51 to 75 of 324 Permanent Databricks Jobs

Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues ...

learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. ...

extraction and analysis. * Approximately 5 years of hands on experience in data science or a closely related field. Nice to Have Skills * Experience with Databricks for data engineering or ML workflows. * Familiarity with Azure ML, MLflow, or similar MLOps tooling. * Exposure to feature engineering best practices and model lifecycle management. ...

enabling colleagues. Skills and Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud ...

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. ...

jaar ervaring als Data Engineer op de Microsoft BI-stack (Visual Studio, SSIS, SSAS, SSMS, SSRS, Power BI, SQL Server, ). Ervaring met Azure Databricks en Python is een troef. Je hebt bovendien een ruime ervaring met het ontwerpen van datawarehouses (Kimball dimensionale modellering) en bij voorkeur ervaring met Agile ...

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 ...

Breadth of experience across a wide variety of products and tools. The following is to give you an idea of the environment – Kafka, Snowflake, Databricks, Lakehouse, Fabric, MongoDB, AWS/Azure, Astronomer, Power BI etc. Please note: This is a Hybrid role and requires 3 days a week onsite ...

equivalent qualification. Skills: Proficiency in SQL Server, Azure Cosmos DB and Apache Spark. Communication: Strong communication and organisational skills. Advantageous Skills Experience in Azure Databricks is a strong advantage. Experience in Azure Data Factory is a strong advantage. Experience in .NET and Entity Framework is a strong advantage. Experience ...

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. ...

simplify complexity and engage with stakeholders at all levels Experience contributing to or leading bids, presentations, RFIs/RFPs Hands-on experience with Databricks, AzureML , or similar data science platforms Familiarity with cloud ecosystems such as AWS, Azure, GCP , plus Infrastructure-as-Code (e.g., Terraform) Skilled in deploying solutions using ...

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. ...

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 ...

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/ ...

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. ...