22 of 22 Remote/Hybrid Apache Airflow Jobs in the UK excluding London

What you'll be doing: * Building and maintaining scalable data pipelines and workflows * Developing Python based solutions for data processing and integration * Working with Apache Airflow to orchestrate data workflows * Supporting containerised environments using Docker * Collaborating with engineers, analysts, and client teams on technical delivery * Contributing to continuous … improvement and platform reliability What you'll bring: * Strong hands on experience with Python 3 * Experience working with Apache Airflow * Experience working within Dockerised environments * Good understanding of data engineering principles and ETL processes * Strong problem solving and communication skills * Financial markets or trading domain exposure would ...

What you'll be doing: * Building and maintaining scalable data pipelines and workflows * Developing Python based solutions for data processing and integration * Working with Apache Airflow to orchestrate data workflows * Supporting containerised environments using Docker * Collaborating with engineers, analysts, and client teams on technical delivery * Contributing to continuous … improvement and platform reliability What you'll bring: * Strong hands on experience with Python 3 * Experience working with Apache Airflow * Experience working within Dockerised environments * Good understanding of data engineering principles and ETL processes * Strong problem solving and communication skills * Financial markets or trading domain exposure would ...

professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices. Must Have: AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; Key Responsibilities Design, develop, and maintain scalable Python applications and services Build … optimize cloud-native data processing pipelines Develop and manage workflows using orchestration tools such as Airflow Work with large-scale data processing frameworks including Apache Spark Deploy and maintain containerized applications using Docker Implement infrastructure automation using Terraform Integrate solutions with enterprise data and secure file transfer systems ...

data validation and application testing processes across distributed systems Investigate production issues using data analysis to identify root causes Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures Validate data using tools such as Jupyter Notebooks and Amazon Athena Analyse data across multiple formats … additional programming language (e.g., Java) Experience with scripting languages such as Bash Strong understanding of automated testing frameworks and methodologies Hands-on experience with Apache Airflow and log analysis Familiarity with data processing tools such as Apache Spark Experience working with cloud platforms and services, including: Monitoring ...

career in data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience ...

career in data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience ...

Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with ...

technical stakeholders Strong communication, problem-solving and analytical skills Desirable Experience Experience with Azure, AWS or GCP Exposure to orchestration tools such as Airflow, Dagster or Fabric Pipelines Experience with Git, CI/CD pipelines and DataOps practices Knowledge of Microsoft Purview, Unity Catalog or similar governance tools Experience ...

model on hybrid/on-prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg ...

including optimisation of complex queries (E). Experience building data pipelines and ETL/ELT workflows using tools such as: Azure Data Factory, Databricks, Airflow, Luigi, or similar (E) Strong understanding of data modelling (E) Programming skills in Python and/or Scala for data processing (D). Experience ...

data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling, data warehousing, data governance The role is 100% remote, however you must ...

Proven experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication ...

warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context of orchestration tools like Airflow Confident communication skills and the ability to work effectively in a remote team A proactive approach with the ability to take ownership and solve ...

combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat. Skills: dbt spark sql snowflake apache airflow cloud TLNT1 ...

combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat. Skills: dbt spark sql snowflake apache airflow cloud JBLE1 ...

retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. * Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. * Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. ...

demonstrable performance metrics. Preferred Bachelor's degree in Computer Science or Software Engineering. Experience deploying AI within AWS and MS Azure. Experience using Docker, Airflow and Openshift. Cloud Certification. Data science model review, code refactoring, model optimization, containerisation, deployment, versioning, monitoring of model quality and non-functional requirements. ...

integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time … robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time … robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems … Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity ...

distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure reliability and quality Collaborate with engineering teams to deliver robust, maintainable systems Key Requirements: Experience building … Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production data systems Strong problem-solving skills and attention to detail Ability ...

distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure reliability and quality Collaborate with engineering teams to deliver robust, maintainable systems Key Requirements: Experience building … Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production data systems Strong problem-solving skills and attention to detail Ability ...