451 to 475 of 494 Databricks Jobs in England

teams understand where new technology could pragmatically deliver value . Manage and monitor the cost, efficiency, and speed of data processing. Our Data Tech Stack Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage) ETL/ELT (Python, Spark, SQL) Messaging (Service Bus, Event Hub) DevOps (Azure DevOps, Github Actions, Terraform) Who you are A driven, ambitious individual who’s … in ELT and ETL processes and tools Ability to write efficient code for data extraction, transformation, and loading (eg. Python, Spark and SQL) Proficiency with cloud platforms (particularly Azure Databricks and SQL Server) Ability to work independently Ability to communicate complex technical concepts clearly to both technical and non-technical audiences Desirable skills NoSQL databases (eg. Cosmos DB, DynamoDB, MongoDB More ❯

Data Engineer with expertise in Azure, SQL and Databricks required by my global client. Due to continued increase in workload my client is looking for an experienced Data Engineer to join the team. You need to have a minimum of 5 years experience as a Data Engineer with at least 3 years hands experience of Databricks. This will be a More ❯

Here's what you'll be doing: Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies More ❯

role involves working closely with engineers, architects, and stakeholders while remaining hands-on enough to prototype and solve complex technical challenges. Core Responsibilities Design and implement secure, high-performance Databricks environments including cluster setup, governance, and tuning Define and own the technical roadmap for the organisation's data platform Ensure systems meet standards for performance, security, maintainability, and reliability Drive … and knowledge transfer across teams Stay current with modern best practices in data engineering and architecture What They're Looking For Proven experience designing large-scale data platforms and Databricks infrastructure Strong understanding of Databricks internals, including cost and performance optimisation Advanced Python skills and software development best practices (e.g. testing, abstraction, modularity) Familiarity with modern data architecture (e.g. Lakehouse More ❯

workstreams towards a scalable, reliable, and high-quality data platform Strong knowledge of data compliance frameworks Proven experience migrating from legacy SQL-based systems to modern technologies like PySpark, Databricks, Terraform, and Pandas Hands-on ability to analyse and understand complex data sets Ideally, experience with multi-cloud environments (Databricks on Azure and AWS) A product-minded leader focused on More ❯

and managing modern data pipelines and cloud-based data solutions. What you'll be doing: Designing and maintaining scalable data pipelines Building and optimising data warehousing solutions Working with Databricks and modern cloud platforms (Azure or AWS) Collaborating with cross-functional teams to deliver high-impact data products Leading best practices in data engineering and pipeline architecture What we're … looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

You'll Be Doing Designing and executing a company-wide data strategy aligned with growth and modernization goals Leading the consolidation and optimization of enterprise data platforms (e.g., Snowflake, Databricks, SQL Server) Overseeing data governance and stewardship frameworks to ensure quality, security, and compliance Building and leading a cross-functional team spanning engineering, BI, governance, and architecture Replacing legacy analytics … You'll Need to be Considered Experience consolidating and modernizing enterprise data environments 15+ years of experience in data analytics leadership roles Familiarity with cloud-based tools like Snowflake, Databricks, and FiveTran and legacy systems Strong communication skills with the ability to influence at all levels Proven leadership within matrixed or multi-departmental teams Background in change management and organizational More ❯

insight on AE performance This role requires Experience in the following Languages: SQL (Advanced) Jinja (Advanced) Experience with the following tools: dbt Core Git A Cloud warehouse provider e.g. Databricks, GCP, Snowflake The following would be nice to have Experience in the following Languages: Python Experience with the following tools: Github Lightdash Elementary CircleCI Databricks Airflow Kubernetes DuckDB Spark Data More ❯

technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership … technical consulting experience. OR equivalent experience. Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements More ❯

Experience in Cloud Data Pipelines Building cloud data pipelines involves using Azure native programming techniques such as PySpark or Scala and Databricks. These pipelines are essential for tasks like sourcing, enriching, and maintaining structured and unstructured data sets for analysis More ❯

Excellent communication skills across technical and non-technical stakeholders Experience designing systems in modern cloud environments (e.g. AWS, GCP) Technologies and Tools Python ML and MLOps tooling (e.g. SageMaker, Databricks, TFServing, MLflow) Common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) Shell scripting and related developer tooling CI/CD tools More ❯

daily by home builders, mortgage brokers, local councils, and more to make informed property purchasing decisions. We've migrated key legacy SQL Server/SSIS pipelines to PySpark and Databricks, and we're in the home stretch of our modernisation programme. Now we're looking to unlock the power of our disparate data, and make it accessible and reusable across … to high standards of compliance (inc ISO-27001, GDPR), Data Governance, and Information Security Experienced in migrating from SQL based data architectures to modern Data Engineering technologies, using PySpark, Databricks, Terraform, and Pandas Someone able to explore, analyse and understand our data and its uses Ideally experienced in a multi-cloud environment (Databricks across Azure and AWS) solving networking, security More ❯

used daily by home builders, mortgage brokers, local councils, and more to make informed property purchasing decisions. Weve migrated key legacy SQL Server/SSIS pipelines to PySpark and Databricks, and were in the home stretch of our modernisation programme. Now were looking to unlock the power of our disparate data, and make it accessible and reusable across our teams … to high standards of compliance (inc ISO-27001, GDPR), Data Governance, and Information Security Experienced in migrating from SQL based data architectures to modern Data Engineering technologies, using PySpark, Databricks, Terraform, and Pandas Someone able to explore, analyse and understand our data and its uses Ideally experienced in a multi-cloud environment (Databricks across Azure and AWS) solving networking, security More ❯

you'll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines. Lead hands-on development work using Azure, Databricks, and Terraform (IaC) Support the migration from legacy platforms to a more modern cloud stack Act as a mentor and technical guide to the wider engineering team Implement data governance … close to the ML lifecycle YOUR SKILLS AND EXPERIENCE: A successful Principal Data Engineer will have the following skills and experience: Strong hands-on experience with Azure Proficient in Databricks Skilled in Terraform and Infrastructure as Code practices Exposure to containers/Kubernetes Awareness of ML Ops concepts THE BENEFITS: You will receive a salary, dependent on experience. Salary is More ❯

week horizon, daily, by product group and warehouse zone Solution should be robust, scalable, and production-grade Key Responsibilities Design and deploy a time series forecasting system using Databricks on Azure , with data in Snowflake Translate logistics needs into data science solutions Collaborate with other data scientists and dashboard developers Incorporate monitoring, error handling, and environment separation (dev/test …/prod) Deliver clean code with CI/CD pipelines and production-readiness Technical Skills Required: Strong Python (in a production environment) Experience with Databricks, Azure, Snowflake Time series forecasting, ideally in operations or logistics Understanding of software engineering best practices (e.g. modularity, testing, version control) Desirable: PyTorch (for neural forecasting models) Experience with Spark, Azure DevOps, CI/CD More ❯

focuss on API Implementation to join a well established team which is growing. The role will involve developing analytics solutions using leading tech stacks and cloud technologies (Azure, Snowflake, Databricks and Python). The Role Develop and maintain an API strategy aligned with business objectives, enhancing current systems and integrating third-party APIs. Design and develop API architectures, set standards … experience, with Azure Functions knowledge as a plus. Demonstrated experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. More ❯

focuss on API Implementation to join a well established team which is growing. The role will involve developing analytics solutions using leading tech stacks and cloud technologies (Azure, Snowflake, Databricks and Python). The Role Develop and maintain an API strategy aligned with business objectives, enhancing current systems and integrating third-party APIs. Design and develop API architectures, set standards … experience, with Azure Functions knowledge as a plus. Demonstrated experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. More ❯

to shape the future of logistics. You must have management/leadership experience to be considered for this role. What You'll Do: Lead the technical direction of our Databricks Common Data Platform Drive hands-on development with high-quality Python and SQL code Mentor and coach a distributed team of data engineers Champion CI/CD and automated testing … Work closely with the Head of Data Engineering to align with strategic goals Must-Have Experience: 8+ years in data engineering, including leadership experience Expert-level knowledge of the Databricks platform Advanced Python development for logistics and delivery optimisation Mastery of SQL for large-scale, nationwide operations Strong understanding of data modelling for parcel tracking systems Experience with both streaming More ❯

to shape the future of logistics. You must have management/leadership experience to be considered for this role. What You'll Do: Lead the technical direction of our Databricks Common Data Platform Drive hands-on development with high-quality Python and SQL code Mentor and coach a distributed team of data engineers Champion CI/CD and automated testing … Work closely with the Head of Data Engineering to align with strategic goals Must-Have Experience: 8+ years in data engineering, including leadership experience Expert-level knowledge of the Databricks platform Advanced Python development for logistics and delivery optimisation Mastery of SQL for large-scale, nationwide operations Strong understanding of data modelling for parcel tracking systems Experience with both streaming More ❯

to shape the future of logistics. You must have management/leadership experience to be considered for this role. What You'll Do: Lead the technical direction of our Databricks Common Data Platform Drive hands-on development with high-quality Python and SQL code Mentor and coach a distributed team of data engineers Champion CI/CD and automated testing … Work closely with the Head of Data Engineering to align with strategic goals Must-Have Experience: 8+ years in data engineering, including leadership experience Expert-level knowledge of the Databricks platform Advanced Python development for logistics and delivery optimisation Mastery of SQL for large-scale, nationwide operations Strong understanding of data modelling for parcel tracking systems Experience with both streaming More ❯

to shape the future of logistics. You must have management/leadership experience to be considered for this role. What You'll Do: Lead the technical direction of our Databricks Common Data Platform Drive hands-on development with high-quality Python and SQL code Mentor and coach a distributed team of data engineers Champion CI/CD and automated testing … Work closely with the Head of Data Engineering to align with strategic goals Must-Have Experience: 8+ years in data engineering, including leadership experience Expert-level knowledge of the Databricks platform Advanced Python development for logistics and delivery optimisation Mastery of SQL for large-scale, nationwide operations Strong understanding of data modelling for parcel tracking systems Experience with both streaming More ❯

ll head up a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day using SQL and Databricks in Azure. You'll help the team to scale-up with data engineering best practices and processes at the core. You will be key in developing others to succeed and … achieving data engineering teams You have experience of establishing data engineering best practices and inclusive cultures You have a technical background, with a strong understanding of Data Warehouses, SQL; Databricks and Azure experience is also desirable although this is a hands-off role a technical understanding is required You enjoy developing others and helping them to improve and succeed You More ❯

to enhance our analytics platforms, drive adoption, and create significant business impact. In this role, you'll be the Product leader focused on our core analytics platform components, including Databricks, SQL Engines and other modern data technologies. You will ensure our analytics platform provides robust, reliable, and scalable capabilities that enable internal stakeholders and external users to ef ficiently access … Will Support the vision and strategic direction for our analytics platform, aligning closely with overall business and technology objectives . Develop a clear roadmap for your products focusing on Databricks, SQL engines, and associated analytics tooling, ensuring scalability, performance, and usability. Work closely with engineering and data teams to design, prioritize, and deliver platform enhancements that improve data accessibility, query … product management experience, including at least 3 years focused specifically on data, analytics platforms, or related technical products. You are deeply familiar with modern analytics technologies, especially SQL engines, Databricks, and tools such as Starburst, Airflow, Looker, or equivalent. You understand how generative AI experiences can be leveraged in analytics platforms. You have a proven track record of delivering analytics More ❯

CEO, product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery and others to drive ekai's platform adoption through key partnerships, monetization activities and getting us to the inflection point. Key Responsibilities Growth Strategy & Execution Lead ekai commercialization efforts. … startups; experience at the pre-seed/seed stage is a strong plus. Domain Knowledge: Deep understanding of data engineering, BI, analytics, or cloud data platforms (e.g., Snowflake, BigQuery, Databricks). Track Record: Demonstrated success in building and scaling go-to-market functions from scratch. Leadership: Proven ability to recruit, inspire, and lead cross-functional teams in a fast-paced More ❯

using geospatial tools such as ESRI tools and platforms, to support analysis or visualization Experience with PAI Experience in Python or Java, and using tools such as Spark or Databricks, to support large-scale data processing, analysis, and visualization Experience with machine learning, automation, and artifi cia l intelligence techniques applied to data analysis Experience working with the national intelligence … using geospatial tools such as ESRI tools and platforms, to support analysis or visualization Experience with PAI Experience in Python or Java, and using tools such as Spark or Databricks, to support large-scale data processing, analysis, and visualization Experience with machine learning, automation, and artifi cia l intelligence techniques applied to data analysis Experience working with the national intelligence More ❯