20 of 20 Apache Spark Jobs in the North of England

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

years (Senior) of data engineering experience Hands-on experience with Palantir Foundry and/or Foundry Data Platform (FDP) Strong proficiency in: Python SQL Spark (PySpark or SparkSQL) Experience building production data pipelines in cloud environments (AWS, Azure, or GCP) Understanding of data modeling, schema design, and metadata management ...

excels in distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus ...

seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. Experience required: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL ...

seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. Experience required: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL ...

deploying machine learning models into production environments (MLOps experience is advantageous). Hands-on experience with big-data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Key Competencies Strong analytical and conceptual thinking. Excellent communication and data ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

engineering across ingestion, transformation and data centralisation. Experience with tools such as Glue, Fivetran, Kafka, Dataflow, ADF or Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. ...

engineering across ingestion, transformation and data centralisation. Experience with tools such as Glue, Fivetran, Kafka, Dataflow, ADF or Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. ...

databases into ADLS Gen2 and OneLake Develop structured data models aligned to Lakehouse, Medallion Architecture, and Delta Lake patterns Continuously profile, debug, and optimise Spark jobs, SQL queries, and Python scripts for maximum performance and cost-efficiency at scale Champion DevOps best practices: implement infrastructure-as-code (Terraform), automated … Essential Technical Skills Advanced proficiency in Python and PySpark, writing clean, modular, object-oriented code for data transformations Strong command of SQL (T-SQL, Spark SQL) for data exploration, validation, and final-stage modelling Deep hands-on experience with Microsoft Fabric and its tooling such as Azure Data Factory ...

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will design … environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets ...

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will design … environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets ...

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will design … environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets ...

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will design … environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets ...

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will design … environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets ...

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will design … environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets ...

/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark, and Splunk in large-scale environments Write maintainable Python code, applying object-oriented and functional programming principles Implement and maintain CI/CD pipelines … sustainability, and recoverability Essential Skills & Experience Proven experience as a Lead or Senior Data Engineer in enterprise-scale environments Hands-on expertise with Hadoop, Spark, and Splunk Advanced Python development skills Experience designing and optimising high-performance data pipelines Strong understanding of CI/CD, source control, and automated ...

data architectures Build scalable ETL workflows and data lake solutions using AWS-native services Engineer high-performance data processing solutions using Python, Java, Scala, Spark and SQL Integrate structured and unstructured data from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data … expertise, particularly across data and analytics services Hands-on experience building ETL processes and data lake/warehouse architectures Proficiency in Python, Java, Scala, Spark and SQL Experience processing large-scale structured and unstructured datasets Experience extracting and integrating data via APIs and custom scripting Strong analytical thinking ...

experience with Cloudera Data Platform (CDP) on AWS or recent Hadoop administration on similar platforms. AWS administration and platform management experience. Strong experience in Spark, Airflow, Apache Ranger, Impala (AWS CDK is a plus). Agile experience with Scrum, and tools including Jira, Slack. Familiarity with PowerBI ...