26 to 50 of 80 Remote PySpark Jobs

Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it More ❯

and validate data models and 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’s in it for you? Base salary of More ❯

and validate data models and 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’s in it for you? Base salary of More ❯

and validate data models and 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’s in it for you? Base salary of More ❯

and validate data models and 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’s in it for you? Base salary of More ❯

and validate data models and 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’s in it for you? Base salary of More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

London offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering More ❯

and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to More ❯

and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and More ❯

Client governance and change control processes • Develop and maintain ELT/ETL pipelines using AWS Glue, Step Functions, Lambda, DMS, and AppFlow • Automate transformations and model refresh using Python, PySpark and SQL • Implement end-to-end source-to-target data integration, mapping and transformation across data source Raw Curated Redshift • Proficient in Redshift SQL for transformations, optimization, and model More ❯

stack - you'll be empowered to design solutions using the most appropriate technologies, deploying final implementations on AWS. You'll bring hands-on depth and knowledge in: Languages: Python, PySpark, SQL Technologies: Spark, Airflow Cloud: AWS (API Gateway, Lambda, Redshift, Glue, CloudWatch, etc.) Data Pipelines: Designing and building modern, cloud-native pipelines using AWS services In addition, you will More ❯

Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence More ❯

C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage, and database resources. Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic modeling and the valuation of financial derivatives. Domain expertise in derivatives within energy More ❯

CDC. Knowledge of public/enterprise cloud technologies (AWS EC2, S3 Bucket, GCP, Azure) is advantageous but not required. Some skills/experience with automated testing frameworks (Java, Python, PySpark, Bitbucket, Gitlab, Jenkins) is advantageous but not required. Strong Environment Management skill Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to More ❯

/executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: 1 to 2 days a week in the office More ❯

within a cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS (Lambda, Glue, ECS, S3, etc.) Python and PySpark (data pipelines, APIs, automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection More ❯

within a cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS?(Lambda, Glue, ECS, S3, etc.) Python and PySpark?(data pipelines, APIs, automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection More ❯

Azure DevOps. Required Skills & Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data warehouse programmes. Exposure to Microsoft More ❯

methodologies and key IR metrics Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks Tech Stack Core : Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph Data Stores : Vector Databases, DynamoDB, AWS S3, AWS RDS Cloud & MLOps : AWS, Databricks, Ray ️ Unlimited vacation time - we strongly encourage all of our employees take at least More ❯

in the development and maintenance of Data warehouses Developing and deploying Azure Data Factory, Azure Data Bricks, Infomatica Customer 360, SQL, reports, and automation Employ a strong knowledge of PySpark to optimize and develop workbooks Configuring Informatica to integrate data with our EDP platform as well as create and monitor data quality rules Collaborating with Architects and Senior Engineers More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯