13 of 13 Remote/Hybrid Apache Airflow Jobs in London

producing a clear blueprint for future delivery. Key responsibilities include: * Mapping and documenting the current data architecture and reporting ecosystem * Analysing existing Python and Apache Airflow data pipelines * Tracing data flows from multiple partner data sources through Google Cloud environments into reporting platforms * Reviewing and documenting transformation logic … platforms * Excellent documentation and communication skills * Experience with Tableau and Power BI environments * Knowledge of Google Cloud Platform (GCP) * Familiarity with PostgreSQL, Python and Apache Airflow * Experience within digital media, publishing, advertising technology or affiliate commerce environments * Understanding of programmatic advertising and revenue reporting models * Previous experience supporting ...

producing a clear blueprint for future delivery. Key responsibilities include: * Mapping and documenting the current data architecture and reporting ecosystem * Analysing existing Python and Apache Airflow data pipelines * Tracing data flows from multiple partner data sources through Google Cloud environments into reporting platforms * Reviewing and documenting transformation logic … platforms * Excellent documentation and communication skills * Experience with Tableau and Power BI environments * Knowledge of Google Cloud Platform (GCP) * Familiarity with PostgreSQL, Python and Apache Airflow * Experience within digital media, publishing, advertising technology or affiliate commerce environments * Understanding of programmatic advertising and revenue reporting models * Previous experience supporting ...

Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience … with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge ...

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 ...

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 ...

preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers and semantic models Data Migration & Mapping Demonstrated ...

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 ...

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). ...