151 to 175 of 967 Permanent Databricks Jobs

CRM, Data & Analytics). Technology Leadership & Delivery Oversight Evaluate and select AI engineering frameworks (e.g., LangChain, AutoGen) and platform components within Azure (Azure OpenAI, Azure AI Studio/Foundry, Databricks). Lead architecture across the full delivery lifecycle, supporting engineering teams through build, deployment, testing and productionisation using AIOps and LLMOps best practices. Data, Integration & Readiness Partner with Data Engineering More ❯

is a plus. Excellent communication and stakeholder engagement skills. AWS Certified Solutions Architect and/or industry certifications such as TOGAF 9 or equivalent. Experience with data platforms like Databricks, Snowflake, Quantexa, Palantir or SAS. Exposure to AI/ML use cases and GenAI technologies. Background in Public Sector or other regulated industries Your Security Clearance To be successfully appointed More ❯

in MS Office, including proficiency with MS Excel Preferred Qualifications of a Principal Data Scientist Experience communicating and presenting complex technical concepts to non-technical audiences Experience with Azure Databricks & the Azure Ecosystem Experience working in industries such as Healthcare, Financial Services, Banking or Telco Soft Skill of a Principal Data Scientist Communication skills, able to work with stakeholders from More ❯

consumer facing platforms Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc.). Nice to have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we More ❯

Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum teams Curious, eager to learn, and mindful of More ❯

Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum teams Curious, eager to learn, and mindful of More ❯

Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum teams Curious, eager to learn, and mindful of More ❯

Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum teams Curious, eager to learn, and mindful of More ❯

data platforms, ingestion pipelines, or UI/UX troubleshooting is a plus Exposure to GenAI, AI/ML tools or platforms is a bonus Preferred Skills: SQL, Snowflake, Python, Databricks, Azure Palantir is a bonus More ❯

and help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading Azure-based data platforms Enjoy mentoring More ❯

and help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading Azure-based data platforms Enjoy mentoring More ❯

and help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading Azure-based data platforms Enjoy mentoring More ❯

and help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading Azure-based data platforms Enjoy mentoring More ❯

AWS cloud services, including Redshift and related tools - Exposure to containerisation and orchestration technologies (e.g. Kubernetes/K8s) - Understanding of AI, LLMs, and modern data processing approaches - Experience with DataBricks or a willingness to develop expertise in this area If you’d like more information on the assignment, please drop me an email Adam.Rees@IdentifySolutions.co.uk – or give me a call More ❯

AWS cloud services, including Redshift and related tools - Exposure to containerisation and orchestration technologies (e.g. Kubernetes/K8s) - Understanding of AI, LLMs, and modern data processing approaches - Experience with DataBricks or a willingness to develop expertise in this area If you’d like more information on the assignment, please drop me an email Adam.Rees@IdentifySolutions.co.uk – or give me a call More ❯

solutions. Support the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial services and/or More ❯

for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to More ❯

solutions. Support the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial services and/or More ❯

for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to More ❯

for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to More ❯

for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the ability to More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯