1 to 25 of 65 Remote/Hybrid Apache Airflow Jobs in the UK excluding London

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 ...

United Kingdom 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 and engineering skills to deliver trusted … 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 ...

organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes Own solutions from initial requirements through to production … Experience Required: Strong commercial Python and SQL experience Hands-on experience with AWS data services Amazon Redshift or comparable cloud data-warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data-modelling and production pipeline knowledge The confidence to work directly with Finance and technical ...

fields of data analytics and software Proficiency in Python programming language and common data science packages. Experience with data engineering tools (e.g. Apache Spark, AWS Glue, Kinesis, Snowflake, Apache Airflow) Experience in building data pipelines and data streaming applications. Experience with tools to support the software ...

implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time … data modelling and design skills. Extensive experience designing and building large-scale, efficient data pipelines for complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark. Experience working with cloud platforms, particularly AWS and Azure. Knowledge of big data technologies and distributed data processing. Understanding ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

test, and deploy ETL pipelines to source, cleanse, and optimise data at scale. Automate and orchestrate data workflows: Develop and maintain orchestration solutions (e.g. Apache Airflow), implementing testing, alerting, monitoring, and data quality checks as first‐class concerns. Ensure data quality and observability: Embed data testing and validation … event streaming platforms including Kafka and its core concepts on topics, messages, and consumers. Experience building and operating automated data workflows using tools like Apache Airflow. Experience implementing data quality and validation checks throughout pipelines to ensure accuracy, completeness, consistency, and reliability. Practical experience implementing monitoring, observability and alerting ...

. Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing data pipelines, ETL/ELT processes and modern data models. Practical understanding of modern data architecture approaches, including ...

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 at least one major cloud provider (AWS, Azure, or Google Cloud) alongside a curiosity to learn ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer ...

Kanban. Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences. Unfortunately ...

/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, or Google Cloud) and curiosity to learn others. Bridging ...

required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation and optimisation ...

required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation and optimisation ...

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 ...

Working knowledge of Kubernetes/EKS, comfortable deploying to and reasoning about containerised workloads in a managed K8s environment. Experience orchestrating pipelines with Dagster, Airflow, Prefect, or similar. Solid grasp of ETL concepts and production‐grade pipeline design. Beneficial Skills Interest in chemistry, life sciences, robotics, or manufacturing. Hands ...