26 to 50 of 211 Remote PySpark Jobs

and architecture Maintain comprehensive technical documentation for data systems, processes, and tools What we’re looking for Strong proficiency in SQL/Python/Pyspark and/or other languages relevant to data processing Experience with Infrastructure as code e.g Terraform, for managing cloud infrastructure Experience designing, implementing, and More ❯

and architecture Maintain comprehensive technical documentation for data systems, processes, and tools What we're looking for Strong proficiency in SQL/Python/Pyspark and/or other languages relevant to da processing Experience with Infrastructure as code e.g Terraform, for managing cloud infrastructure Experience designing, implementing, and More ❯

and architecture • Maintain comprehensive technical documentation for data systems, processes, and tools What we're looking for • Strong proficiency in SQL/Python/Pyspark and/or other languages relevant to da processing • Experience with Infrastructure as code e.g Terraform, for managing cloud infrastructure • Experience designing, implementing, and More ❯

/CD tools Key Technologies: Azure Databricks, Data Factory, Storage, Key Vault Source control experience (e.g., Git) Proficiency in SQL (Spark SQL) and Python (PySpark) Certifications: Microsoft Certified: Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900) Curiosity about technology and adaptability Agile mindset, optimism, passion, pragmatism Willingness to More ❯

Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory. 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 More ❯

Storage, Key Vault Experience with source control systems, such as Git dbt (Data Build Tool) for transforming and modelling data SQL (Spark SQL) & Python (PySpark) Certifications: Microsoft Certified: Azure Fundamentals (AZ-900) Microsoft Certified: Azure Data Fundamentals (DP-900) You will need to be you. Curious about technology and More ❯

data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication skills with the ability to collaborate across More ❯

data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or More ❯

data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or More ❯

data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication skills with the ability to collaborate across More ❯

data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or More ❯

data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or More ❯

availability and integrity. •3+ years of experience in data engineering, data architecture, or similar roles. •Expert proficiency in Python, including popular data libraries (Pandas, PySpark, NumPy, etc.). •Strong experience with AWS services—specifically S3, Redshift, Glue (Athena a plus). •Solid understanding of applied statistics. •Hands-on experience More ❯

A A A grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks More ❯

team solving real-world trading challenges ? What We’re Looking For 8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Familiarity with DevOps, CI/CD pipelines, and Agile More ❯

team solving real-world trading challenges ? What We’re Looking For 8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Familiarity with DevOps, CI/CD pipelines, and Agile More ❯

IAT Level II Certification may be required (GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Advanced proficiency in Python, SQL, PySpark, MLOps, computer vision, and NLP, Databricks, AWS, Data Connections Cluster Training and tools such as GitLab, with proven success in architecting complex AI/ML More ❯

on a multi-year digital transformation journey where your work will unlock real impact. 🌟 What you'll do Build robust data pipelines using Python, PySpark, and cloud-native tools Engineer scalable data models with Databricks, Delta Lake, and Azure tech Collaborate with analysts, scientists, and fellow engineers to deliver More ❯

on a multi-year digital transformation journey where your work will unlock real impact. 🌟 What you'll do Build robust data pipelines using Python, PySpark, and cloud-native tools Engineer scalable data models with Databricks, Delta Lake, and Azure tech Collaborate with analysts, scientists, and fellow engineers to deliver More ❯

Trusted Research Environments (TREs). We’re looking for candidates with strong experience in Python and cloud-native data processing and storage technologies, especially PySpark/Databricks, K8s, Postgres, Dagster, and Azure. If you have solid experience in similar technologies and are looking to widen your knowledge and experience More ❯

warehouse, Lakehouse, Data Lake Hands-on experience with Power BI, semantic modelling, and DAX Strong SQL and data manipulation skills. Exposure to Python and PySpark is required. Experience working with open data formats like Delta Lake, Parquet, Json, Csv. Familiarity with CI/CD pipelines, version control (e.g., Git More ❯

their data. Overview of responsibilities in the role: Design and maintain scalable, high-performance data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet More ❯

their data. Overview of responsibilities in the role: Design and maintain scalable, high-performance data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet More ❯

their data. Overview of responsibilities in the role: Design and maintain scalable, high-performance data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet More ❯

AWS: S3, Lambda, EMR, SMS, SQS, and additional services related to data infrastructure Terraform Databricks Data Lake, Warehouse, Lakehouse architecture and design Python/Pyspark Data platforms and notebooks: Jupyter, Databricks, Azure Gitlab: repository and CI/CD Java (Spring Boot) experience is a plus Benefits: Join a rapidly More ❯