14 of 14 Databricks Jobs in Leeds

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 engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency … Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams ...

Databricks Data Engineer - Leeds - Up to £70,000 Location: Leeds (Hybrid – 2 days per week onsite) Job Type: Permanent About the Company Our client is a rapidly growing data‐driven consultancy helping enterprise‐scale organisations modernise their data estates. With several major new projects kicking off in early 2026, they … expanding their Leeds engineering hub and looking for a Databricks-focused Data Engineer to join their high‐performing team. You will design, build, and optimise cloud-based data pipelines that feed analytics, AI, and real-time insights. You’ll work closely with architects, analysts, and platform teams to deliver scalable ...

self-healing data workflows Nice to Have Knowledge of FinOps principles and cloud cost optimisation Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow Exposure to containerisation tools (Kubernetes, Docker) Experience with data cataloguing tools Familiarity with unit testing in data pipelines Awareness of MLOps practices ...

challenge in a cross-functional environment Proven track record in data analytics providing insight as well as recommendations Strong experience of using Azure/Databricks Advanced SQL skills Ability to interpret user requirements to design & build effective solutions. Strong analytical and problem- solving abilities Ability to mentor less experienced colleagues ...

working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? Private health and mental wellbeing coverage, including access to counselling and coaching. Salary ...

quality data platforms that support critical, real-world decision-making. As a Senior Data Engineer, youll design and deliver robust data pipelines using Azure, Databricks, Python, SQL, and Spark, working closely with data scientists, analysts, and stakeholders in an agile environment. Youll also play a key role in mentoring others … shaping best practice, and contributing to the evolution of modern data architecture. Key Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience ...

data platforms that support critical, real-world decision-making. As a Senior Data Engineer, you’ll design and deliver robust data pipelines using Azure, Databricks, Python, SQL, and Spark, working closely with data scientists, analysts, and stakeholders in an agile environment. You’ll also play a key role in mentoring … others, shaping best practice, and contributing to the evolution of modern data architecture. Key Experience • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. • Proven ...

Data Engineer Leeds (hybrid, minimum three days per week on-site) Competitive, plus bonus and benefits Why Apply? We're looking for a skilled Data Engineer to help shape the future of data within a ...

lead in one of our data delivery squads. As an SME, you'll develop and implement scalable and efficient data solutions using ADF and Databricks, build and maintain robust ETL pipelines for data transformation, and optimise data processing jobs for performance and cost. What will you bring to the role … Data Engineer, technically skilled, always curious and highly passionate about using data to make an impact. Significant experience with Azure Data Factory, Data Lake, Databricks and SQL. A collaborative, supportive approach with the ability to step up as technical lead, communicate clearly and support colleagues Proficiency in data modelling ...

Analysis, Data Science, or Maths with specific analytical qualifications is essential Previous experience as a Data Analyst or similar role is preferred Experience in Databricks would be highly desired but is not required The right candidate will likely only have some of the following technical skills & experience (listed … current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). ...

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on ...

Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines ...

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 ...