16 of 16 Apache Airflow Jobs in the West Midlands

millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting … should build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse ...

analytics and reporting, and contributing to the adoption of AI-powered workflows and automation. Key Responsibilities & Skills: Build and maintain scalable data pipelines using Apache Airflow or similar orchestration tools. Develop integrations with internal and third-party APIs, ensuring reliable and efficient data flows. Design and optimise ...

prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model deployment, monitoring, versioning ...

Knowledge of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process ...

. Deep understanding of neural networks, reinforcement learning, and generative models . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices . Soft Skills: Excellent problem-solving, communication, and leadership abilities. ...

with cross-functional teams to deliver high-impact data solutions. Key Responsibilities: Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow) Lead the migration and optimisation of data workflows into Snowflake. Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data. Define ...

habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives in a startup ...

/SD/PP etc.) required for December cutover. Build scalable ingestion pipelines using Delta Lake/Parquet and modern orchestration tools (ADF, dbx, Airflow, etc.). Collaborate with SAP functional teams to validate business logic, deltas, and data quality. Implement CI/CD and DevOps practices for data ...

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 ...

with AWS/Azure and Kubernetes Proven delivery of large-scale migration programmes Desirable: CI/CD and DevOps experience Integration with tools like Airflow, Snowflake, Databricks Experience in regulated/public sector environments What you need to do now If you're interested in this role, click 'apply ...

culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data … background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering ...

building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/… solutions for both structured and unstructured data. Automate workflows and orchestrate jobs using Airflow and GitHub Actions. Integrate data with third-party APIs to support real-time marketing insights. Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product. Champion best practices in data governance, observability ...

services and tools, such as Salesforce, Segment, HubSpot, Stripe is beneficial Experience with SQL and data warehousing/pipelining tools such as BigQuery, Airflow, etc Proven experience in navigating and transforming legacy codebases, as well as leading greenfield projects ...

My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are ...

based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using … tools such as Apache Sedona and native Iceberg geospatial functionality. Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams. Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components. Collaborate closely with ...

ingested data to business-ready datasets Optimise PySpark-based data transformation logic for performance and reliability Build scalable and maintainable pipelines in Databricks and Airflow Implement and uphold GDPR-compliant processes around PII data Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets … Experience Required Extensive hands-on experience with PySpark, including performance optimisation Deep working knowledge of Databricks (development, architecture, and operations) Proven experience working with Airflow for orchestration Proven track record in managing and securing PII data, with GDPR compliance in mind Experience in data governance processes; Alation experience preferred ...