1 to 25 of 47 Remote PySpark Jobs

data engineering and reporting. Including 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're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills More ❯

data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory. Understanding of data extraction from vendor REST APIs. Spark/Pyspark or Python skills a bonus or a willingness to develop these skills. Experience with monitoring and failure recovery in data pipelines. Excellent problem-solving skills and attention to detail. More ❯

development) Strong experience with CI/CD tools and pipelines for data science Solid understanding of AWS services (e.g. EC2, S3, Lambda, Glue) and CDK Proficient in Python and PySpark; SQL fluency Experience with MLflow or other model lifecycle tools Effective communicator and trainer - able to help others upskill Comfortable building internal tools and documentation Nice to Have: Experience More ❯

Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in a software house, consultancy, retail or retail automotive sector would be beneficial but not essential. More ❯

approaches Experience with data ingestion and ETL pipelines Curious, adaptable, and a natural problem solver Bonus points for: Experience in financial services, insurance, or reinsurance Familiarity with Databricks, Git, PySpark or SQL Exposure to cyber risk or large-scale modelling environments Ready to Apply for this exciting Data Scientist role? Send your CV to (see below) - I'd love More ❯

end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business and other departments, translating More ❯

work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional More ❯

with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional More ❯

classifiers, deep learning, or large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching More ❯

architecture Ensuring best practices in data governance, security, and performance tuning Requirements: Proven experience with Azure Data Services (ADF, Synapse, Data Lake) Strong hands-on experience with Databricks (including PySpark or SQL) Solid SQL skills and understanding of data modelling and ETL/ELT processes Familiarity with Delta Lake and lakehouse architecture A proactive, collaborative approach to problem-solving More ❯

data experience (including QCIS) Feature Manipulation Engine (FME) Advanced AWS Hands-on experience (coding/configuration/automation/monitoring/security) Programming Languages such as Spark, Java, Python, PySpark, Scala, etc (minimum 2) Advanced Database and SQL skills Duration : 3-year FTC Location : Remote Salary More ❯

Strong analytical and troubleshooting skills. Desirable Skills Familiarity with state management libraries (MobX, Redux). Exposure to financial data or market analytics projects. Experience with data engineering tools (DuckDB, PySpark, etc.). Knowledge of automated testing frameworks (Playwright, Cypress). Experience of WebAssembly. Python programming experience for data manipulation or API development. Use of AI for creating visualisations. Soft More ❯

term data strategy with a strong focus on data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong More ❯

term data strategy with a strong focus on data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong More ❯

include; Multiple Databricks projects delivered Excellent consulting and client facing experience 7 - 10 years+ experience of Consulting in Data Engineering, Data Platform and Analytics Deep experience with Apache Spark, PySpark CI/CD for Production deployments Working knowledge of MLOps Strong experience with Optmisations for performance and scalability These roles will be paid at circa £600 - £700 per day More ❯

multiple workstreams towards a scalable, reliable, and high-quality data platform Strong knowledge of data compliance frameworks Proven experience migrating from legacy SQL-based systems to modern technologies like PySpark, Databricks, Terraform, and Pandas Hands-on ability to analyse and understand complex data sets Ideally, experience with multi-cloud environments (Databricks on Azure and AWS) A product-minded leader More ❯

operations and performance Work with Azure DevOps to manage and track project work About You Essential Skills & Experience: Proficiency in cloud-based tools (ADF, Synapse, S3, Lambda) Experience using PySpark for ELT pipelines Strong analytical and problem-solving mindset Able to work independently and collaboratively across teams Confident communicator with strong documentation skills Experience in a data engineering role More ❯

lead in the engineering function of the data team Skills, Knowledge and Expertise Skills: Proficiency in cloud based data engineering tools (ADF, Synapse Analytics, S3, Lamda) Proficiency in using PySpark notebooks for ELT. Fostering and cultivating a culture of best practices Strong analytical and problem-solving skills. Ability to work independently and as part of a functional and cross More ❯

Requirements: • 3+ years of hands-on experience as a Data Engineer working with Databricks and Apache Spark • Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL) • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables • Solid understanding of data warehousing principles, ETL/ELT processes, data … data engineering, and cloud technologies to continuously improve tools and approaches Technologies: AI AWS Azure CI/CD Cloud Databricks DevOps ETL GCP Support Machine Learning Power BI Python PySpark SQL Spark Terraform Unity GameDev Looker SAP More: NETCONOMY has grown over the past 20 years from a startup to a 500-people team working across 10 European locations More ❯

SQL Server. Understanding of applying master data management principles, data quality frameworks and data governance best practices. Understanding of Azure Data Factory, Fabric and similar technologies Tech Stack – Python, PySpark, SQL, Xpath, XML, Azure-based Data Science tools, BI tools, Data Visualisation, Agile. The company have an excellent reputation within their sector and have shown consistent growth year-on More ❯

SQL Server. Understanding of applying master data management principles, data quality frameworks and data governance best practices. Understanding of Azure Data Factory, Fabric and similar technologies Tech Stack Python, PySpark, SQL, Xpath, XML, Azure-based Data Science tools, BI tools, Data Visualisation, Agile. The company have an excellent reputation within their sector and have shown consistent growth year-on More ❯

Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities. To be successful in the role, you will need to have extensive experience in data science projects and have built More ❯

Inside IR35 Start Date: ASAP Key Skills Required: Azure Data Factory Azure Functions SQL Python Desirable: Experience with Copilot Studio Experience designing, developing, and deploying AI solutions Familiarity with PySpark, PyTorch, or other ML frameworks Exposure to M365, D365, and low-code/no-code Azure AI tools If interested, please send a copy of your most recent CV More ❯

IR35 Start Date: ASAP Key Skills Required Azure Data Factory Azure Functions SQL Python Desirables- Experience Copilot or Copilot Studio Experience designing, developing, and deploying AI solutions Familiarity with PySpark, PyTorch, or other ML frameworks Exposure to M365, D365, and low-code/no-code Azure AI tools If interetsed please send a copy of your most recent CV More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in More ❯