1 to 25 of 53 Remote Permanent PySpark Jobs in England

personal development What's in it for you? Up to £90k Bonus scheme Skills and Experience Experience in using modern technologies such as Python, Pyspark, Databricks Experience in using advanced SQL Experience with Cloud computing, preferably Azure Experience in working on loyalty scheme projects If you would like to more »

Senior Data Engineer (Machine Learning) Paying up to £80,000 + 10% bonus Remote first policy – Office in Central London if preferred One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing space more »

You’ll Need : Experience working with the Microsoft Azure stack Hands-on experience in building ETL pipelines and data platforms Proficiency with SQL and PySpark Strong experience with Azure Data Factory , Synapse , Databricks , and Power BI Why Work Here : Flat structure with a mentorship program: Be assigned a director more »

Senior Data Engineer Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are more »

Are you passionate about revolutionising engineering with AI? Here at Monolith AI we're on a mission to empower engineers to use AI to solve even their most intractable physics problems. We've doubled in size over the last four more »

the technical development of greenfield solutions to MVP demonstrations Technical Skills: Python Required: Proficient in pandas, numpy and sklearn. Desired: Professional experience with Databricks, PySpark, Cloud deployment, CI/CD and Git. Required: Proficient in creating E2E pipelines to train ML models including EDA, Feature Engineering, Model Selection, Parameter more »

This is alongside championing a solid learning & Development culture at all levels. You will need experience of: 🔸Data Engineering 🔸Python (Strong) 🔸Azure 🔸Pandas/Pyspark 🔸DataBricks As a senior, your role is hands on, getting stuck into the technical details and building the data pipelines. If you have worked more »

This is alongside championing a solid learning & Development culture at all levels. You will need experience of: 🔸Data Engineering 🔸Python (Strong) 🔸Azure 🔸Pandas/Pyspark 🔸DataBricks 🔸 Working in a consultancy As a Lead, your role includes being hands on, getting stuck into the technical details and building the data more »

documentation and clarifying complex concepts What we are looking for Background in computer science, engineering, IT or similar technical fields Experience in Python and PySpark, as well as SQL and similar tools Knowledge of APIs, RESTful services and development best practices What’s in it for you? Base salary more »

technical stakeholders. Experience Required: Extensive experience in training, deploying and maintaining Machine Learning models. Data Warehousing and ETL tools. Python and surrounding ML tech; PySpark, Snowflake, Scikit Learn, TensorFlow, PyTorch etc. Infrastructure as Code - Terraform, Ansible. Stakeholder Management - Tech and Non-Technical. The Offer: Base Salary more »

to be prepared to work in the location the client wants. Salary: £95,000 – £110,000 (dependent on experience). Tech/Tools: Python, PySpark, SQL, ELT, Azure DataBricks, Data Factory, Snowflake, CI/CD. Ideal background: Excellent knowledge of PySpark, Python and SQL fundamentals. Good experience with more »

real time intelligence and data exploration Practical experience of using Microsoft Azure Dev Ops and CI/CD Expert SQL knowledge Proficient in Python, PySpark The ability and desire to mentor more junior members of the team Strong communication skills Experience of building data pipelines in Fabric is desirable more »

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you more »

data modelling Technical Skills Proficient in SQL Server and relational database management Experience with cloud platforms like Azure (Synapse, Data Lake) Programming in Python, PySpark, and T-SQL Additional Skills Familiarity with data analysis tools and workflows Strong communication and collaboration skills Experience in fast-paced, team-oriented environments more »

Knowledge and practical (commercial) application of ML techniques Python and SQL are pre-requisites – in an ideal world you’ll have DataBricks, PowerBI and PySpark too Must have ~3 years experience in an Analytical/Data Science role – preferably in FS or other regulated/highly transactional Industry Be more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »

Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps. Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it. As it stands, their Data team more »