51 to 75 of 279 PySpark Jobs in the UK

Prometheus, or Azure Monitor. Maintain best practices for data engineering performance, testing, and documentation. Technical Skills Required Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake. Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies. Experience tuning job configurations (e.g., memory management, parallelism ...

Foundation: Practical experience with data modelling, ETL/ELT, and a variety of database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with ...

such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery Experience with Python/PySpark Experience with implementing Rest APIs. Experience with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau Business Intelligence (BI) knowledge/ ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

Need to Be Successful Deep, hands‐on experience building and running production data platforms and products A good level of experience in Python (particularly pyspark) for building data pipelines Strong AWS and Terraform experience, with infrastructure‐as‐code as your default way of working rather than something ...

Warehouse structures, notebooks, pipelines and medallion architecture. Strong practical experience of SQL and at least one relevant programming language, such as Python, Postgres, PySpark or Java. Experience designing, developing and supporting ETL or ELT pipelines and data integration processes within a cloud data platform. A strong understanding of data ...

Analytics capabilities. What you'll do Data Engineering Delivery: Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data science. Data Architecture & Modelling: Develop and maintain robustlakehousearchitectures ...

tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with Python or PySpark for scripting and automating data tasks. Knowledge of CI/CD approaches for Data Platforms Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects. ...

Analytics capabilities. What you'll do Data Engineering Delivery: Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data science. Data Architecture & Modelling: Develop and maintain robustlakehousearchitectures ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Advanced Apache Spark experience(PySpark/Spark SQL), including performance tuning (partitioning, shuffle optimization, caching), troubleshooting, and designing scalable batch/stream processing patterns. Deep lakehouse and data platform ...

Resiliency, and SecurityIn-depth knowledge of the financial services industry and their IT systemsPractical cloud native experiencePreferred qualifications, capabilities, and skillsAdvanced Apache Spark experience (PySpark/Spark SQL), including performance tuning (partitioning, shuffle optimization, caching), troubleshooting, and designing scalable batch/stream processing patterns. Deep lakehouse and data platform ...

API Gateway, and CloudWatch. Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms. Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools. Drive observability, monitoring, logging, and operational readiness across software platforms and services. ...

technologies, with a focus on building and maintaining scalable data solutions. Key Skills & Experience Strong experience with Python and SQL Hands-on experience with PySpark/Apache Spark Experience with Databricks Experience working with AWS and/or Microsoft Azure Strong understanding of data pipelines, ETL/ ...

Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure ...

patterns, batch and streaming ingestion, event driven design Conceptual, logical and physical data modelling. Dimensional and data vault both useful Advanced SQL, Python or PySpark Declarative pipelines (Delta Live Tables or equivalent), Databricks Workflows, Auto Loader and Structured Streaming Microsoft Purview for data governance, cataloguing and lineage Azure Data ...

/reporting outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks. ...

Generation), Serverless, DWH models, Data Mesh, Data Fabric, Medallion and Data Products. Hands on mindset : Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON. Agile Ways of Working Run and contribute to agile ceremonies, helping to shape ...

Hands-on expertise in Snowflake and Databricks Proficient in Microsoft Azure, including Azure Data Factory and Azure Data Lake Advanced SQL and Python or PySpark skills Experience building enterprise-level ETL/ELT pipelines Knowledge of data modelling, governance, and data quality Previous consultancy or client-facing delivery experience ...

stakeholders to translate business challenges into analytical solutions. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python and SQL skills, with strong PySpark experience Hands-on expertise with Microsoft Fabric and Databricks. Experience building production-grade data pipelines, reusable data assets and machine learning solutions. Experience communicating ...

workflows Defining and enforcing standardised engineering patterns across a shared codebase Operational reliability, including monitoring, structured logging, alerting, and systematic failure recovery Desirable PySpark Experience supporting Airflow in a self‐managed environment Experience in a business building a data platform from the ground up Working Arrangements This ...

ability to work closely with both technical and non-technical stakeholders. Experience withtechnologies such as Azure SQL, Synapse, Data Factory, Python or PySpark wouldbe advantageous but is not essential. Why Apply? Newly created position offering excellent scope for growth. Opportunity to become a key member of an expanding analytics ...

relevant data solutions development qualifications (e.g. Microsoft certification; Databricks Certification; data apprenticeship qualifications)Additional InformationTech StackSQL Server, SSIS, T-SQLADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lakeSummaryType: Full-timeFunction: Analyst ...

development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience with Git, CI/CD and automated testing. Comfortable working in Linux ...

development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience with Git, CI/CD and automated testing. Comfortable working in Linux ...