12 of 12 PySpark Jobs in the North East

Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

team - Experiment in your domain to improve precision, recall, or cost savings Requirements - Expert skills in Java or Python - Experience with Apache Spark or PySpark - Experience writing software for the cloud (AWS or GCP) - Speaking and writing in English enables you to take part in day-to-day conversations ...

engineering best practicesYou have experience with Databricks, ideally also AzureYou have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and PandasYou're excited to join a start-up in a role that you can shape and influenceYou're collaborative with excellent communication skillsApply ...

Delta Lake, with governance, security, and real-time processing at scale. The role sits in the Enterprise Data Team and requires strong SQL and PySpark, plus experience with cloud-native data platforms. Hybrid working available, with 2 days in the office and 3 days from home. #J-18808-Ljbffr ...

functional teams to deliver high-quality technical solutions. Support the ongoing maintenance and optimisation of platform services. Essential Skills & Experience Hands-on experience with PySpark for data transformation and processing. Experience working with AWS data services , including: AWS Glue Amazon S3 Experience using Terraform for Infrastructure as Code. Experience ...

machine learning and analytical solutions from discovery through to deployment and business impact. Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch. Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow. Experience working with business stakeholders ...

hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets … data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable ...

machine learning and analytical solutions from discovery through to deployment and business impact. Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch. Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow. Experience mentoring data scientists ...

Data Engineer in the United Kingdom to design, build, and maintain data pipelines on a modern AWS-native stack. You will use Spark/PySpark for distributed processing, Airflow for orchestration, and Terraform for infrastructure as code in a hybrid work arrangement with weekly travel to Newcastle office. ...

hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets … data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable ...

Hybrid, 3 days onsite). This 12-month fixed-term contract role focuses on building and supporting modern cloud-based data platforms using AWS, PySpark, and IaC. You will work with Terraform, GitLab CI/CD, and collaborate with engineers to deliver secure, scalable cloud solutions. You’ll join ...