1 to 25 of 46 Remote PySpark Jobs in London

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 More ❯

working in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding More ❯

working in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding More ❯

working in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding More ❯

of experience in Data Engineering, with a focus on cloud platforms (Azure, AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in ETL/ELT development and data pipeline orchestration (Databricks Workflows, DLT, Airflow, ADF More ❯

/Experience: The ideal candidate will have the following: Proven experience leading data engineering projects, especially cloud migration initiatives. Hands-on experience with Python, PySpark, SQL, and Scala. Deep knowledge of modern data architecture, data modeling, and ELT/ETL practices. Strong grasp of data security, governance, and compliance More ❯

similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership and ability to drive implementation/solution design More ❯

similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership and ability to drive implementation/solution design More ❯

similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership and ability to drive implementation/solution design More ❯

similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership and ability to drive implementation/solution design More ❯

able to engage directly with clients and senior stakeholders. Cloud-native development – Azure, AWS, or GCP. Expertise in data pipeline design and implementation using: PySpark Databricks Snowflake Experience working in data science, AI or machine learning environments is a big plus. Understanding of data governance, quality, and security in More ❯

responses and root cause analysis. Following and improving architectural standards. Required Skills and Experience Proficiency in Azure and related data services. Strong SQL and PySpark skills, focusing on efficient, modular code. Experience with modern cloud data platforms (e.g., Databricks, Snowflake, RedShift). Knowledge of Data Lakehouse principles and best More ❯

optimisation. Knowledge of modern data architectures and patterns, with demonstrable experience within data lakehouse architectures. Experience of data engineering and orchestration in Databricks using PySpark, SQL, and DLT. Understanding of data governance and security best-practice, with an appreciation of data privacy, data retention and user-access policies. Good More ❯

Collaborate across technical and non-technical teams Troubleshoot issues and support wider team adoption of the platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong More ❯

Collaborate across technical and non-technical teams Troubleshoot issues and support wider team adoption of the platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong More ❯

Collaborate across technical and non-technical teams Troubleshoot issues and support wider team adoption of the platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong More ❯

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 More ❯

with NLP, image processing, information retrieval, and deep learning models Experience with experiment design and conducting A/B tests 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 More ❯

in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or all More ❯

in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or all More ❯

in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or all More ❯

with proficiency in designing and implementing CI/CD pipelines in Cloud environments. Excellent practical expertise in Performance tuning and system optimisation. Experience with PySpark and Azure Databricks for distributed data processing and large-scale data analysis. Proven experience with web frameworks , including knowledge of Django and experience with More ❯

with proficiency in designing and implementing CI/CD pipelines in Cloud environments. Excellent practical expertise in Performance tuning and system optimisation. Experience with PySpark and Azure Databricks for distributed data processing and large-scale data analysis. Proven experience with web frameworks , including knowledge of Django and experience with More ❯

following areas: Data Warehousing (Databricks) Data Modelling (Medallion Arch, Facts/Dimensions) Azure Data Stack (DataFactory/Synapse) Visualisation (PowerBI) Coding Best Practice (Python, PySpark) Real-Time Processing (SQL) Insurance/Finance Experience Startup experience Leadership/Line Management experience. What’s in it for you? Remote First Working More ❯

following areas: Data Warehousing (Databricks) Data Modelling (Medallion Arch, Facts/Dimensions) Azure Data Stack (DataFactory/Synapse) Visualisation (PowerBI) Coding Best Practice (Python, PySpark) Real-Time Processing (SQL) Insurance/Finance Experience Startup experience Leadership/Line Management experience. What’s in it for you? Remote First Working More ❯