101 to 125 of 390 Databricks Jobs

Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending on experience ...

Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending on experience ...

Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending on experience ...

platforms Familiar with Agile/Scrum methodologies Excellent communicator across technical and non-technical teams Analytical mindset with attention to detail; experience with Snowflake, Databricks, SQL, Python, Tableau, or Power BI is a plus This role offers a chance to make a meaningful impact within the business, if you would ...

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 ...

both technical and non-technical stakeholders Strong analytical mindset with attention to detail with exposure to modern data science platforms and tools (e.g. Snowflake, Databricks, cloud data warehouses, SQL, Python, Tableau, Power BI) Comfortable working in a fast-growing, scale-up environment Result-oriented with high commitment, resilience and professionalism ...

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 ...

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 ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable talking ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable talking ...

internal stakeholders Data Presales Architect What We’re Looking For 3+ years hands-on experience with Azure Data Services (Synapse, Data Factory, Data Lake, Databricks, Power BI, Cosmos DB) Strong understanding of data modernisation, migration, and analytics Knowledge of Azure governance, security, and best practices (CAF/WAF) Ability ...

Demonstrable ability to reconcile and integrate data from multiple disparate systems Deep familiarity with modern cloud data architectures and tooling (e.g. Azure Data Factory, Databricks, lakehouse and/or data warehouse patterns) Experience delivering large-scale, multi-division data initiatives within financial services Comfortable working directly with business stakeholders while ...

experience working with medium to large banking firms Knowledge of different financial products such as derivatives, repos, and bonds Technical functional knowledge of Databricks, SQL Server, PowerBI a plus but not required Fluent in Japanese Please email your resume or Use this link to apply directly: Or email: Check ...

skills in data engineering contexts. Experience building and maintain production data pipelines. Experience working with SQL and data-engineering environments such as Databricks or Spark. Ability to work closely with non-engineering stakeholders and translate business needs into data models. Desire to become an expert in all facets ...

analysis Counterfactual estimation Mathematical optimisation Scenario simulation Solid grounding in Bayesian methods and probabilistic programming. Hands-on experience with scikit-learn, PyMC, TensorFlow, PyTorch, Databricks ML, Keras, and ML at scale. Experienced Data Scientist, including leadership experience and demonstrable impact-ideally within a Net Revenue Management/Revenue Growth Management ...