576 to 600 of 978 Databricks Jobs in the UK

as ongoing troubleshooting issues Technically the focus is SQL Server, TSQL, SSIS SSAS And for the Future, they are creating a new roadmap with new technologies including python and databricks in 2027 This is a new opportunity and will be shortlisting over the next week For more information and the chance to be considered, please do send through a CV More ❯

flows, lifecycle, and integration across platforms Experience Required Proven experience in designing modern data platforms Strong understanding of data governance, cataloguing, and data lifecycle Experience with cloud data platforms (Databricks or Snowflake) Familiarity with AI/ML driven data processing would be highly beneficial. This is a primarily remote role, requiring very infrequent travel across Europe to the client's More ❯

flows, lifecycle, and integration across platforms Experience Required Proven experience in designing modern data platforms Strong understanding of data governance, cataloguing, and data lifecycle Experience with cloud data platforms (Databricks or Snowflake) Familiarity with AI/ML driven data processing would be highly beneficial. This is a primarily remote role, requiring very infrequent travel across Europe to the client's More ❯

scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and More ❯

scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and More ❯

strategies that align client needs with long-term business goals. Proven track record of meeting sales targets and driving growth in client accounts. Preferred Qualifications Experience of working with Databricks or Snowflake, selling professional services. Previous experience in a client-facing or business development role within data, AI, or technology consulting. Experience managing complex sales processes and large accounts. Familiarity More ❯

prioritise and deliver value What We're Looking For 10+ years of Agile/Scrum delivery experience in banking or financial services Strong understanding of data platforms, ideally with Databricks, Data Lakehouse, or Medallion Architecture Experience working with Finance data/reporting in a corporate or investment banking context Excellent stakeholder management and communication skills Confident using JIRA and leading More ❯

prioritise and deliver value What We're Looking For 10+ years of Agile/Scrum delivery experience in banking or financial services Strong understanding of data platforms, ideally with Databricks, Data Lakehouse, or Medallion Architecture Experience working with Finance data/reporting in a corporate or investment banking context Excellent stakeholder management and communication skills Confident using JIRA and leading More ❯

Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You’ll Get £55k–£65k salary (with some flex for the right person) High visibility and autonomy More ❯

in a cross-functional environment. Experience leading and mentoring mixed-skilled teams of senior and junior developers. Working experience using modern data and analytics technologies sure as Azure/Databricks Advanced SQL, data warehouse design & modelling skills. Ability to interpret user requirements to design & build effective solutions. And in return, you'll get the best from us Annual bonus of More ❯

governance, and analytics. Extensive expertise in Power BI, including developing complex dashboards and reports. Strong understanding of Power BI governance practices. Proficiency with data platforms such as Synapse and Databricks (Desirable) Excellent problem-solving skills and strategic thinking. If you're passionate about creating best-in-class data platforms and transforming how organisations leverage data, we'd love to hear More ❯

Be Doing Own campaign strategy and execution across paid media, webinars, email nurture, SEO, and content syndication. Design and run ecosystem co-marketing campaigns with our technology (Microsoft, Snowflake, Databricks, etc.) and channel partners. Develop and optimise multi-channel lead journeys that drive measurable lift in MQL→SQL conversions. Build regional and global programs that scale pipeline coverage. Partner with More ❯

Oversee the delivery of business-as-usual (BAU) reporting, ensuring accuracy, timeliness, and stakeholder satisfaction. Drive efficiency through automation and process improvement using tools such as SQL, Python, and Databricks, with a focus on building scalable, future-proof systems. Collaborate with stakeholders to understand challenges and identify opportunities where data can deliver value. Design and implement data-driven solutions and More ❯

Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and More ❯

Reddit, and Lyft rely on Zip to manage billions of dollars in spend. We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Ramp, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology 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 ❯

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 ❯

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 ❯