51 to 75 of 80 Remote PySpark Jobs

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 ❯

Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We More ❯

Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We More ❯

deploy models using tools like 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 to integrate AI solutions into scalable More ❯

that resonate You're motivated, adaptable, and love working in empowered, fast-moving environments It would be great if you had: Experience in the energy retail sector Familiarity with PySpark Background in pricing or commercial modelling Here's what else you need to know: This role is open exclusively to internal applicants from E.ON UK and E.ON Next Role More ❯

context. Proven success in leading analysts, including development, prioritisation, and delivery. Deep comfort with tools like SQL, Tableau, and large-scale data platforms (e.g., Databricks); bonus for Python or PySpark skills. Strong grasp of A/B testing, experimentation design, and statistical rigour. Exceptional communicator - able to distil complex data into clear, actionable narratives for senior audiences. Strategic thinker More ❯

for Technical Data Architect location: Central London Type : Permanent Hybrid role (2-3 days from client location) We are seeking a highly skilled TechnicalData Architect- with expertise in Databricks, PySpark, and modern data engineering practices. The ideal candidate will lead the design, development, and optimization of scalable data pipelines, while ensuring data accuracy, consistency, and performance across the enterprise … cross-functional teams. ________________________________________ Key Responsibilities Lead the design, development, and maintenance of scalable, high-performance data pipelines on Databricks. Architect and implement data ingestion, transformation, and integration workflows using PySpark, SQL, and Delta Lake. Guide the team in migrating legacy ETL processes to modern cloud-based data pipelines. Ensure data accuracy, schema consistency, row counts, and KPIs during migration … cloud platforms, and analytics. ________________________________________ Required Skills & Qualifications 10-12 years of experience in data engineering, with at least 3+ years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

Data QA Engineer – Remote-first - £55-65,000 Overview: As a Data QA Engineer, you will ensure the reliability, accuracy and performance of our client’s data solutions. Operating remotely, you will work closely with Data Engineers, Architects and Analysts More ❯

of system components. Experience must include knowledge and use of at least six of the following: Informatica PowerCenter, Oracle PL/SQL, Business Objects, Tableau, Teradata, COBOL, Python, Spark, Pyspark, SQL Server, MS Access or MySQL. The employer will allow employee to work remotely from anywhere within the fifty United States and outlying territories. Master of Computer Science, Engineering More ❯

Strong expertise in Power BI – dashboarding, reporting, and data visualisation Advanced SQL skills for querying and data manipulation Experience with Databricks for scalable data processing Desirable Skills Familiarity with PySpark for distributed data processing More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless … related applications. Hands-on expertise with cloud platforms like Azure, CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in More ❯

Data Analyst/BI Developer - Financial Services (Power BI, PySpark, Databricks) Location: London (Hybrid, 2 days per week onsite) Salary: £65,000 to £75,000 + bonus + benefits Sector: Private Wealth/Financial Services About the Role A leading Financial Services organisation is looking for a Data Analyst/BI Developer to join its Data Insight and Analytics … division. Partner with senior leadership and key stakeholders to translate requirements into high-impact analytical products. Design, build, and maintain Power BI dashboards that inform strategic business decisions. Use PySpark , Databricks or Microsoft Fabric , and relational/dimensional modelling (Kimball methodology) to structure and transform data. Promote best practices in Git , CI/CD pipelines (Azure DevOps), and data … analysis, BI development, or data engineering. Strong knowledge of relational and dimensional modelling (Kimball or similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. More ❯

data integration, reusable data pipelines, data management, analytics, and visualization. Design, deploy, and maintain AWS cloud infrastructure using services such as Aurora Postgres, Glue, Lambda, Redshift, Athena, S3, and Pyspark, leveraging Terraform for infrastructure as code. Hands-on experience with database administration and design for DB2, PostgreSQL, MySQL, and other open-source databases. Ensure strict adherence to organizational data … Qualifications Required: 7+ years of experience in database administration, data architecture, and data engineering Deep experience with DB2, PostgreSQL, MySQL, AWS Aurora Postgres, Redshift, Glue, Athena, S3, Lambda, and Pyspark Advanced expertise in ETL, data integration, and reusable data pipeline development Strong background in deploying and managing AWS infrastructure with Terraform (Infrastructure as Code) Proficiency with version control systems More ❯

someone who enjoys building scalable data solutions while staying close to business impact. The Role As a Data Analytics Engineer , youll design, build, and maintain reliable data pipelinesprimarily using PySpark, SQL, and Python to ensure business teams (analysts, product managers, finance, operations) have access to well-modeled, actionable data. Youll work closely with stakeholders to translate business needs into … spend more time coding, managing data infrastructure, and ensuring pipeline reliability. Who Were Looking For Data Analytics : Analysts who have strong experience building and maintaining data pipelines (particularly in PySpark/SQL ) and want to work on production-grade infrastructure. Data Engineering : Engineers who want to work more closely with business stakeholders and enable analytics-ready data solutions. Analytics … Professionals who already operate in this hybrid space, with proven expertise across big data environments, data modeling, and business-facing delivery. Key Skills & Experience Strong hands-on experience with PySpark, SQL, and Python Proven track record of building and maintaining data pipelines Ability to translate business requirements into robust data models and solutions Experience with data validation, quality checks More ❯

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation leading the delivery of SAM (Supervisory Analytics and Metrics)-a transformative programme enhancing supervisory decision-making through advanced data and More ❯

Role: Developer (PySpark+ Fabric) Location: London Contract (6months +) Hybrid (Inside IR35) The Role The role will be integral to realizing the customer's vision and strategy in transforming some of their critical application and data engineering components. As a More ❯

Manager - Data Engineering Would you like to ensure the successful delivery of the Data Platform and Software Innovations? Do you enjoy creating a collaborative and customer-focused working environment? About our team: LexisNexis Intellectual Property, which serves customers in more More ❯

Data Developer for an urgent contract assignment. Key Requirements: Proven background in AI and data development Strong proficiency in Python , including data-focused libraries such as Pandas, NumPy, and PySpark Hands-on experience with Apache Spark (PySpark preferred) Solid understanding of data management and processing pipelines Experience in algorithm development and graph data structures is advantageous Active SC More ❯