working with senior business stakeholders to deliver tangible business … You are an experienced, senior Data Engineer/Architect with data architecture skills and experience within an eCommerce environment You have a strong knowledge of Azure, ideally also with Databricks experience You have a good knowledge of SQL databases, data pipelines, Data Warehouses You're collaborative and pragmatic with great communication and stakeholder management skills You have an interest in More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London – Cheapside (Hybrid – 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 – £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets More ❯

Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such as Databricks, SQL, and notebooks. Responsibilities: Support business users in transitioning to the Creative Track by providing training, onboarding, and hands-on assistance. Help users understand and navigate BDAP zones (e.g., curated … aligns with business needs. Act as a bridge between technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to More ❯

I am recruiting for a Palantir Data Scientist to work mostly remote with travel to Maidenhead 4-5 times a month. The role falls inside IR35 so you will be required to work through an umbrella company. You will design More ❯

of data and system integration projects across the business. The role will play a pivotal part in shaping the company’s data landscape, with a strong focus on Azure, Databricks, and enterprise-wide integrations . The successful candidate will collaborate with technology teams, business stakeholders, and external partners to ensure projects are delivered on time, within scope, and aligned with … strategic objectives. Key Responsibilities Leads end-to-end delivery of data projects, including platform builds, migrations, and integrations. Manages projects leveraging Azure and Databricks platforms, ensuring alignment with architectural standards and business goals. Coordinates system integration initiatives across CRM, ERP, marketing, and event management platforms. Works closely with business stakeholders to capture requirements and translate them into actionable project plans. … drive successful delivery. Ensures that data projects support compliance, scalability, and future growth. Skills & Experience Proven track record of delivering complex data or integration projects, ideally within Azure and Databricks environments. Strong understanding of system integration principles and data platform architecture. Experience working within structured project methodologies (Agile). Excellent stakeholder management skills, with the ability to influence at all More ❯