151 to 175 of 422 Remote PySpark Jobs

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

Bristol, England, United Kingdom 1 month ago London, England, United Kingdom 4 weeks ago Manchester, England, United Kingdom 1 month ago Data Engineer , Python, PySpark, and SQL, AWS London, England, United Kingdom 3 months ago City Of London, England, United Kingdom 3 weeks ago London, England, United Kingdom More ❯

is highly advantageous. Tech Expertise: Advanced knowledge in one or more of the following technologies: Google Cloud Platform, AWS, Microsoft Azure, Databricks, Python, R, Pyspark, Scala, PowerBI, Tableau. Your Role and Impact AI & Data Science Leadership: Youll guide and mentor the team while delivering impactful AI, Data Science, and More ❯

is highly advantageous. Tech Expertise: Advanced knowledge in one or more of the following technologies: Google Cloud Platform, AWS, Microsoft Azure, Databricks, Python, R, Pyspark, Scala, PowerBI, Tableau. Your Role and Impact AI & Data Science Leadership: You’ll guide and mentor the team while delivering impactful AI, Data Science More ❯

Azure-based platforms (Synapse, Data Factory, Databricks) Familiarity with data regulations (GDPR, FCA) and SMCR environments Bonus points for experience with Python, R, or PySpark Why You Should Apply: Executive-level visibility and the chance to lead a high-impact transformation Full budget ownership with the freedom to shape More ❯

processes with a bias toward smart automation. Proven ability to collaborate with and mentor other engineers. Experience in data processing and analysis using SQL, PySpark, or similar frameworks is a plus. A rapid learner with robust analytical and problem-solving abilities. Our Values Act Like an Owner - Think and More ❯

Required Skills & Knowledge: Data Lake - Azure SQL Server - Data Factory -Azure Databricks - Azure Databricks -Azure Synapse Azure Data Explorer - Azure DevOps - Microsoft Fabric -Python & PySpark You have a strong background and min 5 years of experience working with Microsoft Azure Data Services (overview above) You are familiar with Big More ❯

AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau. Proven experience in successfully delivering multiple complex data rich workstreams in parallel to supporting wider strategic ambitions and supporting others in More ❯

able to hit the ground running with Databricks and ideally have knowledge of Apache Spark. Sound SQL exposure and AWS cloud experience are essential. Pyspark knowledge would be highly advantageous. The platform integrates with Power BI, so experience in presenting complex reports and dashboards in Power BI or similar More ❯

hit the ground running with Databricks and ideally have knowledge of Apache Spark. Sound SQL exposure and AWS cloud experience are essential. Knowledge of Pyspark would be highly advantageous. The platform integrates Power BI, so experience in presenting complex reports and dashboards in PowerBI or similar tools is desirable. More ❯

of Cloud Services (preferably Azure) for data engineering, storage, and analytics. Solid expertise in solution architecture and data modeling. Proficiency in programming languages like PySpark or Python. Strong experience with SQL and NoSQL databases. Deep understanding of data warehousing, virtualization, and analytics concepts. Applying: If you feel you have More ❯

with the business, as required, to elicit feed requirements support existing metadata feeds Requirements Candidates should have: experience working with Databricks, both SQL and PySpark (preferably, at least 3 years) experience with Azure services, such as ADF robust development practices strong interpersonal skills experience of CI/CD (not More ❯

of the data team Skills, Knowledge and Expertise Skills: Proficiency in cloud based data engineering tools (ADF, Synapse Analytics, S3, Lamda) Proficiency in using PySpark notebooks for ELT. Fostering and cultivating a culture of best practices Strong analytical and problem-solving skills. Ability to work independently and as part More ❯

on experience as a Data Engineer working with Databricks and Apache Spark • Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL) • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables • Solid understanding of data warehousing principles … to continuously improve tools and approaches Technologies: AI AWS Azure CI/CD Cloud Databricks DevOps ETL GCP Support Machine Learning Power BI Python PySpark SQL Spark Terraform Unity GameDev Looker SAP More: NETCONOMY has grown over the past 20 years from a startup to a 500-people team 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 ❯

office. Contract duration: 6 months Location: London Rate: 300 to 340 pounds/day on inside Required Technical Skills: Palantir Foundry ETL Spark Python PySpark Informatica AWS SQL, PLSQL Shell Scripting Data Lake Data warehousing Scala Oracle MS SQL Server PowerBI More ❯

office. Contract duration: 6 months Location: London Rate: 300 to 340 pounds/day on inside Required Technical Skills: Palantir Foundry ETL Spark Python PySpark Informatica AWS SQL, PLSQL Shell Scripting Data Lake Data warehousing Scala Oracle MS SQL Server PowerBI More ❯

office. Contract duration: 6 months Location: London Rate: 300 to 340 pounds/day on inside Required Technical Skills: Palantir Foundry ETL Spark Python PySpark Informatica AWS SQL, PLSQL Shell Scripting Data Lake Data warehousing Scala Oracle MS SQL Server PowerBI More ❯

office. Contract duration: 6 months Location: London Rate: 300 to 340 pounds/day on inside Required Technical Skills: Palantir Foundry ETL Spark Python PySpark Informatica AWS SQL, PLSQL Shell Scripting Data Lake Data warehousing Scala Oracle MS SQL Server PowerBI More ❯

office. Contract duration: 6 months Location: London Rate: 300 to 340 pounds/day on inside Required Technical Skills: Palantir Foundry ETL Spark Python PySpark Informatica AWS SQL, PLSQL Shell Scripting Data Lake Data warehousing Scala Oracle MS SQL Server PowerBI More ❯

Technology Lead Location: London UK (Hybrid | 3 days/week working from office) Duration: 6 months Contract Skill Sets: • Palantir Foundry • ETL • Spark • Python • PySpark • Informatica • AWS • SQL, PLSQL • Shell scripting • Data Lake • Data warehousing • Scala • Oracle • MS SQL Server • PowerBI. Thanks & Regards Milan | Talent Acquisition | Europe & UK Ampstek More ❯