4 of 4 Databricks Jobs in Ipswich

Senior Data Engineer

Hiring Organisation
ScaleOps Search Ltd
Location
Ipswich, Suffolk, UK
Employment Type
Full-time
best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

Data Scientist

Hiring Organisation
trg.recruitment
Location
Ipswich, Suffolk, UK
Employment Type
Full-time
work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases … tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain ...

Head of Data

Hiring Organisation
Proactive Appointments
Location
Ipswich, Suffolk, England, United Kingdom
Employment Type
Contractor
Contract Rate
£625 - £680 per day
team of 10–12 specialists , ensuring scalable, secure, and business-aligned data solutions across the organisation. You will provide strategic direction across Azure and Databricks , translating business objectives into a cohesive data roadmap while overseeing delivery through your team. Key Responsibilities Own and deliver the end-to-end data strategy … goals Lead, mentor, and performance-manage a data team of 10–12 (engineers, analysts, platform specialists) Act as the senior authority for Azure and Databricks data platforms, setting standards and best practices Partner with senior stakeholders to define data priorities, governance, and investment decisions Oversee architecture, data platforms, analytics ...