51 to 75 of 305 Databricks Jobs in the UK

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 ...

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/ ...

highly regulated environments. Good knowledge of cloud ecosystems such as Azure , AWS , or GCP . Active SC Clearance . Desirable DV Clearance Experience with Databricks, Spark, or broader data platform tooling CICD experience with Terraform, GitHub Actions, Azure DevOps, or similar Strong stakeholder engagement and technical leadership skills What ...

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 ...

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 ...

products. Competent in applying statistical and analytical techniques to answer research questions and support recommendations. Skilled in developing code for ad hoc analysis (Excel, Databricks, SQL, Python). Ability to translate between technical and non-technical stakeholders. Knowledge of testing techniques to ensure requirements are fully met. Understanding of data ...

Kubernetes is a plus. Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus. Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing ...

Kubernetes is a plus. Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus. Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing ...

data warehousing concepts (star schemas, snowflake, slowly changing dimensions, partitioning, clustering). Experience working in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.) Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts. Familiarity with BI tools (we use Thoughtspot and Power BI). Proficient ...

data pipelines across cloud and on-premise source systems. Delivering reliable data ingestion, transformation, and delivery processes using technologies such as Azure Data Factory, Databricks, SSIS, and SQL . Reducing manual interventions through automation and standardisation , including data preparation, feature engineering, and training-data pipelines. Preparing data models and datasets … Python or R for data processing or analytics. Hands-on experience with data integration and ingestion tools such as Azure Data Factory and Databricks . Proven experience in data modelling , data warehousing, and relational database platforms (e.g. MS SQL Server). Experience designing cloud-native and/or on-prem ...

documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Databricks Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands-on role with ...

trusted advisor to senior stakeholders Essential Skills & Experience Strong background in Data Architecture and Cloud Data Platforms Hands-on experience with Snowflake, Azure, Databricks and/or Microsoft Fabric Data integration, ETL/ELT, APIs, streaming technologies Data modelling (relational, dimensional, NoSQL) Data governance, security, GDPR and compliance frameworks Experience ...

problem-solving skills, a proactive mindset, and a solid understanding of Agile and Waterfall methodologies. You should be confident working with platforms like Azure, Databricks, and Power BI, and have foundational knowledge of data warehousing and modelling. Certifications such as PMI Agile Fundamentals, BCS Scrum, PRINCE2, or APM are highly ...

data team and play a key role in transforming data into meaningful business insight. The role Design, implement, and govern robust data models within Databricks Data Catalogues , leveraging Medallion Architecture for high-quality, analytics-ready data Develop and maintain engaging, high-performance Power BI dashboards that translate complex data into ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

strategies, solution proposals, pricing, and bid responses. Hands-On Expertise: Provide technical guidance on Azure components such as Synapse Analytics, Data Factory, Data Lake, Databricks, Purview, Azure SQL, and Storage. What We're Looking For We're seeking someone who combines deep technical capability with strong consulting and leadership skills. ...

consistently understood Contribute to the design and continuous improvement of data products and dashboards Develop analytical solutions using tools such as SQL, Power BI, Databricks Skills & Experience: Strong SQL, Power BI and financial data modelling Experience working with enterprise data models, semantic layers, or governned data domains Proven experience partnering ...

Data, Analytics, Cloud, or Digital services. Experience selling consulting or managed services. Understanding of data engineering, analytics and cloud data platforms (e.g., Snowflake, Databricks, Azure, AWS). Strong communication and stakeholder management skills. What is on Offer Competitive salary depending on experience of up to £100,000 Performance related commission ...

Experience: 10+ years' experience in data, analytics, or data engineering roles Broad exposure to modern data engineering tools and architectures (eg Azure Data Factory, Databricks, lakehouse or data warehousing patterns) Background in wealth management, asset management, or broader financial services Proven delivery of enterprise-scale data initiatives across multiple business ...

3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices ...

across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more ...