26 to 50 of 193 Remote/Hybrid Databricks Jobs

Bring Strong experience as a Data Engineer in cloud and on-prem environments. Hands-on skills with Azure data services (ADF, Fabric, Databricks, Synapse). Proficiency in T-SQL and modern data modelling techniques. Understanding of GDPR/ISO27001 and data governance principles. Experience with Git, CI/ ...

modelling approaches Experience deploying ML services into production using cloud-native technologies (e.g., containers, Kubernetes or equivalent) Experience with Azure and/or Databricks is highly desirable Comfortable working with standard engineering and data tooling: Git, CI/CD pipelines (Azure DevOps a plus), JIRA Experience deploying ML solutions ...

Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest in B2B SaaS, data platforms, or AI-enabled products What’s On Offer Build ...

technologies, depending on the client and project needs but will ideally possess strength in some or all of the following: MS Fabric stack Databricks Snowflake Azure/AWS SQL (advanced) Power BI Tableau Data Modelling including star schema A general IT architecture and systems integration is also required. Other technologies ...

Looking For Proven experience as a senior developer in backend development Strong skills in Python, SQL and cloud-based AI frameworks (e.g Databricks, azure AI services) Proficient with Azure-based software development including Azure DevOps, Git, CI/CD, Entra ID RBAC and Azure Services Understanding of software architecture, design ...

Cleared Databricks Data Engineer - Hybrid - Outside IR35 We are seeking a skilled Databricks Data Engineer to design, build, and optimize scalable data pipelines and analytics platforms. In this role, you will work closely with data scientists, analysts, and product teams to deliver reliable, high-performance data solutions using Databricks … modern cloud technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £40,000 – £45,000 salary Hybrid working in London Strong benefits package (details ...

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 ...

Python Practical experience with distributed systems, ideally in an AWS cloud environment or with Docker and Kubernetes Practical experience with DataLake technologies, such as Databricks or AWS Athena and Apache Spark Practical experience in professional software development (e.g., dependency injection, mocking, TDD, CI/CD pipelines) Confident handling of relational ...

MongoDB) databases. Experience applying AI/ML to business processes is a significant plus, as is familiarity with major platforms (Gemini, Google Cloud AI, Databricks). An exciting career as an integral part of a world leading software company providing solutions for architecture, engineering, and construction - watch this short documentary ...

MongoDB) databases. Experience applying AI/ML to business processes is a significant plus, as is familiarity with major platforms (Gemini, Google Cloud AI, Databricks). An exciting career as an integral part of a world leading software company providing solutions for architecture, engineering, and construction - watch this short documentary ...

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 ...

Technology Consulting - Databricks Engineer, Assistant Manager Location: Dublin 2 Other locations: Primary Location Only Date: Oct 20, 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever … opportunity Are you ready to shape how organisations use data to make smarter decisions? At EY Ireland, we're looking for a Databricks expert to help design and deliver modern data platforms that drive real business impact. This is your chance to work with cutting edge technologies, influence strategic decisions ...

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 ...

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 ...