26 to 50 of 199 Permanent Apache Airflow Jobs

1classification ) Strong SQL&Python Hands-onETL/ELTexperience(e.g.,Matillion,Talend,Fivetran,ADF) Experiencewith Snowflake (AWS/Azure/GCPbeneficial) Strongdatamodellingknowledge Understandingofdatagovernanceandsecuritybestpractices Abilitytotranslatebusinessneedsintoscalablesolutions Desirable Airflow,dbt,Kafka,CI/CD,BItools,governanceplatforms,financialservicesexperience. Interestedinbuildingmodern,enterprise-scaledataplatformsinahighlyregulatedenvironment Applynow ...

working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

Skills and Experience * Strong commercial experience working with AWS in production environments. * Proficiency in Python and SQL for data processing and orchestration. * Experience with Airflow for workflow management. * Knowledge of cloud data warehousing, ideally Redshift. * Experience with infrastructure as code and CI/CD tooling such as Terraform ...

with hands on Snowflake experience • Proven dbt experience at scale • Strong dimensional modelling using Kimball principles • Python for data engineering tasks • Experience with Airflow or similar orchestration tools • Git based workflows • Familiarity with BI tools such as Tableau, Looker, or Power BI • Experience working in cloud environments including ...

Experienced building real pipelines — not just notebooks Curious about how financial systems actually work Bonus points for: Exposure to ML workflows Familiarity with dbt, Airflow, Docker Experience handling financial or semi-structured data Interest in LLM infrastructure and vector databases Finance background is not required. Intellectual horsepower and ownership ...

Experience working with complex, multi source data environments, ideally including ecommerce and subscription data. Experience with data pipeline orchestrations tools such as Cloud Composer, Airflow or equivalent. Comfort working in fast moving environments with imperfect starting points. Ability to balance best practice with pragmatism and delivery speed. Strong communication ...

SENIOR DATA ENGINEER £75,000 + BENEFITS MANCHESTER (Hybrid) This is an opportunity to take real ownership of a modern data platform within a growing, technology-driven bank. You will join a collaborative data team ...

SENIOR DATA ENGINEER £75,000 + BENEFITS PRIMARILY REMOTE This is an opportunity to take real ownership of a modern data platform within a growing, technology-driven bank. You will join a collaborative data team ...

tooling Good scripting skills (Python/SQL/Bash) Strong understanding of AWS security, IAM, and networking Comfortable operating in Agile, delivery-led environments Apache Airflow for DAG Date-Led Platform/Cloud Engineering Key requirements: Active SC Clearance (essential) Permanent role Ideally you will be based around ...

EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive ...

EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive ...

EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive ...

Familiarity with cloud-based data tools and modern data ecosystems. Understanding of data modeling, warehousing concepts, and best practices Nice-to-Have Experience with Airflow, dbt, or similar orchestration/modeling tools. Experience with BI tools Knowledge of GCP services (Cloud Storage, Dataflow, Pub/Sub, etc.). Social ...

Familiarity with cloud-based data tools and modern data ecosystems. Understanding of data modeling, warehousing concepts, and best practices Nice-to-Have Experience with Airflow, dbt, or similar orchestration/modeling tools. Experience with BI tools Knowledge of GCP services (Cloud Storage, Dataflow, Pub/Sub, etc.). Social ...

technical expertise with mentoring, guidance, and collaboration across teams. Core technologies include: Google Cloud Platform (BigQuery, Dataflow, Dataproc, Data Fusion, Data Streams, Cloud Functions, Airflow/Composer), SQL, Python, CI/CD tooling About you You'll have 10+ years experience in Data Engineering Experience operating in a Lead ...

grade data pipelines for multiple internal teams. Develops and optimises central data models supporting analytics, ML, and operational workloads. Works with Databricks, AWS, dbt, Airflow, and Looker as part of a modern data stack. Leads complex technical initiatives and improves efficiency through CI/CD, observability, and tooling. Ensures ...

Time-series data experience (market data, telemetry, pricing, events) Streaming exposure (Kafka/Event Hubs/Kinesis) Experience with Temporal (or similar orchestrators like Airflow/Dagster/Prefect) Any exposure to AI agents/automation tooling 👉 Apply ...

technologies . You will be utilising and playing with tools across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like ...

modern data warehouse such as Snowflake, Redshift, or BigQuery. Experience building and maintaining ETL pipelines and data models. Knowledge of orchestration tools such as Airflow or Dagster. Infrastructure-as-code experience such as Terraform or similar. A background working in smaller, high-growth companies or strong engineering-led environments. ...

while contributing to best practices across the wider platform. You'll be working heavily with Python , SQL and Spark , using tools such as Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ ...

peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant ...

where priorities evolve and things aren’t always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems , generative ...

where priorities evolve and things aren't always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems, generative ...

databases Ideally you will have experience with some of the following technology that is also in the tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis ...

Testing). Familiarity with C++ or Go is a significant plus. Tooling & Orchestration: Deep experience with containerization (Docker, Kubernetes) and orchestration tools like Kubeflow, Airflow, or Metaflow. Cloud Architecture: Expertise in deploying ML workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations ...