26 to 50 of 304 Apache Jobs in England

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience ...

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

stakeholder/data consumer management. Strong programming skills in languages such as Python, familiarity with large scale, distributed data processing engines such as Apache Spark, with a solid understanding of data structures and algorithms. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g. ...

engineering teams. Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments. Experience with technologies such as Apache Spark and modern data engineering frameworks. Experience with cloud platforms and data services, ideally AWS, including technologies such as Redshift and S3. Experience working ...

supported by solid software engineering fundamentals (version control, testing, CI/CD). Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience. Experience designing and operating cloud-native data platforms (AWS or Azure preferred ...

with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation * Implement ...

data transformation and orchestration processes Extensive Experience with AWS services including IAM Lambda EKS S3 Data Lake EMR PySpark MWAA and Lakehouse technologies, Apache Iceberg Proven expertise with Snowflake including performance tuning and efficient query design Experience with batch pipelines eg StreamSets and streaming technologies eg Kafka Nice ...

data pipelines, orchestration, and automation; Solid software engineering fundamentals, including version control, testing, and CI/CD; Experience with workflow orchestration frameworks such as Apache Airflow; Experience with cloud-native data platforms, preferably AWS or Azure; Experience with enterprise data warehouses, preferably Snowflake; Experience with performance tuning, cost controls ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools ...

solutions. Pipeline Development : Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow. Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery processes ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data ...

similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last ...

Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

comfort working through ambiguity. Desirable MLOps excellence: reproducible pipelines, model versioning, CI/CD, observability, and automated evaluation. Data engineering: proficiency with Databricks, Apache Spark, Delta Lake, MLflow, and SQL; experience integrating datasets and maintaining data quality. Model training and optimisation: experience with pre‐training, fine‐tuning, distributed training ...

pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift or equivalent ...

Oracle databases. Experience designing and supporting ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of Autosys and Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...

skills. Ability to think creatively and propose innovative solutions. To qualify for this role, you must have: Proven experience and knowledge with PySpark and Apache Spark including the fundamentals of how it works. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data lake architectures. Strong experience and programming ...

similar data-focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands-on experience with Apache Spark, Databricks, dbt and cloud-based data platforms Good understanding of data modelling principles, data lakes and data warehouse architectures Experience working with ...

with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a plus ...

similar data‐focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands‐on experience with Apache Spark, Databricks, dbt and cloud‐based data platforms Good understanding of data modelling principles, data lakes and data warehouse architectures Experience working with ...

mesh concepts and their practical implementation within large organisations Experience integrating Databricks with AWS services including S3, IAM, VPC, and AWS Glue Familiarity with Apache Spark, dbt, data pipelines, and modern analytics architectures Understanding of access management, audit frameworks, and enterprise governance controls Delivery Experience Experience leading data product ...

Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python ...

Computer Science or equivalent practical experience Experience developing finance applications is a plus Working experience with Terraform is a plus Experience creating workflows for Apache Airflow is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work ...