251 to 275 of 552 Databricks Jobs in England

order to be considered for this role you will need to have - • Experience with data management and data architectures (SQL/NoSQL), database systems, modern data warehouse platforms (Snowflake, Databricks, BigQuery), ETL/ELT pipeline development, and data lake/warehouse implementations for integrating structured and unstructured laboratory and sequencing data sources. • Master Full-Stack technologies, such as Python, JavaScript More ❯

Proven success in delivering data, BI, and app development projects. Strong experience with Agile, Prince2, and enterprise delivery models. Skilled in Microsoft technologies: Power BI, Power Apps, Power Pages, Databricks, Azure. Experience with both in-house and outsourced development teams. Relevant certifications (Agile PM, Prince2, etc.). Benefits: 95,000 base salary Discretionary annual bonus 8% company pension contribution More ❯

Proven success in delivering data, BI, and app development projects. Strong experience with Agile, Prince2, and enterprise delivery models. Skilled in Microsoft technologies: Power BI, Power Apps, Power Pages, Databricks, Azure. Experience with both in-house and outsourced development teams. Relevant certifications (Agile PM, Prince2, etc.). Benefits: £95,000 base salary Discretionary annual bonus 8% company pension contribution More ❯

with organisational goals. Requirements: Proven experience as a Data Architect, ideally in a law or professional services firm. Strong background in Azure data services (Synapse, Data Lake, Data Factory, Databricks, Purview, etc.). Expertise in data modelling, data warehousing, and data lakehouse design. Knowledge of data privacy regulations (e.g., GDPR). TOGAF certification is advantageous. If you’re a strategic More ❯

for front office reporting. What you'll need to succeed Strong business intelligence/data analysis/engineering experience with strong Power BI expertise. Experience building production pipelines - with Databricks Data Business experience working around Trading data/Risk is a must! Understanding of regulatory reporting processes. Financial product knowledge e.g. - equities, fixed income, derivatives. Experience on Azure cloud platforms. More ❯

segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience More ❯

segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience More ❯

segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience More ❯

chance to be involved in all aspects of the project process from conception through to completion and launch. Python Developer Experience: Python, including APIs, data structures, and async processing Databricks/Microsoft Fabric Cloud, preferably Azure (Data Lake, Functions, App Services) Containerisation with Docker and CI/CD pipelines MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests More ❯

chance to be involved in all aspects of the project process from conception through to completion and launch. Python Developer Experience: * Python, including APIs, data structures, and async processing * Databricks/Microsoft Fabric * Cloud, preferably Azure (Data Lake, Functions, App Services) * Containerisation with Docker and CI/CD pipelines * MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests More ❯

Representing the business at client meetings, industry events, and marketing initiatives. What You'll Need to Succeed: Strong expertise in cloud analytics, data warehousing, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders. Consulting experience, with a track record of delivering successful, high-impact data projects. Leadership and team More ❯

the chance to be involved in all aspects of the project process from conception through to completion and launch.Python Developer Experience:* Python, including APIs, data structures, and async processing* Databricks/Microsoft Fabric* Cloud, preferably Azure (Data Lake, Functions, App Services)* Containerisation with Docker and CI/CD pipelines* MLOps tooling (MLFlow, Git-based versioning, environment tracking)Desirable Skills & Interests More ❯

and BI focused projects in Agile environments Strong enterprise delivery background with methodologies such as Prince 2 Ability to manage multiple projects Familiarity with Microsoft technologies including Power BI, Databricks and the Azure tech stack This is a hybrid role based in central London where you will work collaboratively alongside other members of the IT function 3 days per week More ❯

and BI focused projects in Agile environments Strong enterprise delivery background with methodologies such as Prince 2 Ability to manage multiple projects Familiarity with Microsoft technologies including Power BI, Databricks and the Azure tech stack This is a hybrid role based in central London where you will work collaboratively alongside other members of the IT function 3 days per week More ❯

level Management of Data Engineers at a variety of levels. Demonstrable experience of setting out and implementing a data strategy across the organization. Technical proficiency with the likes of Databricks, Python, AWS, Azure & more. Outstanding communication skills and stakeholder management stories. And for the most part with this Head of Data Engineering position, that is it so apply now to More ❯

Solid understanding of cloud networking, security, and cross-cloud connectivity Experience in monitoring, observability, and cost optimisation Nice to Have Experience with ML tooling (MLflow, Kubeflow) Knowledge of FastAPI , Databricks, or Snowflake Exposure to SRE practices or cloud security certifications Familiarity with Prometheus , Grafana , or Datadog Interested? If you want to be part of a world-class AI team at More ❯

Ensure solutions meet governance, compliance, and security standards. Skills & Experience: Proven experience as a Data Solution Architect or similar senior-level data architecture role. Strong knowledge of Kafka, Confluent, Databricks, Unity Catalog, and cloud-native architecture. Skilled in Data Mesh, Data Fabric, and product-led data strategy design. Experience with big data tools (e.g., Spark), ETL/ELT, SQL/ More ❯

background and a knack for translating data into actionable insights. - Hands-on experience with Adobe Analytics, SQL and Power BI. - Ability to communicate findings clearly to stakeholders. - Experience with Databricks and Snowplow is preferred but not essential. What you'll get in return This is a 6-month contract offering the opportunity to make a tangible impact in a high More ❯

Establishing thought leadership , writing blogs, publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client management experience , with a track record More ❯

ownership of enterprise-scale architectures. Deep expertise in data modelling (3NF, Kimball, Data Vaults) and metadata-driven design . Hands-on experience with modern data platforms, particularly Azure services : Databricks, Data Factory, Azure SQL, Cosmos DB, and more. Strong background in data lakes, warehouses, and lakehouses including design, implementation, and optimisation. Whats on Offer: 100,000 salary per annum More ❯

models for digital media and marketing domains. Translate media buying and activation workflows into structured data assets. Collaborate with data engineers to implement models in cloud platforms (e.g., Azure, Databricks). Domain Expertise Understand and model data from platforms such as DV360, Meta, Amazon DSP, TikTok, IAS, Innovid, and others. Integrate campaign metadata, audience segments, impressions, clicks, conversions, and spend More ❯

communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts More ❯

communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts More ❯

forecasting and analytics frameworks across the business What You'll Need Excellent Python programming skills Experience with time series data, forecasting, and machine learning (e.g. Redis cache, AWS S3, Databricks, Grafana) Exposure to the German or European electricity market (e.g. EPEX Spot, Redispatch, TSOs) Experience building data pipelines and automating data workflows Ability to clearly communicate modelling approaches, including assumptions More ❯

delegating where necessary. Collaborating with the central data team to clearly communicate requirements and explain the business rationale for integrating and ingesting data into the centrally managed Data Platform (Databricks). Taking ownership and maintaining high standards of data quality and integrity across all data sets. Drive innovation, change, and the adoption of pioneering technologies to business users. Requirements of More ❯