76 to 100 of 255 PySpark Jobs in England

Engineer with proven experience designing and delivering production‐grade data pipelines within modern cloud environments. You will have strong expertise in Azure Databricks, including PySpark, Delta Lake and Databricks Jobs, alongside excellent SQL skills and a solid understanding of medallion architecture principles. Comfortable working with data from ...

responsibilities. Ensure solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines … duties as required. Skills and Experience Strong understanding of data engineering principles, data architecture, and cloud-based data platforms. Proficient in Python (PySpark) and SQL for building and optimising data transformations at scale. Strong hands-on Databricks experience. Experience with Azure data storage technologies (Azure SQL, Data Lakes, Blob ...

grow your career while helping customers unlock the power of their data. Responsibilities Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products. Build … ongoing evolution of Envitia’s data engineering capability. Essential Skills & Experience Proven hands‐on experience building and supporting production‐grade data pipelines using Databricks, PySpark, Spark SQL and Delta Lake. Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models. Expertise in developing scalable ETL/ ...

Implement automated testing, CI/CD patterns + deployment best practices for Foundry-based data assets. Technical Environment: Data Engineering, Palantir Foundry, Python, SQL, PySpark, Spark SQL + Cloud (AWS, Azure, GCP), CI/CD, Git based workflows. Benefits: £75,000 - £80,000 (DOE) + Remote/Hybrid Working ...

years of relevant in data governance, compliance, or automation programs. Strong proficiency in Python for data engineering and automation. Hands‐on experience with PySpark and Spark SQL in production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet . Advanced SQL skills; experience with Oracle databases . Experience designing ...

/reporting outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Hands-on exposure to DCRM tooling and operational exception management processes. Experience with governance/ ...

ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/CD mindset. Hybrid work with three days in the office weekly is offered. #J ...

tools, and emerging technologies. \* Develop reference architectures, solution blueprints, and best-practice playbooks for Databricks implementations. \* Architect scalable ETL/ELT pipelines using PySpark, Spark SQL, Delta Live Tables, and Databricks Workflows. \* Implement performance optimization strategies for notebooks, clusters, job orchestration, and data storage. \* Guide teams in building curated ...

/CD – GitHub Actions and/or Azure DevOps Databricks workspace administration, Unity Catalog & governance Monitoring & observability – Azure Monitor, Log Analytics & KQL Python/PySpark and scalable data pipelines Security, access management, automation and platform operations We’re particularly interested in engineers with experience across the broader data platform ...

audiences Essential knowledge, skills & experience (must-have): 4+ years of commercial experience in Data Science/Machine Learning Hands-on experience with: Databricks Notebooks PySpark Workflows Deployment through Asset Bundles Proven experience building, deploying, and maintaining production ML solutions Broad experience across multiple ML domains, including: Forecasting/Time ...

Gen2), Purview, Cosmos DB, OpenAI, Azure ML, and AI Foundry Solid understanding of software engineering concepts, with hands‐on experience using Python, Scala or PySpark, data modelling techniques, database technologies, and SQL Confident communicator, able to explain technical concepts to non‐technical audiences and mentor junior colleagues For Senior ...

knowledge of Matillion’s Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms. Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). Education: Bachelor’s or Master’s degree in Computer Science, Data ...

best practices Skills & Experience: Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis ...

data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role ...

knowledge (you don't need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/ ...

client sites or in our office, with hybrid work plan of at least two days per week. Use tools such as Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high‐performance applications. Qualifications Essential requirements A degree, Masters or PhD in data science, mathematics ...

Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, AzureML, AIFoundry, Kubernetes Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL Confident communicator who is able to explain technical terms to non‐technical audiences and mentor junior colleagues Leads ...

pipelines using modern cloud-native data engineering technologies. Provide technical direction across data modelling, ingestion, transformation, orchestration and integration. Apply practical experience of Spark, PySpark, Python and SQL within enterprise data environments. Governance, Security & Quality Embed effective data governance, security, quality and access controls within cloud data environments. Ensure … Fabric or another cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate data governance, security and data quality controls. ...

looking for a Senior Data Engineer – Tech Lead (Databricks, PySpark) to join our team in London, UK, in a hybrid working mode.In this role, you will lead the design, development and optimization of scalable cloud-native data architectures, focusing on Azure Databricks, PySpark and Lakehouse principles. You will … architecture, design and build of large-scale data platforms using Azure Databricks and modern cloud technologiesImplement and optimize ETL workflows and streaming pipelines with PySpark and Delta Live Tables following Lakehouse principlesEnhance performance, manage cloud costs and ensure platform reliability for structured streaming workloadsDefine data governance, security and quality ...

/or algorithms, understanding of NLP algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOp/DevOps: Terraform, Docker, Airflow, MLFlow, NewRelic The interview process Recruiter Call (30 minutes) Meeting ...

knowledge (you don't need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/ ...

knowledge (you don't need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/ ...

complex data led organisation* Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design ...

complex data led organisation* Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design ...

complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design ...