1 to 25 of 42 Remote/Hybrid PySpark Jobs in the UK

backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake ...

Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use ·Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources ·Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle ·Shaping ...

design and ETL logic. DevOps: Hands-on experience with Azure DevOps , CI/CD pipelines, and Key Vault. Bonus: Experience with Azure Databricks or PySpark is highly desirable. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

across the platform. Key Skills & Experience Strong experience with Azure Databricks, Azure Data Factory and Azure Data Lake . Advanced Python, SQL and Spark (PySpark) development experience. Experience building and optimising ETL/data pipelines in cloud environments. Knowledge of CI/CD and version control (Azure DevOps, GitHub ...

analytics and visualisation Collaborating with engineers, analysts and stakeholders in Agile delivery teams Tech stack SQL Python Azure or AWS Databricks/Spark/PySpark Data warehouses/lakehouse platforms CI/CD and modern engineering practices We're looking for someone who Has experience building production data pipelines ...

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience of REST API standards. Proficiency in writing clean, readable, and secure code for Azure backend services, i.e. functions, utility functions etc. Experience ...

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 ...

Databricks, including workspace design and configuration. Demonstrable experience implementing the Medallion Architecture for structured data transformation. Advanced ETL/ELT development experience using PySpark, Delta Lake and Databricks SQL. Practical experience with Unity Catalog for governance, metadata management and lineage tracking. Strong knowledge of Azure Data Platform components, including ...

integration. Proficiency with Databricks for data processing and analytics. Working knowledge of NodeJS would be an added advantage. Solid programming skills in Python , PySpark, Spark . Candidate must be adept at working with large-scale datasets , S3 , Python , and data cataloguing tools . Familiarity with data engineering best practices ...

CDF. High technical proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Thorough understanding of Spark distributed computing concepts. High technical proficiency in PySpark and Spark Concepts. Experience with concurrency patterns, CLR, and scalable application design. Deep understanding of Azure services including Azure Functions, App Services ...

Lloyd's of London or London Market insurance sector Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling. Strong Python, PySpark and Spark SQL capability Solid understanding of data governance Proven track record of ownership, delivery and operating effectively in fast-paced environments. What ...

Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL. Proven record of technical leadership and effective stakeholder engagement. Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power ...

Experience 5+ years in data engineering, including experience in a senior or lead position Strong expertise across AWS Hands-on experience with Databricks, PySpark, and Lakehouse patterns Strong Python and SQL engineering ability Experience implementing scalable ETL/ELT pipelines Background in data modelling and building analytics-ready datasets ...

TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with ...

Lead Data Engineer - Pyspark/AWS/Python/SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale … PySpark migrations. The role requires strong engineering discipline, deep data understanding, and the ability to deliver production-ready data pipelines in a financial services environment. Essential Skills PySpark & Data Engineering Minimum 5+ years of hands-on PySpark experience. SAS to Pyspark migration experience Proven ability ...

Data Warehouse capabilities. Design, manage, and optimise data storage within OneLake , ensuring well-governed, well-structured, and shareable data assets. Develop scalable Spark (PySpark/Spark SQL) data transformations through Fabric notebooks to support high-volume processing. Create, orchestrate, and monitor robust data ingestion and transformation pipelines using Fabric ...

Required Strong hands-on experience with Microsoft Fabric Experience building end-to-end Lakehouse solutions Good data modelling skills (e.g. star schema) Experience using PySpark or Spark SQL Building data pipelines from APIs, ERP or SaaS systems Working with Fabric pipelines, notebooks and Dataflows Understanding of data governance ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

marketing analytics, including MMM tools such as Meridian, Robyn, or PyMC, multi-touch attribution, customer lifecycle modelling * Proficiency in SQL, Python, R, and PySpark, with experience using BI tools such as Power BI or Looker. * Practical experience with causal inference and experimentation methods. * Strong analytical capability with the ability ...

genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience ...

analysis, model development, and data interrogation. Strong knowledge of PyTorch or similar ML frameworks. Experience handling large datasets and distributed processing with PySpark or similar is desirable . Experience of experimentation tools such as MLflow is a bonus. Comfort with deploying ML models into production environments. Familiarity with ...

timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python/PySpark ...

looking for a technically strong and commercially minded data professional to lead end-to-end model development. What you’ll bring: Strong Python (including PySpark) and SQL skills for data analysis, feature engineering, and modelling Experience building and deploying end-to-end predictive models from scoping through validation ...