51 to 75 of 98 Databricks Jobs in Slough

background in RPA and process automation tools (e.g., ScriptRunner). Experience managing cloud environments and service providers (AWS, Azure), as well as BI and data platforms (e.g., Tableau, Cognos, Databricks). Familiarity with enterprise collaboration platforms (Slack, Teams, Google Workspace). Demonstrated ability to lead cross-functional and geographically distributed teams effectively. More ❯

Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to deliver high-quality, scalable, and secure software solutions. This is an excellent opportunity for someone to lead and shape the engineering 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 ❯

Senior Databricks Data Engineer 2-3 days on-site - central London up to £75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every … area of the business — from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks and Medallion Architecture (Bronze–Silver–Gold) to design, build, and optimize our next-generation data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and … business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and More ❯

and optimise ETL/ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or similar environments. Support internal projects focused on capability development, data tooling, and process improvement. Engage in stakeholder discussions to influence technical direction and project outcomes. What You … years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and … Desirable: Consulting experience or client-facing delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per week More ❯

what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality … tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead More ❯

Mid & Senior Data Engineers (Databricks) | London | up to £85k + Bonus Multiple roles Are you a Databricks expert ready to make a real impact? Join our high-growth consultancy and help shape the future of data platforms for some of the UK’s most asset-intensive industries. 📍 Location: London (Hybrid – 2 days/week onsite) 📄 Role Type: Permanent 💼 Reporting to … based on performance & commercial impact) 🔍 What’s the Opportunity? We’re on the lookout for a Mid/Senior Data Engineer to take a leading role in our expanding Databricks practice . With two senior team members moving on and demand growing fast, this is your chance to step into a high-impact, client-facing role where your work will … technical excellence, and clear communication. We don’t just build data platforms—we solve real business problems. 🛠️ What You’ll Be Doing Designing and building scalable data pipelines using Databricks and medallion architecture Leveraging Delta Live Tables (DLT) for streamlined transformations Migrating and optimizing legacy pipelines Preparing datasets for Power BI and other analytics tools Implementing Unity Catalog for governance More ❯

platform from the ground up. - Hands-on coding appetite - this isn't a pure management role - Team leadership experience - comfortable managing and mentoring engineers - Advanced skills: SQL, Python, PySpark, Databricks, Azure stack - Enjoys building from scratch - thrives in low-maturity, high-potential environments. If this role sounds appealing to you apply now to learn more about the client DVF are More ❯

technical and product conversations Commercial awareness with an understanding of monetisation and ROI of insights Curious, proactive, and able to propose new angles or untapped opportunities Nice-to-have: Databricks experience, familiarity with Cosmos DB, Power BI for ad-hoc visualisation Sound like the role for you? Feel free to apply and I will be sure to be in touch More ❯

Work with our core technology stack, including Python , Linux (via WSL) , PostgreSQL , SQL Server , Databricks , and leverage both Azure and AWS cloud platforms. Design and implement advanced solutions for data ingestion , transformation , and large-scale orchestration of network I/O. Manage Infrastructure as Code and collaborate with infrastructure teams to deliver new features for CFC’s Engineering Platform. Model More ❯

global logistics business, based in central London, is undergoing an exciting data transformation programme as it invests in a new team charged with building and implementing a new Azure Databricks platform. Working five days a week in the central London office, you'll join this growing team and play a key role in building and deploying modern Azure Databricks based … have the opportunity build your skills in analytics engineering, responding to business and project needs rather than operating as a narrow silo. You'll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design scalable data pipelines, implement efficient data models, and ensure high-quality data delivery. This is a fantastic opportunity to join … focused on building solutions for the business. In addition, you'll be responsible for the following: Designing, developing, and optimizing end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implementing Medallion Architecture and building scalable ETL/ELT processes with Azure Data Factory and PySpark. Partner with the data architecture function to support data governance More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for someone who thrives … in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. … Required Skills Strong experience with Azure data services (Data Factory, Synapse, Blob Storage, etc.). Proficiency in SQL for data manipulation, transformation, and performance optimisation. Hands-on experience with Databricks (Spark, Delta Lake, notebooks). Solid understanding of data architecture principles and cloud-native design. Experience working in consultancy or client-facing roles is highly desirable. Familiarity with CI/ More ❯

years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and … experience Hands-on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management More ❯

industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are … and cost efficiency across Snowflake accounts Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI) Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of More ❯

Role: Principal Data Engineer (Databricks) Industry: Commodities Location: London (hybrid, 3 days per week) Rate: £800-900/d (inside IR35) Contract: 6 months rolling (multi-year scope) X4 Technology are partnered with a global commodity trading firm in central London to hire a contract Principal Data Engineer (Databricks). You'll take a lead role in a flagship transformation … programme that places Databricks at the centre of how trading data is standardised, governed and used to drive sharper commercial decisions globally. Responsibilities of the Principal Data Engineer (Databricks) Design and architect end-to-end data platforms and modernised data environments Lead the shift toward data-driven thinking across both IT and business stakeholders Drive adoption of Databricks and modern … processes Champion best practices, community development (CoE/CoP), and continuous improvement Act as a visible thought leader - delivering technical guidance and mentorship Requirements for the Principal Data Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB More ❯

To be considered for this role you must have experience in: Domain knowledge – understanding of the insurance sector Data literate - experience with SQL is a must and AD or Databricks exposure would be desirable. BI experience – familiarity with tools such as Qlik, Power BI, Tableau, Looker, etc. Role is paying £40-55,000 + benefits and will require 3 days More ❯

of a new General Ledger system to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role, on a greenfield programme. A brilliant opportunity! The following More ❯

the delivery of strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is More ❯

and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data. Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies. Working on-site in Paddington 3–4 days per week with a collaborative cross-functional team. What we’re looking for 4+ years … experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong communicator comfortable working with product, clinical, and data science teams. … first data platform . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. 📍 Location: Paddington, London 💻 Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. Data Governance & Quality Define and enforce … is highly desirable. Required Skills Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. More ❯

/AI capabilities. This is a long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate More ❯

leading and global engineering firm, in the depths of a massive data transformation. They’re looking for an experienced and business facing engineer with a background in Azure and Databricks, to come in as a tech lead and play a key role in scaling their data platform and architecture - overseeing the end-to-end delivery of dashboards and data products More ❯

ll bridge the gap between business needs and data engineering, shaping how group-level reporting comes to life. Expect to: Collaborate with PMs, architects, and data engineers (Power BI & Databricks stack) Translate complex data and business logic into clear, actionable user stories Design and validate visual concepts that help senior stakeholders see the bigger picture Bring structure, speed and quality More ❯

Databricks Data Engineer £500 - £600 per day Outside IR35 We're partnering with a leading online retail company that's transforming the way data and real-time intelligence shape customer experiences. Their mission is to harness cutting-edge data and streaming technologies to drive smarter decisions, improve efficiency, and create personalised journeys for millions of shoppers worldwide. The Role As … and testing principles. Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and … and scale production-grade data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with More ❯

We find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The role: Are you More ❯