51 to 75 of 329 Databricks Jobs in England

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

with cross-functional teams to communicate and contribute to impactful transformation initiatives. Comfortable working with complex datasets and enterprise-scale data environments Experience in databricks and snowflake is advantageous BPA (Bulk Purchase Annuities) knowledge is advantageous but not essential. This role required with an immediate start due to the urgency ...

certifications such as PMP, PRINCE2, or Agile (CSM, PSM, PSPO, SAFe) are highly desirable. Exposure to cloud-based data platforms (e.g. AWS, Azure, Snowflake, Databricks) and integration processes. Benefits and Perks Highly competitive salary that rewards high performers. Shareholding in Transform Together. Training opportunities and incentives, improving yourself through experience ...

Tableau and/or Power BI ; ability to design dashboards and narratives for business audiences. Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent). Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers. Ability ...

insights. Solid working knowledge of data integration and modelling, including writing SQL, working with relational databases, and connecting to data sources such as Databricks, data lakes, JSON files, and API-driven services. Experience working confidently across multiple, complex datasets, understanding data lineage, definitions, and limitations, and ensuring outputs are accurate ...

Skills Strong SQL skills and experience working with Azure‐hosted datasets Power BI reporting/dashboards creation Python experience Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial If this is a role that suits your skill set, you are immediately available and can work 3 days ...

Skills Strong SQL skills and experience working with Azure-hosted datasets Power BI reporting/dashboards creation Python experience Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial If this is a role that suits your skill set, you are immediatley available and can work 3 days ...

must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. ...

processes, and data modelling Experience delivering large-scale data transformation programmes Strategic mindset with strong commercial acumen Desirable : Experience with modern data stack technologies (Databricks, Snowflake, etc.) Knowledge of DataOps and MLOps practices Previous experience in consumer-facing industries If you are an experienced data engineering leader with FMCG sector ...

implementing data-intensive systems. Proficient in Java, Scala, or Python for software development. Experience with ETL/data-processing platforms (e.g., Informatica, Azure Databricks) and advanced SQL. Strong understanding of distributed data stores, frameworks, and data modelling for analytical and operational use cases. Ability to communicate complex technical designs clearly ...

ability to explain clearly to non-technical audiences DS background that has moved into AI engineering/LLM product delivery is ideal Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below. ...

ability to explain clearly to non-technical audiences DS background that has moved into AI engineering/LLM product delivery is ideal Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below. ...

understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ❄️ Experience with Snowflake 🧱 Experience with Databricks ⚙️ Exposure to ML pipelines, MLOps, or production ML systems If you’re excited about building AI systems, learning fast, and growing your career ...

with customer analytics (e.g. churn, CLTV, segmentation) - required Hands-on experience deploying ML models into production Exposure to cloud platforms (Azure and/or Databricks) and MLOps practices Excellent communication skills with the ability to influence non-technical stakeholders Comfortable working in fast-paced, cross-functional environments Nice to have ...

data-driven platform used by enterprise customers. You will set technical direction and guide architecture across distributed systems, large-scale data processing (Scala, Spark, Databricks), machine learning pipelines, and cloud-native infrastructure on AWS. A core focus is driving high-quality execution through strong engineering practices including CI/ ...

Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model monitoring deployment pipelines Exposure to tools such as Databricks MLflow feature stores Experience working in Agile product-led delivery environments Understanding of data governance ethics model explainability Relevant professional certifications relating to cloud data platforms ...

implementing data-intensive systems. Proficient in Java, Scala, or Python for software development. Experience with ETL/data-processing platforms (e.g., Informatica, Azure Databricks) and advanced SQL. Strong understanding of distributed data stores, frameworks, and data modelling for analytical and operational use cases. Ability to communicate complex technical designs clearly ...

experience: 4/5+ years of data engineering experience Strong Python and SQL skills —essential for pipeline development and data transformation. Experience with Databricks/Snowflake, and PySpark ideally A track record of taking ownership —whether it’s revamping a data warehouse, improving a data lake, or delivering visible business ...

startup environment where priorities evolve and things aren’t always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems ...

patterns, model lifecycle) Key details Central London Hybrid: 2–3 days/week in office Salary: £120,000–£140,000 base Stack: Python, SQL, Databricks, Azure Sponsorship: Not available Interested? Please apply below. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call ...

Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call ...