476 to 500 of 821 Databricks Jobs in the UK

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 ❯

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 ❯

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 ❯

hiring for Technical Data Architect location: Central London Type : Permanent Hybrid role (2-3 days from client location) We are seeking a highly skilled TechnicalData Architect- with expertise in Databricks, PySpark, and modern data engineering practices. The ideal candidate will lead the design, development, and optimization of scalable data pipelines, while ensuring data accuracy, consistency, and performance across the enterprise … consistency, row counts, and KPIs during migration and transformation. Collaborate with Data engineer , BI Engineers, and Security teams to define data standards, governance, and compliance. Optimize Spark jobs and Databricks clusters for performance and cost efficiency. Support real-time and batch data processing for downstream systems (e.g., BI tools, APIs, reporting consumers). Mentor junior engineers, conduct code reviews, and … engineering, cloud platforms, and analytics. ________________________________________ Required Skills & Qualifications 10-12 years of experience in data engineering, with at least 3+ years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms More ❯

testing frameworks integrated with CI/CD pipelines. Design and execute test cases across data ingestion, transformation, storage, and presentation layers. Validate data accuracy, performance, and usability within Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Power BI. Establish and monitor data quality checks, reconciliation, and compliance processes. Collaborate closely with data engineers, BI developers, architects, and product … owners to embed testing best practices across delivery. Essential Skills & Experience Proven experience as a Test Engineer within data engineering or analytics environments. Strong knowledge of Azure data services – Databricks, ADF, ADLS, Power BI. Proficiency in SQL and data profiling for test design and validation. Hands-on experience with test automation frameworks such as Python/PySpark, Great Expectations, Pytest More ❯

data-driven decision-making. Responsibilities for the Senior Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving … protection of customer data Continuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisation Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing … Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure , and data architecture design , looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior More ❯

and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high … role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. More ❯

routes to more than 32 countries, were the UKs largest airline, the fourth largest in Europe and the tenth largest in the world. With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use … through our solutions. Develop robust, scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing … of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez More ❯

and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high … role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of 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 ❯

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 ❯

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 ❯

Databricks & Microsoft Fabric Consultant We're seeking an experienced data consultant for a high-impact, short-term engagement with a leading organisation in a regulated industry. This strategic project involves conducting a comprehensive skills assessment for a large data We're looking for s proven professional who can dive deep into a bespoke, in-house data platform built on Databricks … and Microsoft Fabric, evaluate team capabilities, and craft a development strategy that aligns with business goals. Key Responsibilities: Assess the skills of a diverse data team working with Databricks and Microsoft Fabric. Conduct discovery conversations and surveys to uncover learning needs and aspirations. Analyse team interaction with a bespoke data platform to inform recommendations. Develop user personas to map current … a strategic, real-world training and development plan beyond generic certifications. Provide a Rough Order of Magnitude (ROM) cost for implementing the proposed roadmap. Essential Deep expertise in the Databricks Lakehouse Platform, including Python, PySpark, and advanced SQL. Strong practical knowledge of Microsoft Fabric. Proven experience in senior, client-facing roles with a consultancy mindset. Background in technical coaching, mentorship More ❯

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process 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 ❯

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 ❯

Senior Data Engineer in Databricks - Lead the Future of Data in Financial Services Location: Hybrid | 2-3 days/week on site Offices: Banbury, Milton Keynes, Bedford, Northampton, Manchester 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 … 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 ❯

Senior Data Engineer in Databricks - Lead the Future of Data in Financial Services Location: Hybrid | 2-3 days/week on site Offices: Banbury, Milton Keynes, Bedford, Northampton, Manchester 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 … 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 ❯

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. … You'll be primarily working with advanced SQL with Databricks in Azure including data modelling and low level data design work. As a senior member of the team you'll also contribute to technical discussions, strategic decision making and help to mentor more mid-level data engineers. Location/WFH: There's a remote interview and onboarding process and you … from most of the time, meeting up with the team for constructive meetings once a month/quarter in the Nottingham office. About you: You have advanced SQL and Databricks experience You have experience in cloud based environments, Azure preferred You have strong analysis and problem solving skills You have experience of working in Agile development environments You're collaborative More ❯

Date: ASAP Interview Process: One stage Core Skills Required Strong expertise in Power BI – dashboarding, reporting, and data visualisation Advanced SQL skills for querying and data manipulation Experience with Databricks for scalable data processing Desirable Skills Familiarity with PySpark for distributed data processing More ❯

principles of Event Driven Micro Services Architecture. Required skills Python AWS - SNS/SQS Lambda Step Functions ECS Spinnaker Kubernetes Kafka Terraform ORM frameworks Nice to have Pyspark and Databricks experience is a plus. Knowledge and experience in the JPM morgan ecosystem/tools will carry higher value. More ❯

of the data architecture function. YOUR SKILLS AND EXPERIENCE: A successful Data Architect will have the following: Strong SQL and Azure experience. Background in Online, eCommerce, or Digital environments Databricks experience (desirable). Confident working autonomously within a lean data team. Experience handling large-scale customer data environments. Exposure to On-Prem → Cloud migrations (advantageous). THE BENEFITS: You will More ❯