1 to 25 of 50 PySpark Jobs in London

Preferred Experience in Microsoft Azure services and Databricks Spark, Redshift, Hadoop Map-Reduce or other Big Data frameworks Code management tools (Git, Sbt, Maven) Pyspark, Scala or other functional programming languages Analytics tools such as R or SPSS Any understanding of Web Analytics data such as Adobe Analytics or more »

solutions in a production setting. Knowledge of developing real-time data stream systems (ideally Kafka). Proven track record in developing data systems using PySpark and Apache Spark for batch processing. Capable of managing data intake from various sources, including data streams, unstructured data, relational databases, and NoSQL databases. more »

SQL Server and relational databases. Solid understanding of the Azure data engineering stack, including Azure Synapse and Azure Data Lake. Programming skills in Python, PySpark, and T-SQL. Nice to haves: Familiarity with broader Azure Data Solutions, such as Azure ML Studio. Previous experience with Azure DevOps and knowledge more »

Azure Cloud platform Knowledge on orchestrating workloads on cloud Ability to set and lead the technical vision while balancing business drivers Strong experience with PySpark, Python programming Proficiency with APIs, containerization and orchestration is a plus Qualifications: Bachelor's and/or master’s degree About you: You are more »

Banking and Financial Services sector is advantageous. • Deep knowledge or experience with using as much of the following: • Azure Cloud Data Components | Databricks | Python | PySpark | Terraform | APIs | Lakehouse | Data Mesh | Nosql DBs | GitHub Person Specification • Self motivator with a desire to learn new skills and embrace new technologies in more »

Banking and Financial Services sector is advantageous. Deep knowledge or experience with using as much of the following: Azure Cloud Data Components | Databricks | Python | PySpark | Terraform | APIs | Lakehouse | Data Mesh | Nosql DBs | GitHub Person Specification Self motivator with a desire to learn new skills and embrace new technologies in more »

a Senior Data Engineer with a strong focus on Databricks. Proficiency in Python and SQL for data processing and analysis. Spark Python API/PySpark Hands-on experience with AWS services related to data storage and processing In-depth knowledge of Databricks Delta Lake and Light Tables. Familiarity with more »

role is Inside IR35 and will be a couple of days per month onsite in London. Skills Required: Essential experience in Databricks, ADF, SQL, PySpark, CI/CD. Strong design and coding skills (e.g. Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data more »

understand consumers. Hands-on data engineering/development experience, preferably in a cloud/big data environment Skilled in at least one of Python, PySpark, SQL or similar Experience in guiding or managing roles in insight or data functions, delivering data projects and insight to inspire action and drive more »

understand consumers. Hands-on data engineering/development experience, preferably in a cloud/big data environment Skilled in at least one of Python, PySpark, SQL or similar Experience in guiding or managing roles in insight or data functions, delivering data projects and insight to inspire action and drive more »

V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write unit and integration tests in Python with unittest, pytest, etc. Strong understanding of more »

data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection Act, EU Procurement more »

Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns and implementation Benefits : £50-£60k DOE Mainly home based more »

cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge in developing in Databricks and experience in coding with PySpark, Spark SQL. Experience in design and development of complex data and analytics solutions in an iterative manner for large enterprise business/data warehouse more »

and industry standards for the organization. Strong experience on Azure cloud services like Azure, ADF, ADLS, Synapse Proficiency in querying languages such as SQL, Pyspark, Python and familiarity with data visualization tools (e.g. Power BI). Strong communication skills to gather the business requirements from stakeholder and propose best more »

requiring 2-3 days onsite) and is paying up to £110,000 per annum Key Skills Strong commercial experience with Python/SQL/PySpark Knowledge of converting business requirements to engineering processes Azure environment - Data Bricks & Data Factory Industry experience with Insurance would be highly desirable The processing more »

Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure Synapse and Azure Data Lake Python, PySpark and T-SQL In return you will be offered a competitive salary and benefits package, remote working options and an opportunity to work with more »

end data solutions, delivering best-in-class experiences for their external clients. Technical Background: SAS SAS Base Azure or AWS or GCP Python/PySpark Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture more »

of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the circumstance. Please apply today more »

customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below more »

experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and pull requests A self-starter, passionate about converting data more »

experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up for later more »

come with scaling a company • The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines • Excellent knowledge of PySpark, Python and SQL fundamentals • Experience in contributing to complex shared repositories. What’s nice to have: • Prior early-stage B2B SaaS experience involving client more »

start interviewing ASAP. Responsibilities: Azure Cloud Data Engineering using Azure Databricks Data Warehousing Data Engineering Very strong with the Microsoft Stack ESSENTIAL knowledge of PySpark clusters Python & C# Scripting experience Experience of message queues (Kafka) Experience of containerization (Docker) FINANCIAL SERVICES EXPERIENCE (Energy/commodities trading) If you have more »

preferably GCP | Expertise in event-driven data integrations and click-stream ingestion | Proven ability in stakeholder management and project leadership | Proficiency in SQL, Python, PySpark | Solid background in data pipeline orchestration, data access, and retention tooling | Demonstrable impact on infrastructure scalability and data privacy initiatives | Collaborative spirit | Innovative problem more »