1 to 25 of 57 Remote PySpark Jobs in England

on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical More ❯

on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical More ❯

on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical More ❯

on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

an impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

an impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and More ❯

knowledge sharing sessions and self-development. About You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of More ❯

financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing More ❯

Azure. Especially Synapse, ADF and Power BI (Datasets and Reports). Ideally SSIS, SSRS, SSAS with some understanding of Power App design and delivery Expert in SQL and Python (PySpark) languages, any other object orientated language skills would be a benefit Expert in data modelling and data architecture concepts Experience of setup and management of code management & deployment tools More ❯

Experience with Agile/Scrum Framework. Excellent problem-solving and analytical skills. Excellent communication skills, both at a deep technical level and stakeholder level. Data Expert experience with Databricks (PySpark). Experience building and maintaining complex ETL Projects, end-to-end (ingestion, processing, storage). Expert knowledge and experience with data modelling, data access, and data storage techniques. Experience More ❯

Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in a software house, consultancy, retail or retail automotive sector would be beneficial but not essential. More ❯

Troubleshoot issues and continuously improve data infrastructure Explore AI-driven enhancements to boost data accuracy and productivity Requirements: Strong experience with: Azure Databricks, Data Factory, Blob Storage Python/PySpark SQL Server, Parquet, Delta Lake Deep understanding of: ETL/ELT, CDC, stream processing Lakehouse architecture and data warehousing Scalable pipeline design and database optimisation A proactive mindset, strong More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: ·Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. ·Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. ·Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledgeof modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability to More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯