24 of 24 Remote/Hybrid Permanent Apache Airflow Jobs

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 ...

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 ...

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 ...

production-grade data pipelines Solid understanding of integration patterns including REST APIs, webhooks, OAuth and event-driven architectures Experience with orchestration tools such as Airflow, Prefect or Dagster Familiarity with cloud environments (AWS, GCP or Azure) Experience with containerisation tools such as Docker and Kubernetes Proven experience integrating multiple ...

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 ...

organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance ...

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. ...

Kubernetes and modern containerised deployment patterns Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration Experience with tools such as Airflow or similar platform and orchestration technologies Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility Experience designing scalable infrastructure ...

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. ...

environments and know how to bring out the best in people. Technically strong: You're comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python - and you can go deep when needed. Cloud-savvy: You understand distributed systems and cloud platforms, and how to make them work ...

creating. You'll have experience with: AWS and cloud-native technologies Snowflake or similar cloud data platforms Data orchestration tools such as Airflow, Prefect or similar Amazon S3 and modern data architectures Postgres and semi-structured data models Event-driven architectures and scalable systems You'll understand how data ...

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). ...

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). ...

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 ...