26 to 50 of 64 Remote PySpark Jobs

travel to Leeds/Newcastle) Clearance: Active SC Clearance required Rate: Up to £425/day (Inside IR35) Tech Stack: AWS (EMR, S3, Lambda), PySpark, Python, SQL, CI/CD Focus: Building scalable pipelines, modernising ETL, supporting MI/Power BI Level: Mid to Senior - mentoring & architectural input expected ...

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 ...

methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers ...

methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers ...

Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data ...

qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

schema design Develop API connectors and ingestion pipelines using Python Implement integration services feeding into the Databricks environment Build data transformation logic using PySpark/Python (data cleansing, standardisation, validation) Configure monitoring, logging, and alerting Execute unit and integration testing across pipelines Experience: Azure Databricks Python Financial Services sector ...

schema design Develop API connectors and ingestion pipelines using Python Implement integration services feeding into the Databricks environment Build data transformation logic using PySpark/Python (data cleansing, standardisation, validation) Configure monitoring, logging, and alerting Execute unit and integration testing across pipelines Experience: Azure Databricks Python Desirable - any exposure ...

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 ...

mentoring, and peer-reviewing the work of junior colleagues. What We Are Looking For The Core Tech Stack: Advanced proficiency in Python (most critical), PySpark, SQL, and Snowflake. Experimentation Expertise: Strong, demonstrable working knowledge of experiment design, A/B testing methodologies, and randomisation. Data Visualisation: Expert capability ...

mentoring, and peer-reviewing the work of junior colleagues. What We Are Looking For The Core Tech Stack: Advanced proficiency in Python (most critical), PySpark, SQL, and Snowflake. Experimentation Expertise: Strong, demonstrable working knowledge of experiment design, A/B testing methodologies, and randomisation. Data Visualisation: Expert capability ...

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 ...

complex technical architectures. Essential Skills Clearance: Active UK Government Security Check (SC). GenAI: Expertise in LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months ...

complex technical architectures. Essential Skills Clearance: Active UK Government Security Check (SC). GenAI: Expertise in LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months ...

considering: We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and lakehouse solutions … time. Your Role: Design, develop, and maintain scalable data pipelines using Databricks on AWS. Build and optimize data processing frameworks using PySpark, Spark SQL, Python, Delta Lake, and Databricks notebooks. Develop end-to-end ETL/ELT pipelines for ingestion, transformation, validation, and consumption. Work with AWS services such ...

connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large‐scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross‐functional teams ...

Collaborative office environment with regular social and charity events And Much More!!! DATA ENGINEER - ESSTENTIAL SKILLS Strong experience with Databricks and Apache Spark (PySpark or Scala) Experience building streaming and batch pipelines using Spark Structured Streaming Hands-on experience with Kafka (MSK) and real-time data ingestion Strong understanding … submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative ...

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python/Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working ...

Azure platform — including infrastructure-as-code (Pulumi), CI/CD automation, monitoring, security, and Databricks workspace administration. The ideal candidate combines strong Python/PySpark engineering skills with deep Azure platform knowledge and a service-excellence mindset. Duties and Responsibilities Lead solution design activities, collaborating with peers and mentoring … Databricks: hands-on experience building and optimizing pipelines, managing Delta Lake, and administering workspaces (cluster policies, Unity Catalog, Secret Scopes, Workflows). Python/PySpark: strong programming skills for data processing, automation, and scripting. Azure data stack: Synapse, Databricks, ADLS Gen2, Key Vault — including Linked Services, Managed Identity ...