101 to 125 of 711 Databricks Jobs

data pipelines and warehouses, ensuring reliability, scalability, and top-tier data quality. The position involves hands-on work with technologies such as Azure, SQL/T-SQL, SSIS, and Databricks, alongside exposure to data modeling, integration, and DevOps processes. You'll collaborate closely with analytics, IT, and security teams to deliver secure, high-performing data environments and support advanced business More ❯

The Data Engineer will demonstrated experience as a Data Engineer, with a strong track record of success. Mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention More ❯

and Copilot Studio. Exposure to AI technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven success in a technical/functional Pre-sales role within a consulting environment. The Person: Strong commercial skills. Experience in delivering More ❯

and Copilot Studio. Exposure to AI technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven success in a technical/functional Pre-sales role within a consulting environment. The Person: Strong commercial skills. Experience in delivering More ❯

Required Skills & Qualifications: Demonstrable experience in building data pipelines using Spark or Pandas. Experience with major cloud providers (AWS, Azure, or Google). Familiarity with big data platforms (EMR, Databricks, or DataProc). Knowledge of data platforms such as Data Lakes, Data Warehouses, or Data Meshes. Drive for self-improvement and eagerness to learn new programming languages. Ability to solve More ❯

Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring live services using tools such as Grafana, Prometheus More ❯

Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring live services using tools such as Grafana, Prometheus More ❯

Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring live services using tools such as Grafana, Prometheus More ❯

in SQL and Python . Strong grasp of ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven More ❯

scikit-learn, pandas, seaborn, and matplotlib. Significant experience writing and optimising complex SQL queries for data retrieval and manipulation in large-scale databases. Strong experience of Azure Data Stack (Databricks/Data Factory) Desirable Experience Exceptional ability to communicate complex insights effectively to stakeholders at all levels. A strong portfolio of Data Science projects demonstrating the ability to solve complex More ❯

of proficient experience with Python, strong experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with distributed training and optimization on GPUs (CUDA, RAPIDS) Familiarity with data pipelines (Spark, Databricks, Kafka) Hands-on experience with CI/CD for ML workflows and container orchestration (Docker, Kubernetes) Strong knowledge of algorithms, data structures, and ML system design Practical experience deploying on More ❯

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 ❯

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 ❯

effectively with stakeholders, ensuring clear communication throughout project lifecycles. Skills, Experience, and Abilities Required: Essential: Expert-level experience with Azure Data Factory (ADF) Hands-on experience with Snowflake and Databricks Proficiency in Python programming Strong Azure and SQL knowledge Excellent debugging and troubleshooting abilities Good communication skills Desirable: 6 to 8 years of relevant experience in data engineering or related 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 ❯

validation routines , including monitoring, alerting, and automated checks. Optimise data workflows for performance, cost-efficiency, and maintainability , using platforms such as Azure Data Factory, AWS Data Pipeline, Glue, Lambda, Databricks, and Apache Spark. Support the integration of transformed data into visualisation and analytical platforms , including Power BI, ServiceNow, and Amazon QuickSight. Ensure compliance with data governance, security, and privacy standards 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 ❯

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 ❯